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IBM Rational Enterprise Modernization for System z Technical Sales Mastery
IBM pdf
Killexams : IBM pdf - BingNews http://www.bing.com:80/news/search?q=IBM+pdf&cc=us&format=RSS Search results Killexams : IBM pdf - BingNews http://www.bing.com:80/news/search?q=IBM+pdf&cc=us&format=RSS https://killexams.com/exam_list/IBM Killexams : IBM board probes claims of fudged sales figures that led to big bonuses for execs

Exclusive IBM's board of directors has started an investigation into claims that its sales numbers were manipulated, leading to executives securing big bonuses. If the board fails to take any action, it may face a lawsuit to claw back millions of dollars from top staff.

In late March, just days before IBM was sued for securities fraud, the IT giant's board received a demand letter from attorneys representing shareholders.

The letter, according to sources familiar with the matter, asked the board to investigate allegations that later surfaced in the securities lawsuit: that the company, under former CEO Ginny Rometty and current CEO Arvind Krishna, deceived shareholders by unlawfully manipulating mainframe revenues in a way that misled investors and inflated executive bonuses.

Our sources tell us that if the IBM board fails to deal with the allegations, a derivatives lawsuit is expected to follow in which the plaintiffs will try to claw back millions of dollars worth of bonus payments made to executives.

A shareholder derivatives lawsuit is brought by shareholders on behalf of a corporation. It is filed against corporate leaders – company board members, officers, or others – alleged to have neglected their fiduciary duty.

We're told IBM's board has engaged a law firm to investigate the fraud allegations. If the board takes no action to address the supposed fraud, the plaintiffs should then be able file a derivatives claim in the company's name.

Assuming the court finds sufficient merit in the plaintiffs' claim to allow a derivatives case, and if the plaintiffs prevail, most of any damage award would belong to the company – which would benefit shareholders, but would not go to them directly.

A legal scholar who spoke with The Register on background for lack of familiarity with this specific case said it's unusual for shareholders to present the board with a demand letter because unless you can show the board is conflicted or acting in self-interest, shareholders generally aren't allowed to initiate a derivatives case.

IBM did not respond to two requests to confirm or deny the existence of the demand letter.

Buried on page 38 of a 10-Q filing with the SEC last week, however, Big Blue disclosed it had received and responded to such a missive.

"On March 25, 2022, the Board of Directors received a shareholder demand letter making similar allegations [to the securities class-action lawsuit] and demanding that the company's Board of Directors take action to assert the company's rights," IBM noted in the submission, a detail that so far has gone unreported.

"A special committee of independent directors has been formed to investigate the issues raised in the letter."

The securities fraud claim [PDF] against IBM was filed on April 5 in New York, on behalf of the June E. Adams Irrevocable Trust. It names as defendants not only IBM, but current and former corporate leaders including Rometty, former CFO Martin J. Schroeter (now CEO of IBM spin-off Kyndryl), current CFO James J. Kavanaugh, and current CEO Arvind Krishna.

Since the lawsuit was initially filed by law firm Milberg Coleman Bryson Phillips Grossman, LLC, it has been joined by at least five other law firms representing other IBM shareholders. In June, the court recognized Iron Workers Local 580 Joint Funds as the lead plaintiff.

The complaint contends that IBM between April 4, 2017 and October 20, 2021 "improperly and in violation of Generally Accepted Accounting Principles ('GAAP') embarked on a fraudulent scheme to shift billions of dollars in revenues from its mainframe line of business to its Strategic Imperatives and CAMSS line of business."

... a fraudulent scheme to shift billions of dollars in revenues from its mainframe line of business to its Strategic Imperatives and CAMSS line of business

CAMSS is an abbreviation for Cloud, Analytics, Mobile, Security and Systems, business segments that were designated as strategic imperatives by IBM's leadership. The complaint argues that IBM instituted a bonus scheme that rewarded execs and encouraged IBM salespeople for the sale of CAMSS products. As a result, revenue arising from mainframe sales got reclassified as CAMSS sales, which boosted bonuses even as it misled investors – by giving shareholders an untrue picture of the IT giant's sales performance – it is claimed.

The Register spoke with two former IBM sales employees who were unaffiliated with the litigation and had between them more than forty years of experience with Big Blue. They described manipulative sales reporting – not all of which is necessarily unlawful – as a common practice, not only at IBM but at other large enterprise software firms.

"Think of it as, like, the worst kept secret," said one, who described one way IBM salespeople adjust sales figures to their own advantage. "It all starts with the CRM system, the customer relationship management system. IBM uses SugarCRM, but they make it very easy when you get a deal.

"You go through a bunch of checkboxes and you check off which categories pertain to this deal and how much of it is services, how much of it is hardware, how much in particular is cloud-based or analytics. And this is the big thing with the CAMSS, right? To check off all the boxes pertaining to CAMSS and then you allocate a percent to that."

That is to say, you only have to assign a small part of the sales deal to CAMSS to record it as a CAMSS win.

The other described various dubious directives that salespeople had to comply with, which steered salespeople toward meeting management goals and discouraged rocking the boat.

For example, this individual described IBM Z Linux part number manipulation. "A very common practice was to create a duplicate part number," this former IBMer explained. "It's a unique part number but there's no difference in product or delivery."

That makes no difference to the customer, we were told, but the way products got categorized affected sales staff and executive compensation.

The issue before the court in New York is whether flexible accounting of this sort, to the extent it can be documented, violated the law or IBM misled investors. If IBM's board finds no corrective actions are necessary, a successful derivatives complaint could return millions paid in unwarranted executive bonuses to company coffers. ®

Editor's note: This article was updated to clarify that the demand letter was sent in late March, just before the securities lawsuit was filed in April, as confirmed by the 10-Q filing.

Tue, 02 Aug 2022 07:27:00 -0500 en text/html https://www.theregister.com/2022/08/01/exclusive_ibm_board_of_directors/
Killexams : IBM Research Open-Sources Deep Search Tools

(Laborant/Shutterstock)

IBM Research’s Deep Search product uses natural language processing (NLP) to “ingest and analyze massive amounts of data—structured and unstructured.” Over the years, Deep Search has seen a wide range of scientific uses, from Covid-19 research to molecular synthesis. Now, IBM Research is streamlining the scientific applications of Deep Search by open-sourcing part of the product through the release of Deep Search for Scientific Discovery (DS4SD).

DS4SD includes specific segments of Deep Search aimed at document conversion and processing. First is the Deep Search Experience, a document conversion service that includes a drag-and-drop interface and interactive conversion to allow for quality checks. The second element of DS4SD is the Deep Search Toolkit, a Python package that allows users to “programmatically upload and convert documents in bulk” by pointing the toolkit to a folder whose contents will then be uploaded and converted from PDFs into “easily decipherable” JSON files. The toolkit integrates with existing services, and IBM Research is welcoming contributions to the open-source toolkit from the developer community.

IBM Research paints DS4SD as a boon for handling unstructured data (data not contained in a structured database). This data, IBM Research said, holds a “lot of value” for scientific research; by way of example, they cited IBM’s own Project Photoresist, which in 2020 used Deep Search to comb through more than 6,000 patents, documents, and material data sheets in the hunt for a new molecule. IBM Research says that Deep Search offers up to a 1,000× data ingestion speedup and up to a 100× data screening speedup compared to manual alternatives.

The launch of DS4SD follows the launch of GT4SD—IBM Research’s Generative Toolkit for Scientific Discovery—in March of this year. GT4SD is an open-source library to accelerate hypothesis generation for scientific discovery. Together, DS4SD and GT4SD constitute the first steps in what IBM Research is calling its Open Science Hub for Accelerated Discovery. IBM Research says more is yet to come, with “new capabilities, such as AI models and high quality data sources” to be made available through DS4SD in the future. Deep Search has also added “over 364 million” public documents (like patents and research papers) for users to leverage in their research—a big change from the previous “bring your own data” nature of the tool.

The Deep Search Toolkit is accessible here.

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Mon, 18 Jul 2022 02:37:00 -0500 text/html https://www.datanami.com/2022/07/18/ibm-research-open-sources-deep-search-tools/
Killexams : Amazon, IBM Move Swiftly on Post-Quantum Cryptographic Algorithms Selected by NIST

A month after the National Institute of Standards and Technology (NIST) revealed the first quantum-safe algorithms, Amazon Web Services (AWS) and IBM have swiftly moved forward. Google was also quick to outline an aggressive implementation plan for its cloud service that it started a decade ago.

It helps that IBM researchers contributed to three of the four algorithms, while AWS had a hand in one. Google is also among those who contributed to SPHINCS+.

A long process that started in 2016 with 69 original candidates ends with the selection of four algorithms that will become NIST standards, which will play a critical role in protecting encrypted data from the vast power of quantum computers.

NIST's four choices include CRYSTALS-Kyber, a public-private key-encapsulation mechanism (KEM) for general asymmetric encryption, such as when connecting websites. For digital signatures, NIST selected CRYSTALS-Dilithium, FALCON, and SPHINCS+. NIST will add a few more algorithms to the mix in two years.

Vadim Lyubashevsky, a cryptographer who works in IBM's Zurich Research Laboratories, contributed to the development of CRYSTALS-Kyber, CRYSTALS-Dilithium, and Falcon. Lyubashevsky was predictably pleased by the algorithms selected, but he had only anticipated NIST would pick two digital signature candidates rather than three.

Ideally, NIST would have chosen a second key establishment algorithm, according to Lyubashevsky. "They could have chosen one more right away just to be safe," he told Dark Reading. "I think some people expected McEliece to be chosen, but maybe NIST decided to hold off for two years to see what the backup should be to Kyber."

IBM's New Mainframe Supports NIST-Selected Algorithms

After NIST identified the algorithms, IBM moved forward by specifying them into its recently launched z16 mainframe. IBM introduced the z16 in April, calling it the "first quantum-safe system," enabled by its new Crypto Express 8S card and APIs that provide access to the NIST APIs.

IBM was championing three of the algorithms that NIST selected, so IBM had already included them in the z16. Since IBM had unveiled the z16 before the NIST decision, the company implemented the algorithms into the new system. IBM last week made it official that the z16 supports the algorithms.

Anne Dames, an IBM distinguished engineer who works on the company's z Systems team, explained that the Crypto Express 8S card could implement various cryptographic algorithms. Nevertheless, IBM was betting on CRYSTAL-Kyber and Dilithium, according to Dames.

"We are very fortunate in that it went in the direction we hoped it would go," she told Dark Reading. "And because we chose to implement CRYSTALS-Kyber and CRYSTALS-Dilithium in the hardware security module, which allows clients to get access to it, the firmware in that hardware security module can be updated. So, if other algorithms were selected, then we would add them to our roadmap for inclusion of those algorithms for the future."

A software library on the system allows application and infrastructure developers to incorporate APIs so that clients can generate quantum-safe digital signatures for both classic computing systems and quantum computers.

"We also have a CRYSTALS-Kyber interface in place so that we can generate a key and provide it wrapped by a Kyber key so that could be used in a potential key exchange scheme," Dames said. "And we've also incorporated some APIs that allow clients to have a key exchange scheme between two parties."

Dames noted that clients might use Dilithium to generate digital signatures on documents. "Think about code signing servers, things like that, or documents signing services, where people would like to actually use the digital signature capability to ensure the authenticity of the document or of the code that's being used," she said.

AWS Engineers Algorithms Into Services

During Amazon's AWS re:Inforce security conference last week in Boston, the cloud provider emphasized its post-quantum cryptography (PQC) efforts. According to Margaret Salter, director of applied cryptography at AWS, Amazon is already engineering the NIST standards into its services.

During a breakout session on AWS' cryptography efforts at the conference, Salter said AWS had implemented an open source, hybrid post-quantum key exchange based on a specification called s2n-tls, which implements the Transport Layer Security (TLS) protocol across different AWS services. AWS has contributed it as a draft standard to the Internet Engineering Task Force (IETF).

Salter explained that the hybrid key exchange brings together its traditional key exchanges while enabling post-quantum security. "We have regular key exchanges that we've been using for years and years to protect data," she said. "We don't want to get rid of those; we're just going to enhance them by adding a public key exchange on top of it. And using both of those, you have traditional security, plus post quantum security."

Last week, Amazon announced that it deployed s2n-tls, the hybrid post-quantum TLS with CRYSTALS-Kyber, which connects to the AWS Key Management Service (AWS KMS) and AWS Certificate Manager (ACM). In an update this week, Amazon documented its stated support for AWS Secrets Manager, a service for managing, rotating, and retrieving database credentials and API keys.

Google's Decade-Long PQC Migration

While Google didn't make implementation announcements like AWS in the immediate aftermath of NIST's selection, VP and CISO Phil Venables said Google has been focused on PQC algorithms "beyond theoretical implementations" for over a decade. Venables was among several prominent researchers who co-authored a technical paper outlining the urgency of adopting PQC strategies. The peer-reviewed paper was published in May by Nature, a respected journal for the science and technology communities.

"At Google, we're well into a multi-year effort to migrate to post-quantum cryptography that is designed to address both immediate and long-term risks to protect sensitive information," Venables wrote in a blog post published following the NIST announcement. "We have one goal: ensure that Google is PQC ready."

Venables recalled an experiment in 2016 with Chrome where a minimal number of connections from the Web browser to Google servers used a post-quantum key-exchange algorithm alongside the existing elliptic-curve key-exchange algorithm. "By adding a post-quantum algorithm in a hybrid mode with the existing key exchange, we were able to test its implementation without affecting user security," Venables noted.

Google and Cloudflare announced a "wide-scale post-quantum experiment" in 2019 implementing two post-quantum key exchanges, "integrated into Cloudflare's TLS stack, and deployed the implementation on edge servers and in Chrome Canary clients." The experiment helped Google understand the implications of deploying two post-quantum key agreements with TLS.

Venables noted that last year Google tested post-quantum confidentiality in TLS and found that various network products were not compatible with post-quantum TLS. "We were able to work with the vendor so that the issue was fixed in future firmware updates," he said. "By experimenting early, we resolved this issue for future deployments."

Other Standards Efforts

The four algorithms NIST announced are an important milestone in advancing PQC, but there's other work to be done besides quantum-safe encryption. The AWS TLS submission to the IETF is one example; others include such efforts as Hybrid PQ VPN.

"What you will see happening is those organizations that work on TLS protocols, or SSH, or VPN type protocols, will now come together and put together proposals which they will evaluate in their communities to determine what's best and which protocols should be updated, how the certificates should be defined, and things like things like that," IBM's Dames said.

Dustin Moody, a mathematician at NIST who leads its PQC project, shared a similar view during a panel discussion at the RSA Conference in June. "There's been a lot of global cooperation with our NIST process, rather than fracturing of the effort and coming up with a lot of different algorithms," Moody said. "We've seen most countries and standards organizations waiting to see what comes out of our nice progress on this process, as well as participating in that. And we see that as a very good sign."

Thu, 04 Aug 2022 10:39:00 -0500 en text/html https://www.darkreading.com/dr-tech/amazon-ibm-move-swiftly-on-post-quantum-cryptographic-algorithms-selected-by-nist
Killexams : Predictive Analytics Market Worth $38 Billion by 2028

NEW YORK, Aug. 9, 2022 /PRNewswire/ -- The Insight Partners published latest research study on "Predictive Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Component [Solution (Risk Analytics, Marketing Analytics, Sales Analytics, Customer Analytics, and Others) and Service], Deployment Mode (On-Premise and Cloud-Based), Organization Size [Small and Medium Enterprises (SMEs) and Large Enterprises], and Industry Vertical (IT & Telecom, BFSI, Energy & Utilities, Government and Defence, Retail and e-Commerce, Manufacturing, and Others)", the global predictive analytics market size is projected to grow from $12.49 billion in 2022 to $38.03 billion by 2028; it is expected to grow at a CAGR of 20.4% from 2022 to 2028.

Download PDF Brochure of Predictive Analytics Market Size - COVID-19 Impact and Global Analysis with Strategic Developments at: https://www.theinsightpartners.com/sample/TIPTE100000160/

Predictive Analytics Market Report Scope & Strategic Insights:

Report Coverage

Details

Market Size Value in

US$ 12.49 Billion in 2022

Market Size Value by

US$ 38.03 Billion by 2028

Growth rate

CAGR of 20.4% from 2022 to 2028

Forecast Period

2022-2028

Base Year

2022

No. of Pages

229

No. Tables

142

No. of Charts & Figures

100

Historical data available

Yes

Segments covered

Component, Deployment Mode, Organization Size, and Industry Vertical

Regional scope

North America; Europe; Asia Pacific; Latin America; MEA

Country scope

US, UK, Canada, Germany, France, Italy, Australia, Russia, China, Japan, South Korea, Saudi Arabia, Brazil, Argentina

Report coverage

Revenue forecast, company ranking, competitive landscape, growth factors, and trends


Predictive Analytics Market: Competitive Landscape and Key Developments

IBM Corporation; Microsoft Corporation; Oracle Corporation; SAP SE; Google LLC; SAS Institute Inc.; Salesforce.com, inc.; Amazon Web Services; Hewlett Packard Enterprise Development LP (HPE); and NTT DATA Corporation are among the leading players profiled in this report of the predictive analytics market. Several other essential predictive analytics market players were analyzed for a holistic view of the predictive analytics market and its ecosystem. The report provides detailed predictive analytics market insights, which help the key players strategize their growth.

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In 2022, Microsoft partnered with Teradata, a provider of a multi-cloud platform for enterprise analytics, for the integration of Teradata's Vantage data platform into Microsoft Azure.

In 2021, IBM and Black & Veatch collaborated to assist customers in keeping their assets and equipment working at peak performance and reliability by integrating AI with real-time data analytics.

In 2020, Microsoft partnered with SAS for the extension of their business solutions. As a part of this move, the companies will migrate SAS analytical products and solutions to Microsoft Azure as a preferred cloud provider for SAS cloud.

Increase in Uptake of Predictive Analytics Tools Propels Predictive Analytics Market Growth:

Predictive analytics tools use data to state the probabilities of the possible outcomes in the future. Knowing these probabilities can help users plan many aspects of their business. Predictive analytics is part of a larger set of data analytics; other aspects of data analytics include descriptive analytics, which helps users understand what their data represent; diagnostic analytics, which helps identify the causes of past events; and prescriptive analytics, which provides users with practical advice to make better decisions.

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Prescriptive analytics is similar to predictive analytics. Predictive modeling is the most technical aspect of predictive analytics. Data analysts perform modeling with statistics and other historical data. The model then estimates the likelihood of different outcomes. In e-commerce, predictive modeling tools help analyze customer data. It can predict how many people are likely to buy a certain product. It can also predict the return on investment (ROI) of targeted marketing campaigns. Some software-as-a-service (SaaS) may collect data directly from online stores, such as Amazon Marketplace.

Predictive analytics tools may benefit social media marketing by guiding users to plan the type of content to post; these tools also recommend the best time and day to post. Manufacturing industries need predictive analytics to manage inventory, supply chains, and staff hiring processes. Transport planning and execution are performed more efficiently with predictive analytics tools. For instance, SAP is a leading multinational software company. Its Predictive Analytics was one of the leading data analytics platforms across the world. Now, the software is gradually being integrated into SAP's larger Cloud Analytics platform, which does more business intelligence (BI) than SAP Predictive Analytics. SAP Analytics Cloud, which works on all devices, utilizes artificial intelligence (AI) to Improve business planning and forecasting. This analytics platform can be easily extended to businesses of all sizes.

North America is one of the most vital regions for the uptake and growth of new technologies due to favorable government policies that boost innovation, the presence of a substantial industrial base, and high purchasing power, especially in developed countries such as the US and Canada. The industrial sector in the US is a prominent market for security analytics. The country consists of a large number of predictive analytics platform developers. The COVID-19 pandemic enforced companies to adopt the work-from-home culture, increasing the demand for big data and data analytics.

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The pandemic created an enormous challenge for businesses in North America to continue operating despite massive shutdowns of offices and other facilities. Furthermore, the surge in digital traffic presented an opportunity for numerous online frauds, phishing attacks, denial of inventory, and ransomware attacks. Due to the increased risk of cybercrimes, enterprises began adopting advanced predictive analytics-based solutions to detect and manage any abnormal behavior in their networks. Thus, with the growing number of remote working facilities, the need for predictive analytics solutions also increased in North America during the COVID-19 pandemic.

Predictive Analytics Market: Industry Overview

The predictive analytics market is segmented on the basis of component, deployment mode, organization size, industry vertical, and geography. The predictive analytics market analysis, by component, is segmented into solutions and services. The predictive analytics market based on solution is segmented into risk analytics, marketing analytics, sales analytics, customer analytics, and others. The predictive analytics market analysis, by deployment mode, is bifurcated into cloud and on-premises. The predictive analytics market, by organization size, is segmented into large enterprises, and small and medium-sized enterprises (SMEs). The predictive analytics market, by vertical, is segmented into BFSI, manufacturing, retail and e-Commerce, IT and telecom, energy and utilities, government and defense, and others.

In terms of geography, the predictive analytics market is categorized into five regions—North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and South America (SAM). The predictive analytics market in North America is sub segmented into the US, Canada, and Mexico. Predictive analytics software is increasingly being adopted in multiple organizations, and cloud-based predictive analytics software solutions are gaining significance in SMEs in North America. The highly competitive retail sector in this region is harnessing the potential of this technique to efficiently transform store layouts and enhance the customer experience in various businesses. In a few North American countries, retailers use smart carts with locator beacons, pin-sized cameras installed near shelves, or the store's Wi-Fi network to determine the footfall in the store, provide directions to a specific product section, and check key areas visited by customers. This process can also provide basic demographic data for parameters such as gender and age.

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Wal-Mart, Costco, Kroger, The Home Depot, and Target have their origin in North America. The amount of data generated by stores surges with the rise in sales. Without implementing analytics solutions, it becomes difficult to manage such vast data that include records, behaviors, etc., of all customers. Players such as Euclid Analytics offer spatial analytics platforms for retailers operating offline to help them track customer traffic, loyalty, and other indicators associated with customer visits. Euclid's solutions include preconfigured sensors connected to switches that are linked through a network. These sensors can detect customer calls from devices that have Wi-Fi turned on. Additionally, IBM's Sterling Store Engagement solution provides a real-time view of store inventory, and order data through an intuitive user interface that can be accessed by store owners from counters and mobile devices.

Heavy investments in healthcare sectors, advancements in technologies to help manage a large number of medical records, and the use of Big Data analytics to efficiently predict at-risk patients and create effective treatment plans are further contributing to the growth of the predictive analytics market in North America. Predictive analytics helps assess patterns in a patients' medical records, thereby allowing healthcare professionals to develop effective treatment plans to Improve outcomes. During the COVID-19 pandemic, healthcare predictive analytics solutions helped provide hospitals with insightful predictions of the number of hospitalizations for various treatments, which significantly helped them deal with the influx of a large number of patients. However, the high costs of installation and a shortage of skilled workers may limit the use of predictive analytics solutions in, both, the retail and healthcare sectors.

Browse Adjoining Reports:

Procurement Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Application (Supply Chain Analytics, Risk Analytics, Spend Analytics, Demand Forecasting, Contract Management, Vendor Management); Deployment (Cloud, On Premises); Industry Vertical (Retail and E Commerce, Manufacturing, Government and Defense, Healthcare and Life sciences, Telecom and IT, Energy and Utility, Banking Financial Services and Insurance) and Geography

Risk Analytics Market Forecast to 2028 - Covid-19 Impact and Global Analysis - by Component (Software, Services); Type (Strategic Risk, Financial Risk, Operational Risk, Others); Deployment Mode (Cloud, On-Premise); Industry Vertical (BFSI, IT and Telecom, Manufacturing, Retail and Consumer Goods, Transportation and Logistics, Government and Defense, Energy and Utilities, Healthcare and Life Sciences, Others) and Geography

Preventive Risk Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Component (Solution, Services); Deployment Type (On-Premise, Cloud); Organization Size (SMEs, Large Enterprises); Type (Strategic Risks, Financial Risks, Operational Risks, Compliance Risks); Industry (BFSI, Energy and Utilities, Government and Defense, Healthcare, Manufacturing, IT and Telecom, Retail, Others) and Geography

Business Analytics Market Forecast to 2028 - Covid-19 Impact and Global Analysis - by Application (Supply Chain Analytics, Spatial Analytics, Workforce Analytics, Marketing Analytics, Behavioral Analytics, Risk And Credit Analytics, and Pricing Analytics); Deployment (On-Premise, Cloud, and Hybrid); End-user (BFSI, IT & Telecom, Manufacturing, Retail, Energy & Power, and Healthcare)

Big Data Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Component (Software and Services), Analytics Tool (Dashboard and Data Visualization, Data Mining and Warehousing, Self-Service Tool, Reporting, and Others), Application (Customer Analytics, Supply Chain Analytics, Marketing Analytics, Pricing Analytics, Workforce Analytics, and Others), and End Use Industry (Pharmaceutical, Semiconductor, Battery Manufacturing, Electronics, and Others)

Data Analytics Outsourcing Market to 2027 - Global Analysis and Forecasts by Type (Descriptive Data Analytics, Predictive Data Analytics, and Prescriptive Data Analytics); Application (Sales Analytics, Marketing Analytics, Risk & Finance Analytics, and Supply Chain Analytics); and End-user (BFSI, Healthcare, Retail, Manufacturing, Telecom, and Media & Entertainment)

Sales Performance Management Market Forecast to 2028 - Covid-19 Impact and Global Analysis - by Solution (Incentive Compensation Management, Territory Management, Sales Monitoring and Planning, and Sales Analytics), Deployment Type (On-premise, Cloud), Services (Professional Services, Managed Services), End User (BFSI, Manufacturing, Energy and Utility, and Healthcare)

Customer Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Component (Solution, Services); Deployment Type (On-premises, Cloud); Enterprise Size (Small and Medium-sized Enterprises, Large Enterprises); End-user (BFSI, IT and Telecom, Media and Entertainment, Consumer Goods and Retail, Travel and Hospitality, Others) and Geography

Life Science Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics); Component (Services, Software); End User (Pharmaceutical & Biotechnology Companies, Research Centers, Medical Device Companies, Third-Party Administrators)

About Us:

The Insight Partners is a one stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. We specialize in industries such as Semiconductor and Electronics, Aerospace and Defense, Automotive and Transportation, Biotechnology, Healthcare IT, Manufacturing and Construction, Medical Device, Technology, Media and Telecommunications, Chemicals and Materials.

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Tue, 09 Aug 2022 00:56:00 -0500 text/html https://www.tmcnet.com/usubmit/-predictive-analytics-market-worth-38-billion-2028-204-/2022/08/09/9652572.htm
Killexams : Artificial Intelligence (AI) in Insurance Market May See a Big Move : Google, Microsoft , IBM: Long Term Growth Story

New Jersey, NJ -- (SBWIRE) -- 08/06/2022 -- The Global Artificial Intelligence (AI) in Insurance Market Report assesses developments relevant to the insurance industry and identifies key risks and vulnerabilities for the Artificial Intelligence (AI) in Insurance Industry to make stakeholders aware with current and future scenarios. To derive complete assessment and market estimates a wide list of Insurers, aggregators, agency were considered in the coverage; Some of the top players profiled are Google, Microsoft Corporation, Amazon Web Services Inc, IBM Corporation, Avaamo Inc, Baidu Inc, Cape Analytics LLC, Oracle Corporation & ?Artificial Intelligence (AI) in InsuranceMarket Scope and Market Breakdown.

Next step one should take to boost topline? Track exact strategic moves and product landscape of Artificial Intelligence (AI) in Insurance market.

Get Free Access of Global Artificial Intelligence (AI) in Insurance Market Research demo PDF https://www.htfmarketreport.com/sample-report/3570714-global-artificial-intelligence-205

Globally, the insurance industry experienced strong premium growth in 2022, at percent, whereas growth in 2022 is noticeably slower, at percent. Total premiums (GWP) are expected to reach ... by 2028. Artificial Intelligence (AI) in Insurance Companies seeking top growth opportunities in the global insurance markets can explore both the fastest-growing markets and the largest developed markets; the slowing growth rates suggest; however, most carriers would also need to search farther afield. "The growth during this period will be fuelled by the emerging markets in the APAC and Latin American regions"

The report depicts the total market of Artificial Intelligence (AI) in Insurance industry; further market is broken down by application [on, Life Insurance, Car Insurance, Property Insurance, Channel, By Channels, Market has been segmented into, Direct Sales, Distribution Channel, Regional & Country Analysis, North America Country (United States, Canada), South America (Brazil, Argentina, Peru, Chile, Rest of South America), Asia-Pacific (China, Japan, India, South Korea, Australia, Singapore, Malaysia, Indonesia, Philippines, Thailand, Vietnam, Others), Europe (Germany, United Kingdom, France, Italy, Spain, Switzerland, Netherlands, Austria, Sweden, Norway, Belgium, Rest of Europe) & Rest of World [GCC, South Africa, Egypt, Turkey, Israel, Others]], type [, Software & Platform] and country.

Geographically, the global version of report covers following regions and country:
- North America [United States, Canada and Mexico]
- Europe [Germany, the UK, France, Italy, Netherlands, Belgium, Russia, Spain, Sweden, and Rest of Europe]
- Asia-Pacific [China, Japan, South Korea, India, Australia, Southeast Asia and Others]
- South America [Brazil, Argentina, Chile and Rest of South America]
- Middle East and Africa (South Africa, Turkey, Israel, GCC Countries and Rest of Africa)

Browse Executive Summary and Complete Table of Content @ https://www.htfmarketreport.com/reports/3570714-global-artificial-intelligence-205

Research Approach & Assumptions:

- HTF MI describe major trends of Global Artificial Intelligence (AI) in Insurance Market using final data for 2022 and previous years, as well as quarterly or annual reports for 2022. In general, Years considered in the study i.e. base year as 2022, Historical data considered as 2022-2028and Forecast time frame is 2022-2028.

- Various analytical tools were used to assess how the insurance Sector and particularly Artificial Intelligence (AI) in Insurance Industry might respond over the next decade to global macroeconomic shifts. Our "consensus scenario" assumes a recovery of Global GDP growth in the coming years in addition to fluctuating interest rates; the results presented in Artificial Intelligence (AI) in Insurance Market report reflect the output of this model.

- While calculating growth of Artificial Intelligence (AI) in Insurance Market, we generally used nominal gross premium figures based on 2022 fixed exchange rates, since this data allowed us to compare local growth rates without the interference of currency fluctuations. The exceptions, which use floating exchange rates, are Argentina, Ukraine, and Venezuela, many African Countries etc due to high inflation rates.

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Thanks for studying Artificial Intelligence (AI) in Insurance Industry research publication; you can also get individual chapter wise section or region wise report version like USA, China, Southeast Asia, LATAM, APAC etc.

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Sat, 06 Aug 2022 15:54:00 -0500 en-US text/html https://insurancenewsnet.com/oarticle/artificial-intelligence-ai-in-insurance-market-may-see-a-big-move-google-microsoft-ibm-long-term-growth-story-32
Killexams : CIOReview Names Cobalt Iron Among 10 Most Promising IBM Solution Providers 2022

LAWRENCE, Kan.--(BUSINESS WIRE)--Jul 28, 2022--

Cobalt Iron Inc., a leading provider of SaaS-based enterprise data protection, today announced that the company has been deemed one of the 10 Most Promising IBM Solution Providers 2022 by CIOReview Magazine. The annual list of companies is selected by a panel of experts and members of CIOReview Magazine’s editorial board to recognize and promote innovation and entrepreneurship. A technology partner for IBM, Cobalt Iron earned the distinction based on its Compass ® enterprise SaaS backup platform for monitoring, managing, provisioning, and securing the entire enterprise backup landscape.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20220728005043/en/

Cobalt Iron Compass® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection. (Graphic: Business Wire)

According to CIOReview, “Cobalt Iron has built a patented cyber-resilience technology in a SaaS model to alleviate the complexities of managing large, multivendor setups, providing an effectual humanless backup experience. This SaaS-based data protection platform, called Compass, leverages strong IBM technologies. For example, IBM Spectrum Protect is embedded into the platform from a data backup and recovery perspective. ... By combining IBM’s technologies and the intellectual property built by Cobalt Iron, the company delivers a secure, modernized approach to data protection, providing a ‘true’ software as a service.”

Through proprietary technology, the Compass data protection platform integrates with, automates, and optimizes best-of-breed technologies, including IBM Spectrum Protect, IBM FlashSystem, IBM Red Hat Linux, IBM Cloud, and IBM Cloud Object Storage. Compass enhances and extends IBM technologies by automating more than 80% of backup infrastructure operations, optimizing the backup landscape through analytics, and securing backup data, making it a valuable addition to IBM’s data protection offerings.

CIOReview also praised Compass for its simple and intuitive interface to display a consolidated view of data backups across an entire organization without logging in to every backup product instance to extract data. The machine learning-enabled platform also automates backup processes and infrastructure, and it uses open APIs to connect with ticket management systems to generate tickets automatically about any backups that need immediate attention.

To ensure the security of data backups, Cobalt Iron has developed an architecture and security feature set called Cyber Shield for 24/7 threat protection, detection, and analysis that improves ransomware responsiveness. Compass is also being enhanced to use several patented techniques that are specific to analytics and ransomware. For example, analytics-based cloud brokering of data protection operations helps enterprises make secure, efficient, and cost-effective use of their cloud infrastructures. Another patented technique — dynamic IT infrastructure optimization in response to cyberthreats — offers unique ransomware analytics and automated optimization that will enable Compass to reconfigure IT infrastructure automatically when it detects cyberthreats, such as a ransomware attack, and dynamically adjust access to backup infrastructure and data to reduce exposure.

Compass is part of IBM’s product portfolio through the IBM Passport Advantage program. Through Passport Advantage, IBM sellers, partners, and distributors around the world can sell Compass under IBM part numbers to any organizations, particularly complex enterprises, that greatly benefit from the automated data protection and anti-ransomware solutions Compass delivers.

CIOReview’s report concludes, “With such innovations, all eyes will be on Cobalt Iron for further advancements in humanless, secure data backup solutions. Cobalt Iron currently focuses on IP protection and continuous R&D to bring about additional cybersecurity-related innovations, promising a more secure future for an enterprise’s data.”

About Cobalt Iron

Cobalt Iron was founded in 2013 to bring about fundamental changes in the world’s approach to secure data protection, and today the company’s Compass ® is the world’s leading SaaS-based enterprise data protection system. Through analytics and automation, Compass enables enterprises to transform and optimize legacy backup solutions into a simple cloud-based architecture with built-in cybersecurity. Processing more than 8 million jobs a month for customers in 44 countries, Compass delivers modern data protection for enterprise customers around the world. www.cobaltiron.com

Product or service names mentioned herein are the trademarks of their respective owners.

Link to Word Doc:www.wallstcom.com/CobaltIron/220728-Cobalt_Iron-CIOReview_Top_IBM_Provider_2022.docx

Photo Link:www.wallstcom.com/CobaltIron/Cobalt_Iron_CIO_Review_Top_IBM_Solution_Provider_Award_Logo.pdf

Photo Caption: Cobalt Iron Compass ® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection.

Follow Cobalt Iron

https://twitter.com/cobaltiron

https://www.linkedin.com/company/cobalt-iron/

https://www.youtube.com/user/CobaltIronLLC

View source version on businesswire.com:https://www.businesswire.com/news/home/20220728005043/en/

CONTACT: Agency Contact:

Sunny Branson

Wall Street Communications

Tel: +1 801 326 9946

Email:sunny@wallstcom.com

Web:www.wallstcom.comCobalt Iron Contact:

Mary Spurlock

VP of Marketing

Tel: +1 785 979 9461

Email:maspurlock@cobaltiron.com

Web:www.cobaltiron.com

KEYWORD: EUROPE UNITED STATES NORTH AMERICA KANSAS

INDUSTRY KEYWORD: DATA MANAGEMENT SECURITY TECHNOLOGY SOFTWARE NETWORKS INTERNET

SOURCE: Cobalt Iron

Copyright Business Wire 2022.

PUB: 07/28/2022 09:00 AM/DISC: 07/28/2022 09:03 AM

http://www.businesswire.com/news/home/20220728005043/en

Thu, 28 Jul 2022 01:29:00 -0500 en text/html https://www.eagletribune.com/region/cioreview-names-cobalt-iron-among-10-most-promising-ibm-solution-providers-2022/article_56f7dda7-cbd5-586a-9d5f-f882022100da.html
Killexams : Court nixes 'shocking' $6 mln distress award for former IBM manager

* Firing stemmed from his concerns about race bias -sales manager

* He did not suffer enough distress to merit $6M award -panel

* Majority did uphold $5 mln award for economic damages

By Daniel Wiessner

(Reuters) - A U.S. appeals court has ruled that a $6 million pain and suffering award for a former IBM Corp sales manager who claimed he was fired for calling out bias against a Black salesman was "shockingly excessive," while upholding a slightly smaller award for economic damages.

The 9th U.S. Circuit Court of Appeals in a 2-1 ruling https://cdn.ca9.uscourts.gov/datastore/memoranda/2022/08/01/21-35548.pdf on Monday said Scott Kingston, who claims he refused supervisors' demands to cap the salesman's commissions, had not shown that his firing caused him sufficient anguish to justify the jury award that IBM had appealed.

But the majority rejected the company's bid to toss out a $5 million award for economic damages, saying Kingston had proven that his concerns about potential race discrimination played a role in his firing.

"Although we do not question that Kingston suffered psychological distress because of his termination, his distress does not appear to have been significantly greater than what anyone might suffer from being fired," the court said in an unsigned opinion.

IBM, which is represented by Jones Day, did not immediately respond to a request for comment on Tuesday.

Matthew Lee, a lawyer for Kingston, said he was pleased that the 9th Circuit "saw through IBM's dissembling, smoke and mirrors."

"We’re all fortunate, even IBM, to have people like Scott around to stand up against toxic corporate culture like this," Lee said in an email.

Kingston sued IBM in Seattle federal court in 2019, alleging violations of Washington state law. He said he had been fired a year earlier for refusing to lower a seven-figure commission owed to a Black salesman.

Kingston said he told a supervisor that capping the salesman's commission "might have been racial discrimination" because a white salesman had just received his full commission of more than $1 million.

IBM said that Kingston was fired for improperly approving a commission for another salesman.

Washington law, like federal antidiscrimination law, prohibits retaliation against workers who oppose discrimination in the workplace.

In dissent on Monday, 9th Circuit Judge Sandra Ikuta said IBM should not have been held liable at all. Kingston failed to show that the managers responsible for firing him knew about his concerns involving the sales commissions, Ikuta said.

The 9th Circuit sent the case back to the district court to hold a new trial on non-economic damages.

The panel included Circuit Judge Eric Miller and 6th Circuit Judge Ronald Gilman, who sat by designation.

The case is Kingston v. IBM Corp, 9th U.S. Circuit Court of Appeals, No. 21-35548.

For Kingston: Mark Sigmon and Matthew Lee of Milberg Coleman Bryson Phillips Grossman

For IBM: Anthony Dick of Jones Day

(NOTE: This article has been updated to include a statement from Matthew Lee.)

Tue, 02 Aug 2022 04:02:00 -0500 en-US text/html https://finance.yahoo.com/news/court-nixes-shocking-6-mln-160214283.html
Killexams : IBM Server VARs Market Product Type Reseller,Service Provider,Agent Sales, Revenue, Manufacturers, Suppliers, Key Players 2022 to 2028

The MarketWatch News Department was not involved in the creation of this content.

Aug 03, 2022 (Reportmines via Comtex) -- Pre and Post Covid is covered and Report Customization is available.

Market research reports provide insights into past, present, and forecast of "IBM Server VARs market size". It is now widely accepted that market share is one of the most important determinants of a company's profitability. In most cases, a company with a high market share in the market in which it provides services will be significantly more profitable than a competitor with a smaller market share. This report shows the estimation for the forecast period during 2022 tO 2028.

Get demo PDF of IBM Server VARs Market Analysis https://www.reportmines.com/enquiry/request-sample/1648448

The global IBM Server VARs market size is projected to reach multi million by 2028, in comparision to 2021, at unexpected CAGR during 2022-2028 (Ask for demo Report).

This Report is of 142 pages.

The report provides insights into the market segments. Based on region, the market is segmented into North America: United States, Canada, Europe: GermanyFrance, U.K., Italy, Russia,Asia-Pacific: China, Japan, South, India, Australia, China, Indonesia, Thailand, Malaysia, Latin America:Mexico, Brazil, Argentina, Colombia, Middle East & Africa:Turkey, Saudi, Arabia, UAE, Korea. The report includes major countries' markets based on the type and application. Based on type, the market is segmented into Reseller,Service Provider,Agent. Based on application, the market is classified into Large Enterprises,SMEs.

Get demo PDF of IBM Server VARs Market Analysis https://www.reportmines.com/enquiry/request-sample/1648448

The top competitors in the IBM Server VARs Market, as highlighted in the report, are:

  • Deloitte
  • OpenText
  • Cognizant Technology Solutions
  • PCM
  • Salient Process
  • Sea Level Solutions
  • Wipro
  • Infosys
  • Sirius Computer Solutions
  • Accenture
  • CDW Logistics
  • ConvergeOne
  • DATASKILL
  • HCL America Solutions
  • Information Technology Company
  • Insight
  • Integration Management
  • Presidio Networked Solutions
  • QueBIT
  • Softchoice
  • CapGemini
  • Tata Consultancy Services
  • 321Gang
  • 5x Technology
  • Aavitech
  • ABF Systems
  • Acumlus
  • Advanced Computer Concepts
  • Advanced Integrated Solutions Agile Rules Consultants

Purchase this report https://www.reportmines.com/purchase/1648448 (Price 3250 USD for a Single-User License)

Market Segmentation

The worldwide IBM Server VARs Market is categorized on Component, Deployment, Application, and Region.

The IBM Server VARs Market Analysis by types is segmented into:

  • Reseller
  • Service Provider
  • Agent

The IBM Server VARs Market Industry Research by Application surveys are categorized as follows:

In terms of Region, the IBM Server VARs Market Players available by Region are:

  • North America:
  • Europe:
    • Germany
    • France
    • U.K.
    • Italy
    • Russia
  • Asia-Pacific:
    • China
    • Japan
    • South Korea
    • India
    • Australia
    • China Taiwan
    • Indonesia
    • Thailand
    • Malaysia
  • Latin America:
    • Mexico
    • Brazil
    • Argentina Korea
    • Colombia
  • Middle East & Africa:
    • Turkey
    • Saudi
    • Arabia
    • UAE
    • Korea

Inquire or Share Your Questions If Any Before the Purchasing This Report https://www.reportmines.com/enquiry/pre-order-enquiry/1648448

Key Benefits for Industry Participants & Stakeholders

This report studies to improves quality of products and reduces prices for consumers, and maintains or increases market share, and return on shareholders’ investment.. The IBM Server VARs Market research reports say they help create value with customers and stakeholders opportunities with key market drivers

The IBM Server VARs market research report contains the following TOC:

  • Report Overview
  • Global Growth Trends
  • Competition Landscape by Key Players
  • Data by Type
  • Data by Application
  • North America Market Analysis
  • Europe Market Analysis
  • Asia-Pacific Market Analysis
  • Latin America Market Analysis
  • Middle East & Africa Market Analysis
  • Key Players Profiles Market Analysis
  • Analysts Viewpoints/Conclusions
  • Appendix

Get a demo of TOC https://www.reportmines.com/toc/1648448#tableofcontents

Highlights of The IBM Server VARs Market Report

The IBM Server VARs Market Industry Research Report contains:

  • The analysis includes competitive prices, technically updated products and other consumer friendly policies such as easy and installment credit, longer warranties etc.
  • Completes a thorough analysis of Growth rate forecast and future investment opportunities.
  • IBM Server VARs Market research information on top of the emerging tools, trends, issues, and context necessary for making informed decisions about business and technology.
  • Influence of COVID19 on the market IBM Server VARs market.

Purchase this report https://www.reportmines.com/purchase/1648448 (Price 3250 USD for a Single-User License)

COVID 19 Impact Analysis

The Covid pandemic (COVID-19) has affected all segments on earth whether its human or Market. As well as this market document can provide a total market assessment, Considering all aspects related to the impact of COVID 19 on the IBM Server VARs market. The major challenge faced by IBM Server VARs market is its competitors during and after the pandemic. Some of the major market players active in this market include Deloitte,OpenText,Cognizant Technology Solutions,PCM,Salient Process,Sea Level Solutions,Wipro,Infosys,Sirius Computer Solutions,Accenture,CDW Logistics,ConvergeOne,DATASKILL,HCL America Solutions,Information Technology Company,Insight,Integration Management,Presidio Networked Solutions,QueBIT,Softchoice,CapGemini,Tata Consultancy Services,321Gang,5x Technology,Aavitech,ABF Systems,Acumlus,Advanced Computer Concepts,Advanced Integrated Solutions Agile Rules Consultants.

Get Covid-19 Impact Analysis for IBM Server VARs Market research report https://www.reportmines.com/enquiry/request-covid19/1648448

IBM Server VARs Market Size and Industry Challenges

The IBM Server VARs Market research reports describe specific innovation challenges and outline best practices for addressing these challenges. It contains practical ideas, techniques and key practices. Explain common obstacles and provide practical solutions

Get demo PDF of IBM Server VARs Market Analysis https://www.reportmines.com/enquiry/request-sample/1648448

Reasons to Purchase the IBM Server VARs Market Report

  • Instead of making decisions in the dark, market research informs business decisions and reduces the chances of a plan failing.
  • Segmentation and Scope of the IBM Server VARs Market.
  • It adds credibility to the work you do.
  • It says that the market share of a company is a key to its profitability.

Purchase this report https://www.reportmines.com/purchase/1648448 (Price 3250 USD for a Single-User License)

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Report Published by: ReportMines

More Reports Published By Us:

IBM Storage VARs Market, Global Outlook and Forecast 2022-2028

Raster Encoder Market, Global Outlook and Forecast 2022-2028

Frequency Conversion Controller Market, Global Outlook and Forecast 2022-2028

Electronic Valve Controller Market, Global Outlook and Forecast 2022-2028

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Press Release Distributed by Lemon PR Wire

To view the original version on Lemon PR Wire visit IBM Server VARs Market Product Type Reseller,Service Provider,Agent Sales, Revenue, Manufacturers, Suppliers, Key Players 2022 to 2028

COMTEX_411539476/2788/2022-08-03T22:31:21

The MarketWatch News Department was not involved in the creation of this content.

Tue, 02 Aug 2022 12:00:00 -0500 en-US text/html https://www.marketwatch.com/press-release/ibm-server-vars-market-product-type-resellerservice-provideragent-sales-revenue-manufacturers-suppliers-key-players-2022-to-2028-2022-08-03
Killexams : The many derivatives of the CP/M operating system No result found, try new keyword!After a long and surprisingly varied dynasty, it's possible they're all FOSS now Its new licence says that "CP/M and its derivatives" are free for anyone to modify and redistribute. But which ... Wed, 03 Aug 2022 21:38:32 -0500 en-us text/html https://www.msn.com/en-us/news/technology/the-many-derivatives-of-the-cp-m-operating-system/ar-AA10ipCh Killexams : CIOReview Names Cobalt Iron Among 10 Most Promising IBM Solution Providers 2022

LAWRENCE, Kan., July 28, 2022--(BUSINESS WIRE)--Cobalt Iron Inc., a leading provider of SaaS-based enterprise data protection, today announced that the company has been deemed one of the 10 Most Promising IBM Solution Providers 2022 by CIOReview Magazine. The annual list of companies is selected by a panel of experts and members of CIOReview Magazine’s editorial board to recognize and promote innovation and entrepreneurship. A technology partner for IBM, Cobalt Iron earned the distinction based on its Compass® enterprise SaaS backup platform for monitoring, managing, provisioning, and securing the entire enterprise backup landscape.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20220728005043/en/

Cobalt Iron Compass® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection. (Graphic: Business Wire)

According to CIOReview, "Cobalt Iron has built a patented cyber-resilience technology in a SaaS model to alleviate the complexities of managing large, multivendor setups, providing an effectual humanless backup experience. This SaaS-based data protection platform, called Compass, leverages strong IBM technologies. For example, IBM Spectrum Protect is embedded into the platform from a data backup and recovery perspective. ... By combining IBM’s technologies and the intellectual property built by Cobalt Iron, the company delivers a secure, modernized approach to data protection, providing a ‘true’ software as a service."

Through proprietary technology, the Compass data protection platform integrates with, automates, and optimizes best-of-breed technologies, including IBM Spectrum Protect, IBM FlashSystem, IBM Red Hat Linux, IBM Cloud, and IBM Cloud Object Storage. Compass enhances and extends IBM technologies by automating more than 80% of backup infrastructure operations, optimizing the backup landscape through analytics, and securing backup data, making it a valuable addition to IBM’s data protection offerings.

CIOReview also praised Compass for its simple and intuitive interface to display a consolidated view of data backups across an entire organization without logging in to every backup product instance to extract data. The machine learning-enabled platform also automates backup processes and infrastructure, and it uses open APIs to connect with ticket management systems to generate tickets automatically about any backups that need immediate attention.

To ensure the security of data backups, Cobalt Iron has developed an architecture and security feature set called Cyber Shield for 24/7 threat protection, detection, and analysis that improves ransomware responsiveness. Compass is also being enhanced to use several patented techniques that are specific to analytics and ransomware. For example, analytics-based cloud brokering of data protection operations helps enterprises make secure, efficient, and cost-effective use of their cloud infrastructures. Another patented technique — dynamic IT infrastructure optimization in response to cyberthreats — offers unique ransomware analytics and automated optimization that will enable Compass to reconfigure IT infrastructure automatically when it detects cyberthreats, such as a ransomware attack, and dynamically adjust access to backup infrastructure and data to reduce exposure.

Compass is part of IBM’s product portfolio through the IBM Passport Advantage program. Through Passport Advantage, IBM sellers, partners, and distributors around the world can sell Compass under IBM part numbers to any organizations, particularly complex enterprises, that greatly benefit from the automated data protection and anti-ransomware solutions Compass delivers.

CIOReview’s report concludes, "With such innovations, all eyes will be on Cobalt Iron for further advancements in humanless, secure data backup solutions. Cobalt Iron currently focuses on IP protection and continuous R&D to bring about additional cybersecurity-related innovations, promising a more secure future for an enterprise’s data."

About Cobalt Iron

Cobalt Iron was founded in 2013 to bring about fundamental changes in the world’s approach to secure data protection, and today the company’s Compass® is the world’s leading SaaS-based enterprise data protection system. Through analytics and automation, Compass enables enterprises to transform and optimize legacy backup solutions into a simple cloud-based architecture with built-in cybersecurity. Processing more than 8 million jobs a month for customers in 44 countries, Compass delivers modern data protection for enterprise customers around the world. www.cobaltiron.com

Product or service names mentioned herein are the trademarks of their respective owners.

Link to Word Doc: www.wallstcom.com/CobaltIron/220728-Cobalt_Iron-CIOReview_Top_IBM_Provider_2022.docx

Photo Link: www.wallstcom.com/CobaltIron/Cobalt_Iron_CIO_Review_Top_IBM_Solution_Provider_Award_Logo.pdf

Photo Caption: Cobalt Iron Compass® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection.

Follow Cobalt Iron

https://twitter.com/cobaltiron
https://www.linkedin.com/company/cobalt-iron/
https://www.youtube.com/user/CobaltIronLLC

View source version on businesswire.com: https://www.businesswire.com/news/home/20220728005043/en/

Contacts

Agency Contact:
Sunny Branson
Wall Street Communications
Tel: +1 801 326 9946
Email: sunny@wallstcom.com
Web: www.wallstcom.com

Cobalt Iron Contact:
Mary Spurlock
VP of Marketing
Tel: +1 785 979 9461
Email: maspurlock@cobaltiron.com
Web: www.cobaltiron.com

Thu, 28 Jul 2022 01:04:00 -0500 en-NZ text/html https://nz.finance.yahoo.com/news/cioreview-names-cobalt-iron-among-130000149.html
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