There is no better option than our C2180-273 PDF Download and exam prep

You will get the exactly same replica of C2180-273 real exam questions that you are going to attempt in actual test. Killexams.com has maintained database of C2180-273 exam prep that is big questions bank highly pertinent to C2180-273 and served by test takers who attempt the C2180-273 exam and passed with high score.

Exam Code: C2180-273 Practice test 2022 by Killexams.com team
Business Process Manager Advanced V8.0 Integration
IBM Integration Questions and Answers
Killexams : IBM Integration mock test - BingNews https://killexams.com/pass4sure/exam-detail/C2180-273 Search results Killexams : IBM Integration mock test - BingNews https://killexams.com/pass4sure/exam-detail/C2180-273 https://killexams.com/exam_list/IBM Killexams : Big Data Integration Platform Market Hitting New Highs By 2028 | IBM, SnapLogic, Azure Data Factory (ADF)

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

Sep 21, 2022 (Market Insight Reports) -- The Big Data Integration Platform Market Report offers in-depth market information as well as incisive insights on market size, development, predictions, and other topics. It also offers current industry data on current market conditions as well as an industry perspective for forecasts up to 2022. For the benefit of executives, marketing, and sales, we offer resources. Additionally, well-organised tables and graphs are available for product managers, consultants, analysts, and others seeking critical industry data in a single, easily accessible document.

The Big Data Integration Platform Market (2022-2029) Survey Report is an expert analysis of the situation of the international market at the moment. The research report further divides the global Big Data Integration Platform Market into key competitors / brands, geographical areas, product categories, and end users. Additionally covered in this study are the potential and challenges, sales channels, distributors, market share, growth rates, and competitive conditions of the global market.

Download Free trial Big Data Integration Platform Market report
https://www.infinitybusinessinsights.com/request_sample.php?id=957416&mode=SR03

The worldwide Big Data Integration Platform Market is expected to grow at a booming CAGR of 2022-2030, rising from USD billion in 2021 to USD billion in 2028. It also shows the importance of the Big Data Integration Platform Market main players in the sector, including their business overviews, financial summaries, and SWOT assessments.

Top key players: IBM, SnapLogic, Azure Data Factory (ADF), Apache NiFi, Talend, Information Builders, Data Virtuality, Apache Sqoop, Denodo, Apache Gobblin, HVR, Oracle & Others.

The report’s main focus is on providing companies in the industry with a strategic analysis of COVID-19’s impact. This data is used to determine the potential influence of the Big Data Integration Platform Market. The Porter Five Forces model is utilised in the study to evaluate market participants’ competitive environments. The research looks at sales, gross earnings, and average profit margins in each market segment.

This report segments the Big Data Integration Platform Market on the basis of Types:
Cloud Based
Web Based

On the basis of Application, the Big Data Integration Platform Market is segmented into:
Large Enterprises
SMEs

To offer Big Data Integration Platform Market projections and forecasts at the regional and national levels, these segments are thoroughly examined. The information, which includes predicted sales and revenue statistics, gross profit, and other data, is presented in various charts and infographics. This file breaks down market types by product and displays production, revenue, price, market share, and boom percentage.

An extensive overview of the market is provided by estimates for important market categories in the global Big Data Integration Platform Market. By watching important product positioning and keeping an eye on the leading competitors, thorough market research is carried out within the market framework. Each country’s opportunity analysis for the global is also included in the study.

Obtain Premium Research Report Details, Considering the impact of COVID-19 @
https://www.infinitybusinessinsights.com/request_sample.php?id=957416&mode=SR03

Sadly, the COVID-19 pandemic obliterated request, bringing about decreased measures of requests and less result among makers. The drop in assembling amounts adversely affected the organizations of various part producers and innovation suppliers. Accordingly, creation precariousness fundamentally affects the overall economy.

Regional Analysis:
The Americas (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
Latin America (Brazil, Argentina, Colombia, and Rest of South America)
Saudi Arabia, the United Arab Emirates, Egypt, South Africa, and the rest of the Middle East and Africa

The years examined in this study are the following to estimate the Big Data Integration Platform Market size:

History Year: 2015-2019
Base Year: 2021
Estimated Year: 2022
Forecast Year: 2022 to 2028

Reasons Why You Should Buy This Report:

1.To gain an in-depth understanding of Big Data Integration Platform Market
2.To obtain research-based business decisions and add weight to presentations and marketing strategies
3.To gain competitive knowledge of leading market players
4.It gives pin point investigation of changing rivalry elements and keeps you in front of contenders.

You can get some information about this research here
https://www.infinitybusinessinsights.com/enquiry_before_buying.php?id=957416&mode=SR03

The research illuminates many elements of the market and provides answers to the following questions::

1.Who are the major players in the Big Data Integration Platform Market on a worldwide scale? What is the state of their business?
2.What are the market opportunities and dangers for the worldwide Big Data Integration Platform Market?
3.Which application, end-user, or product category would be looking for additional growth opportunities?

Table of Contents:

1 Big Data Integration Platform Market Overview
2 Big Data Integration Platform Market Company Profiles
3 Market Competition, by Players
4 Big Data Integration Platform Market Size Segment by Type
5 Big Data Integration Platform Market Size Segment by Application
6 North America by Country, by Type, and by Application
7 Europe by Country, by Type, and by Application
8 Asia-Pacific by Region, by Type, and by Application
9 South America by Country, by Type, and by Application
10 Middle East & Africa by Country, by Type, and by Application
11 Research Findings and Conclusion
12 Appendix…

If you have any special requirements, please let us know and we will offer you the report as you want.

Contact Us:
473 Mundet Place, Hillside, New Jersey, United States, Zip 07205
International – +1 518 300 3575
Email: inquiry@infinitybusinessinsights.com
Website: https://www.infinitybusinessinsights.com

COMTEX_414929707/2599/2022-09-21T02:13:48

Is there a problem with this press release? Contact the source provider Comtex at editorial@comtex.com. You can also contact MarketWatch Customer Service via our Customer Center.

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

Tue, 20 Sep 2022 18:13:00 -0500 en-US text/html https://www.marketwatch.com/press-release/big-data-integration-platform-market-hitting-new-highs-by-2028-ibm-snaplogic-azure-data-factory-adf-2022-09-21
Killexams : Industrial Manufacturing: Ready To Reclaim The Digital Transformation Crown?

By Judy Cubiss, SAP

Manufacturing companies have typically been deemed laggards when it comes to technology adoption habits. Such a reputation does seem puzzling for an industry once at the forefront of using integrated ERP and breakthrough innovations such as programmable machines, industrial robotics, the Internet of Things, and artificial intelligence.

But it’s difficult to escape the realization that the industry has delayed its transition to the cloud because it’s invested in legacy technology investments. Banking, retail, and insurance industries have typically followed manufacturers’ lead in digitalization and are now moving aggressively to the cloud. So why haven’t manufacturers continued their legacy as digital transformation pioneers?

Perhaps this apprehension toward the cloud is due to the DNA of industrial manufacturing businesses. To bring products into the market, manufacturers need rock-solid operations. Therefore, it’s reasonable to believe they’ll move to the cloud once they see the technology as equally rock-solid and an opportunity for improvement.

Laggards or conscientious transformers?

In a recent episode of “The Future of Mobility and Manufacturing,” Matthieu van Bilsen, Global Partner for Discrete Industries at the IBM Industry Centre of Excellence, and Patrick Lamm, Senior Director for the Industry Business Unit of Industrial Manufacturing at SAP, joined Bonnie D. Graham to shed light on manufacturers’ delay on acceptance of the cloud.

“Cloud technology is [now] becoming a default for driving costs down and accelerating value,” said van Bilsen. “But in the past, a lot of companies were reluctant to adopt it because of concerns such as network latency and security issues. That’s not the problem for industrial manufacturers anymore. Instead, the challenge is whether they can adapt and get the most benefits from the cloud.”

The cloud offers businesses two advantages: integration and extensibility. All the data and the systems in a company can become immediately available to participants – employees, stakeholders, partners, vendors, decision-makers, and executives – in the business network. Then, companies can include their customers in the value chain by connecting with them through assets, applications, and devices to keep track of the business’s value, innovate new models, and build stronger relationships.

MORE FROM FORBESSAP BrandVoice: 4 Tips To Prepare For Your Move To Cloud ERP

With the cloud as a foundational element of how a manufacturer operates, all these opportunities become possible at a truly unprecedented speed.

According to Lamm, speed is critical right now.

“Based on my conversations with many industry leaders, industrial manufacturers need to accelerate the innovation process in two directions,” said Lamm. “Number one is driving new solutions and establishing new business models. Number two is redefining the operational model to adapt faster to the marketplace.”

Take, for example, the recent industry drive to become more sustainable. Many industrial manufacturers focus on reducing their supply chain’s carbon footprint and waste. However, while those traditional goals are important, increasing the recycling rate of the industrial equipment being produced is even more vital. This new game of experimentation requires an understanding of which parts could be reused, remanufactured, recycled, or redesigned to be eco-friendly.

“If you think about the millions of devices in the field, manufacturers have an obligation to track and trace where they are,” said van Bilsen. “If companies can track, trace, and understand what kind of rare materials are stored in these reverse supply chain objects, they can integrate that in their production plans as well.”

Now that cloud solutions are fit for purposeful application, manufacturing companies can get answers to new questions quickly with instant computing power and capabilities integrated with operational processes while experimenting and establishing new practices. And more importantly, they can run applications on a platform that accelerates the entire business transformation journey.

Opportunities for scale and innovation

Cloud adoption is all about the culture of a business. The transformation mindset of people across every function is influenced by the experiences of the past. If operating in silos is “normal” and adopting new solutions and building new capabilities have been challenging, the desire for business continuity will be a powerful detractor against cloud solutions, no matter the advantages they bring.

Cloud really is a change driver. And successful transformation in this environment requires a full embrace of values around changing often, failing fast, learning continuously, and scaling when needed.

Once industrial manufacturers internalize that line of thinking into their DNA, they will approach the cloud without hesitation, fueled by excitement over the endless opportunities for genuine innovation that the technology provides.

To hear more of the conversation between Matthieu van Bilsen and Patrick Lamm, listen to the podcast episode, “How Cloud Solutions Help Industrial Manufacturers Transform,” hosted by Bonnie D. Graham.

Thu, 06 Oct 2022 06:22:00 -0500 SAP Guest en text/html https://www.forbes.com/sites/sap/2022/10/06/industrial-manufacturing-ready-to-reclaim-the-digital-transformation-crown/
Killexams : Former IBM VP Mandy Long Becomes CEO of BigBear.ai

Amanda “Mandy” Long, most recently vice president of information technology automation at IBM (NYSE: IBM), has joined BigBear.ai (NYSE: BBAI) as CEO and a board member.

Long succeeds Reggie Brothers, who will stay as a company adviser and transition to the role of operating partner at BigBear’s private equity owner AE Industrial Partners, the Columbia, Maryland-based company said Tuesday.

Brothers, a two-time Wash100 Award winner, has led the analytics and cyber engineering services company since its founding in December 2020.

Peter Cannito, chairman of the board at BigBear.ai, said Long brings to the company her experience in mergers and acquisitions and software products and expertise in advancing the adoption of artificial intelligence platforms, building technology portfolios and driving revenue growth.

“With Mandy at the helm, we expect to accelerate BigBear.ai’s ability to bring AI-based products to both Commercial and Federal markets as the Company transitions from a premier services and solutions provider to a technology-led, multi-market leader in AI,” Cannito added.

Long spent five years at IBM and held roles of increasing responsibility, including VP of IBM integration and application platform, general manager for IBM Watson health provider analytics and chief product and strategy officer, AI for IBM Watson. She previously served as VP of product management at Modernizing Medicine and Experian Health.

Tue, 11 Oct 2022 21:44:00 -0500 en-US text/html https://www.govconwire.com/2022/10/mandy-long-named-bigbear-ai-ceo-board-member/
Killexams : IBM Improves Data Resilience Across the Data Center with SAP Integration

IBM announced it’s extending the data-resilience capabilities of existing IBM data protection products and introducing new workload-specific solutions for SAP HANA and Salesforce.

The IBM Safeguarded Copy capability, which currently enables IBM FlashSystem and IBM DS8000 clients to create cyber-resilient immutable snapshots, is now available to clients running IBM’s Spectrum Scale high-performance global data platform, bringing logical air-gapping to unstructured data sets. This solution provides organizations with a consistent approach to safeguarding data, regardless of where it’s located or how it scales up or out, according to IBM.

Complementing the comprehensive capabilities that IBM Spectrum Protect and IBM Spectrum Protect Plus bring to on-premises and cloud-based applications respectively, today IBM is enhancing workload-specific data resilience with the announcement of IBM Sentinel for SAP HANA and IBM Spectrum Protect Plus Online Services for Salesforce.

IBM Spectrum Sentinel for SAP HANA is an end-to-end automated cyber-resilience solution that performs ransomware anomaly analysis of immutable SAP HANA primary storage snapshots and provides automated recovery orchestration functions.

Using the same technology as IBM Spectrum Sentinel for Epic, IBM Spectrum Sentinel for SAP HANA is designed to enhance protection for this popular in-memory enterprise database management system.

IBM Spectrum Sentinel for SAP HANA uses IBM Spectrum Copy Data Management to create immutable, application-aware Safeguarded Copy backups that it scans for malware, using machine learning to detect signs of possible corruption and generate forensic reports.

IBM Spectrum Sentinel can intelligently isolate infected backups, helping your organization to identify the most recent Verified and validated backup copies and accelerate time to recovery, according to the company.

IBM Spectrum Protect Plus Online Services delivers a data backup and recovery solution that enables clients to easily backup and restore cloud-based SaaS workloads.

Other parts of the IBM Storage portfolio have also been enhanced, including:

  • IBM FlashSystem storage arrays now feature policy-based replication capability and encryption on the wire for FlashSystem replication.
  • IBM Spectrum Protect and IBM Spectrum Protect Plus have new data security enhancements.
  • IBM Spectrum Virtualize for Public Cloud on Azure 8 adds functionality for currency with IBM Spectrum Virtualize on FlashSystem and with IBM Spectrum Virtualize appliances, including support for the new policy-based asynchronous replication capability.

For more information about this news, visit www.ibm.com.


Mon, 03 Oct 2022 01:00:00 -0500 en text/html https://www.dbta.com/Editorial/News-Flashes/IBM-Improves-Data-Resilience-Across-the-Data-Center-with-SAP-Integration-155201.aspx
Killexams : Top AI Chatbots 2022

Also see: What is Artificial Intelligence 

From healthcare to retail to entertainment and everywhere in between, more and more businesses are turning to AI chatbots to fill customer service roles. 

Grand View Research values the global chatbot market at $525.7 million in 2021 and expects it to rise at a compound annual growth rate (CAGR) of 25.7% from 2022 to 2030. With a market this large and only growing, it can be difficult for businesses looking to find the right chatbot solution for them.

Dozens of chatbot services and platforms are on the market, but we’ve gone through and found some of the top AI chatbots to provide companies a head start on finding the right chatbot for them.

Why Use Chatbots?

There are a few reasons for chatbots’ rise in prominence. First, it’s a cost-saving measure, as businesses won’t need to hire and train as many employees if they can simply automate the processes those employees would work in. It also allows businesses to collect data from customers in real-time to identify their preferences and pain points.

Also, chatbots are scalable, allowing expanding companies to more easily handle an increased load on their customer support infrastructure and other processes. This can let businesses maintain satisfactory service without breaking the bank.

Challenges of Using Chatbots in Customer-Facing Roles

There are, however, some concerns to note before using chatbots in customer-facing roles. According to a study on automation in the workplace by global management consulting firm McKinsey & Company, automation works best in roles with predictable, repetitive tasks with as little variation as possible.

This preference for predictable work is why AI can be great for things like transaction processing or employee onboarding, where it can stick to a script as much as possible. While this can generally be true for customer-facing roles, human interaction is an unpredictable process, and a number of issues can crop up.

If, for example, a customer doesn’t phrase their issue correctly or has a unique problem, chatbots can’t really do much beyond route the customer to a human employee, more or less acting as another frustrating barrier for your customers to get the help they need.

Additionally, AI isn’t ready to read emotions through a text chat or a voice call yet, and the robotic nature of the responses can feel cold and impersonal to those who interact with it. In a customer support role where the people making contact are likely to be frustrated, angry, or anxious, this can lead to those negative emotions heightening and worsening their overall experience and potentially the experience of your human customer support staff.

When selecting a chatbot solution, it’s best to make sure this sort of automation is what your business needs to provide excellent service to your customers while freeing up your employees from more repetitive work.

Also see: Top AI Software 

How to Select the Right Chatbot for Your Business

There are a few key features to look for and steps to take when selecting the right chatbot for your business. First, identify what problem or role in the organization this chatbot will serve. Like any employee, a chatbot works best when its managers can put it in the best position for success.

Second, make sure the chatbot can integrate natural language processing (NLP) and speech support into its models. The bot will likely be in a customer-facing role, and if it can’t properly learn how humans communicate and how to respond to that communication, it won’t be an effective member of the organization.

Finally, make sure the chatbot is deployable on every platform you’ll need it to deploy on. If you settle on a chatbot for your website, it’s best to also optimize it for other online platforms like mobile apps, social media, and voice channels. If you end up using different chatbots for each platform, this can muddy your brand’s customer-facing voice and make it more difficult to provide a consistent customer experience across all available channels.

Also see: The Future of Artificial Intelligence

Top AI Chatbots 2022

Zendesk Answer Bot

Zendesk’s suite of customer support tools and platforms can be bolstered by its Answer Bot. Answer Bot is a customer support chatbot designed to handle simple low-priority tickets, freeing up human employees to handle higher-priority, more complex tickets.

However, even for chatbots, Answer Bot can be a little rudimentary. It can suggest articles for customers to browse based on its available content library, but these suggestions might not be the most accurate response. More than anything, Answer Bot is a way to take a couple of tickets off of customer support staff’s hands.

If Zendesk’s own chatbot isn’t the perfect fit, the platform’s marketplace also boasts a number of partner integrations from developers like Ibenta, Certainly, Zowie, and Haptik.

Because of its native integration to popular customer support software like Zendesk, Answer Bot is the best fit for companies that already use Zendesk products and are looking to offload a few low-priority customer support tickets from human staff.

Tidio

One of the most enticing aspects of Tidio is its no-code development feature. With Tidio, users can create and train chatbots without the need of extensive coding knowledge. It accomplishes this through templates and a drag-and-drop builder tool, optimized for ease of use.

Once deployed, the chatbots can be programmed with prewritten answers to customer questions to ensure customers get the help they need more quickly.

For helping customers purchase products and services, Tidio can offer product recommendations and even provide prospective customers personalized discounts. If they’re interested, they can immediately place and order through the chatbot, as well.

Overall, Tidio is best for companies looking to develop custom AI without much coding expertise required.

Read More At: The Benefits of Artificial Intelligence

Qualified

Geared for businesses using Salesforce, Qualified’s chatbot, live chat, and conversational marketing platform is perfect for B2B marketing teams and brands looking to increase sales conversions through their website.

Through Qualified, multiple developers can program and code their chatbots at the same time, allowing client companies to create and deploy multiple chatbots simultaneously. These chatbots can provide 24/7 support and marketing. Interested customers can even schedule meetings with human staff through the chatbot.

When the time is right to move on from a chatbot to a human marketing team, the platform provides a smooth transition to screen-sharing and live chat between prospective customers and human employees.

The service isn’t entirely perfect, however. Its user interface (UI) can be a bit unwieldy to use at first, and its pricing model is fairly steep, with the lowest tier being $3,000 per month. This makes Qualified a better choice for midsize to enterprise-level organizations. It might be too expensive for smaller businesses.

Netomi

Another customer support-focused chatbot provider, Netomi’s platform provides natural language understanding (NLU) support to over 100 languages to help companies worldwide resolve customer inquiries more efficiently.

A key feature of Netomi’s chatbot is that it’s designed for scalability and unexpected activity spikes. This makes the platform excellent for organizations that are in the process of expanding or that might experience sudden spikes in customer support requests, such as a software company when it puts out a new update.

The platform’s real-time analytics and knowledge-base integration help make sure the chatbots are choosing the best possible response they can. On top of that, the bot can be deployed across multiple channels, including email, voice chat, and social media.

When it’s time to switch over to human interaction, Netomi’s integrations with platforms like Shopify, Salesforce, Zendesk, and Freshworks make the process easier than it might be otherwise.

Overall, Netomi is the best fit for an expanding business looking for scalable chatbot solutions.

IBM Watson Assistant

One of the titans in the world of AI, IBM’s Watson Assistant platform allows clients to build, develop, and deploy AI chatbots best-suited to their specific needs. The development process is designed for speedy deployment and ease of use, meaning that users will hopefully see faster returns on their investments.

By utilizing collected data from customer conversations, Watson Assistant chatbots can better learn how to resolve customer support tickets on the first try, making the customer support process less stressful and time-consuming for customers.

That said, Watson Assistant offers fewer integrations than some of its competitors, making it a less-optimal choice for those looking to holistically Improve their customer support infrastructure. It’s also priced more for enterprise-level clients, meaning that smaller businesses might want to look elsewhere.

Read More At: How to Train Your Chatbot to Be a Recruiting Machine

MobileMonkey

A sales outreach platform, MobileMonkey aims to provide affordable chatbots and sales automation solutions to startups and small businesses. Chatbot setup and implementation is easy to perform, and chat responses are customizable, ensuring that prospective customers are getting responses geared toward converting chats into sales.

While affordable, MobileMonkey’s integration offerings are a little shallow. Users can deploy chatbots to Facebook, Instagram, WhatsApp, email, website chat, and SMS, but users looking for other social media integrations should look elsewhere.

There is also a significant lack of native integration with other SaaS platforms, making it less than ideal for companies trying to sync up data gathered across multiple platforms and departments.

Overall, MobileMonkey is best for small businesses and startups with strong social media presences looking for a cheap AI chatbot solution to capitalize on that presence.

ManyChat

Built for Facebook Messenger, ManyChat allows organizations to more efficiently tap into that market of nearly 3 billion users, according to Statista. This simple chatbot can book appointments, sell products, update customers on their orders, and offer discounts or coupons among other functions.

ManyChat boasts a number of industry-specialized templates with which users can drag-and-drop to create chatbots with features and knowledge bases to suit their needs. Through this, businesses can launch new chatbots in a matter of minutes, with little to no coding required.

These bots can also be integrated with over 1,500 apps, including Shopify, Google Sheets, Zapier, and Stripe.

ManyChat is an excellent fit for companies looking to leverage Facebook Messenger to potentially boost sales and revenue.

Imperson

Using NLP, Imperson’s AI chatbots are designed to read and react to user intent in an attempt to create a more authentic customer experience than other chatbots. These bots can be deployed for a number of functions, such as customer service, marketing, lead generation, sales, and multiplatform engagement.

The firm’s dashboard analytics can also help businesses generate more value and customer engagement from their chatbots by helping companies figure out the best responses to generate sales.

Imperson is a great fit for enterprise-level organizations looking to boost customer engagement through AI chatbots.

Salesforce Einstein

Salesforce offers one of the best CRM platforms on the market, and one of the key reasons for this is the mind-boggling number of integrations available on the platform. Through integrations, businesses can connect a variety of disparate platforms across the entire organization.

One of these integrations is Salesforce’s own Einstein, an AI chatbot solution which can seamlessly work with the entirety of Salesforce’s product offerings. This chatbot can then leverage the data and knowledge base to become a top-flight solution for sales, marketing, commerce, human resources, and so much more.

The main drawback of the bot is that using it requires the Salesforce Service Cloud, meaning it’s not practical for organizations that use any other cloud service provider.

Inbenta

Inbenta’s AI chatbots utilize companies’ preexisting FAQs (frequently asked questions) and knowledge bases to offer customers a powerful 24/7 chat solution. Leveraging company knowledge bases allow Inbenta chatbots to more quickly provide customers with the answers and support they need.

The bots can be launched on company websites and social media alike and boasts a number of integrations, including Zendesk, Salesforce Desk, and Service Cloud. These integrations allow businesses to deploy chatbots as quickly as possible, without needing developers to spend months matching tags and writing answers to questions.

Overall, Inbenta is best for companies looking to link their established knowledge bases with an AI chatbot for 24/7 support.

Also see: The History of Artificial Intelligence 

Tue, 27 Sep 2022 19:50:00 -0500 en-US text/html https://www.eweek.com/big-data-and-analytics/ai-chatbots/
Killexams : API Integration Platforms Market Growth Holds Strong | Google, Microsoft, IBM, Oracle

The ‘ API Integration Platforms market’ research report added by Report Ocean, is an in-depth analysis of the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview, API Integration Platforms market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, API Integration Platforms market size forecast, market data & Graphs and Statistics, Tables, Bar & Pie Charts, and many more for business intelligence.

Global API Integration Platforms Market valued approximately USD XX million is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2020-2025.In-depth information by Market Size, competitive landscape is provided i.e. Revenue (Million USD) by Players, Revenue Market Share (%) by Players and further a qualitative analysis is made towards market concentration rate, product/service differences, new entrants and the technological trends in future.

Download Free trial Copy of ‘API Integration Platforms market’ Report @

https://reportocean.com/industry-verticals/sample-request?report_id=bis190228

Manufacturer Detail

  • Google
  • Microsoft
  • ‍IBM
  • Oracle
  • Improvado
  • Cloud Elements
  • Jitterbit
  • MuleSoft
  • Dell
  • Software AG
  • io.
  • Nevatech
  • Kong
  • Cyclr
  • ArcESB
  • SAP
  • Broadcom
  • Red Hat
  • Alibaba
  • Huawei

Product Type Segmentation

Industry Segmentation

  • BFSI
  • IT and Telecom
  • Government and Defense
  • Healthcare
  • Retail/Media and Entertainment/Manufacturing

Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan

Countries: Argentina,  Australia,  Austria,  Belgium,  Brazil,  Canada,  Chile,  China,  Colombia,  Czech Republic,  Denmark,  Egypt,  Finland,  France,  Germany,  Hong Kong,  India,  Indonesia,  Ireland,  Israel,  Italy,  Japan,  Malaysia,  Mexico,  Netherlands,  New Zealand,  Nigeria,  Norway,  Peru,  Philippines,  Poland,  Portugal,  Romania,  Russia,  Saudi Arabia,  Singapore,  South Africa,  South Korea,  Spain,  Sweden,  Switzerland,  Thailand,  Turkey,  UAE,  UK,  USA,  Venezuela,  Vietnam

Impact of COVID-19 on the Global Market

The research report compiled by Report Ocean offers the study of market opportunities and market impact that are created due to the COVID-19 pandemic. The detailed research report is focused upon all direct and indirect impact of COVID-19 with new product launches, pipeline analysis, supply chain overview, government regulations, strategies adopted by related market players and upcoming vaccines and drug status. Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.(*If you have any special requirements, please let us know and we will offer you the report as you want.)

 (Check Our Exclusive Offer: Ask for Discount to our Representative)

https://reportocean.com/industry-verticals/sample-request?report_id=bis190228

The Global API Integration Platforms Market report provides the meticulously studied and evaluated data of the top industry players and their scope in the market by means of several analytical tools. The analytical tools such as Porters five forces analysis, feasibility study, SWOT analysis, and ROI analysis have been practiced reviewing the growth of the key players operating in the market.

Ask Our Expert for Complete Report@:

https://reportocean.com/industry-verticals/sample-request?report_id=bis190228

Key Points Covered in API Integration Platforms Market Report: Study Explore COVID 19 Outbreak Impact Analysis
Executive Summary
Table of Contents
List of Figures
List of Tables
Introduction
Segmentation By Geography
API Integration Platforms Market Characteristics
Supply Chain And Key Participants

API Integration Platforms Market Size And Growth
Historic Market Growth, Value ($ Billion)
Drivers Of The Market
Restraints On The Market
Forecast Market Growth, Value ($ Billion)
API Integration Platforms Global Market PESTEL Analysis by Political, Economic, Social, Technological, Environmental, Legal
API Integration Platforms Customer Information
Brand Experience And Customer Support Influence Purchasing Decision
API Integration Platforms Market, Regional And Country Analysis
Global API Integration Platforms Market, , By Region, Value ($ Billion)

Global API Integration Platforms Manufacturing Market, Historic And Forecast, Segmentation

API Integration Platforms Market Overview
Region Information
Market Information
Background Information
Taxes Levied
Government Initiatives
Regulatory Bodies
Regulations
Associations
Investments
Competitive Landscape

Global API Integration Platforms Market Top Opportunities By Segment
Global API Integration Platforms Market Top Opportunities By Country
Global API Integration Platforms Market Strategies
Strategies based on market trends
Strategies Adopted By Leading Competitors
Appendix
Research Methodology
Currencies
Research Inquiries
Copyright and Disclaimer

……..and view more in complete table of Contents

Browse Premium Research Report with Tables and Figures at @ https://reportocean.com/industry-verticals/sample-request?report_id=bis190228

Thanks for memorizing this article,  you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

About Report Ocean:

We are the best market research reports provider in the industry. Report Ocean believe in providing the quality reports to clients to meet the top line and bottom line goals which will boost your market share in today’s competitive environment. Report Ocean is “one-stop solution” for individuals, organizations, and industries that are looking for innovative market research reports.

Get in Touch with Us:

Report Ocean

Email: [email protected]

Address: 500 N Michigan Ave, Suite 600, Chicago, IIIinois 60611 – UNITED STATES

Tel: +1 888 212 3539 (US – TOLL FREE)

Website: https://www.reportocean.com/

Blog: https://reportoceanblog.com/

Tue, 11 Oct 2022 02:24:00 -0500 Newsmantraa en-US text/html https://www.digitaljournal.com/pr/api-integration-platforms-market-growth-holds-strong-google-microsoft-ibm-oracle
Killexams : Is a Rochester legend about a wartime friendship and IBM accurate?

Dear Brainiac,

I have a question about why IBM chose to build an $8 million campus in 1956 in Rochester, which had a population of about 30,000 people. The late state lawmaker David Bishop wrote an article in 2011 that said it was the wartime friendship between the IBM CEO and a Rochester pilot that spurred Big Blue to choose the Med City over Madison, Wisconsin.

That sounds like a local legend. Is there proof that a friendship brought a major Fortune 500 company and thousands of jobs to Rochester?

Looking for Big Blue’s clues

Dear clueless,

I have heard many versions of the tale of why IBM chose Rochester. Personally, I think the version that Dave Bishop wrote is my favorite. It is a fantastic story of friendship transforming a community.

Unfortunately, it might not be completely accurate.

Here's the basic background. Thomas Watson, Jr., the son of IBM founder and future CEO, was a pilot in World War II. He flew missions with Leland (Lee) Fiegel of Rochester who was also a pilot. In 1942, they flew to Moscow for a secret mission, which later resulted in Fiegel being awarded the Distinguished Flying Cross medal for "meritorious achievement.”

IBM 1958 pb.jpg
The former IBM campus in Rochester, seen here in an aerial view in 1958, was designed by famed architect Eero Saarinen. (Contributed photo from the History Center of Olmsted County)

Post Bulletin file photo

I reached out to IBM to see if there was ever a recorded instance of Watson saying his connection to Fiegel drove the decision to build in Rochester.

“We have not been able to confirm this story. Yes, Thomas Watson, Jr. and Leland (Lee) Fiegel did fly on bomber missions during the war. And yes, Watson maintained a relationship with the Fiegel family following Lee’s death. However, we have not uncovered any corroboration to support the family’s assertion that Watson chose Rochester as an homage to his war buddy,” according to a response by IBM’s Lorie Luedke.

IBM historians went on to flesh out what is documented about the decision to build in Rochester.

“At the time of the announcement in 1956, the health and vibrancy of the city’s civic institutions were cited by IBM as the official reason. Decades later, in a 1989 speech at the Mayo Clinic, Watson, Jr. singled out the hospital as the chief reason,” wrote IBM’s archivist.

In that 1989 speech, Watson is quoted as saying, “When it became time to build an IBM plant out in that general area of the country, and nobody around the table had any particular idea where to go in that circle that included Lone Rock and some of your other interesting towns, I spoke up for the Mayo Clinic which accounts for the IBM plant being in that area today.”

A 1958 Post Bulletin article mentioned another reason: “Reporters were interested in why a Midwest site was chosen for this plant and how Rochester was picked. Watson explained that the company realized that it was awkward and dangerous for the customers of IBM to have its production concentrated in the East, so the executive plotted on a map the center of 12 Midwest states and swung a pencil in a radius 200 miles, which included Rochester, and then had an independent survey firm investigate about 80 cities for a possible site,” reads a Sept. 30, 1958 Post Bulletin article.

23cf851f573f1e1037639923b3c463e1.jpg
Interior. IBM Manufacturing and Administrative Center in Rochester. 1956-58.

Contributed

Later in the article, Watson explained, “We thought Rochester wanted an industry and it seemed the sort of place where our people could find more than the average intellectual challenge. We thought it was a very logical place to build a plant.”

Bishop’s account states that Fiegel, who was based in Washington, D.C., as a U.S. Army flight trainer, flew to New York in 1948 to meet with Watson. The return to Washington proved to be the last flight for Fiegel, who survived so many battles in World War II.

Fiegel’s plane crashed in Maryland killing him and two others. Newspaper articles in 1948 quote witnesses as saying an engine fell off the plane and it “disintegrated.”

The tragic death of his friend did come up when IBM announced the plans to build in Rochester. “Watson said that he was delighted his firm had decided on the site here (Rochester) because of his association with the Fiegel family,” reported a Sept. 27, 1958, Post Bulletin article.

The bottom line is that neither the archivists at IBM and Mayo Clinic nor the Rochester Public Library’s amazing reference librarian Susan Hansen or even the Answer Man's crack investigative team could find definitive proof that the Watson/Fiegel friendship brought IBM to Rochester.

It's still a good story.

Send questions to Answer Man at answerman@postbulletin.com .

Mon, 26 Sep 2022 01:14:00 -0500 en text/html https://www.postbulletin.com/news/local/is-a-rochester-legend-about-a-wartime-friendship-and-ibm-accurate
Killexams : RemSense Technologies marries virtualplant system with IBM’s asset management portal

RemSense Technologies Ltd (ASX:REM) has reached a new development milestone after integrating its virtualplant asset visualisation system with partner IBM’s Maximo Application Suite (MAS).

The technology company says the two-way integration allows users to access RemSense’s industry-leading digital twin solution alongside IBM’s asset management system.

Ultimately, this makes simultaneous asset management more efficient — users can rapidly comprehend assets from the MAS portal within RemSense’s visually accurate virtual environment.

Additionally, users can monitor MAS plant asset data directly within virtualplant’s photorealistic environment.

This provides valuable background and insight as companies supervise their assets remotely, helping them engage in predictive maintenance when it counts.

Where to from here?

It won’t be long until industry gets to see the integration in action. RemSense and IBM plan to make their debut at the upcoming WA Mining Conference and Exhibition in Perth.

The maiden demonstration will take place at IBM’s booth (#8132) this week on October 12 and 13.

The companies are also working with several prospective adopters in Australia’s mining capital.

‘One click’ access

RemSense managing director and CEO Steve Brown said the IBM integration allowed users from either side to get the best of both worlds.

“The benefits of this integration will enable virtualplant and MAS users to fully benefit from the visualisation of assets through a ‘one click’ access for companies and contractors, from anywhere at any time,” he explained.

“We are also delighted to be working with IBM to launch our joint corrosion inspection and reporting function based on virtualplant’s high-resolution curated dataset and IBM’s extensive experience in visual analytics.”

IBM ANZ’s business unit executive for sustainability software, David Small, said the company was really excited about the integration’s evolution.

“The visualisation of assets will provide immense value to our clients and creates a unique experience to navigate and analyse data in a human-centric environment,” he said.

Mon, 10 Oct 2022 12:20:00 -0500 en text/html https://www.proactiveinvestors.com.au/companies/news/994932/remsense-technologies-marries-virtualplant-system-with-ibm-s-asset-management-portal-994932.html
Killexams : BigBear.ai Names Former IBM Executive Mandy Long as Chief Executive Officer

Dr. Reggie Brothers Steps Down as CEO and Board Member, Remains Advisor to Company

COLUMBIA, Md., October 11, 2022--(BUSINESS WIRE)--BigBear.ai (NYSE: BBAI), a leader in AI-powered analytics and cyber engineering solutions, today announced that the Board of Directors has appointed former IBM executive Amanda "Mandy" Long as Chief Executive Officer and member of the Board of Directors, effective October 12, 2022. Dr. Reggie Brothers will step down as Chief Executive Officer and from the Board of Directors, transitioning to serve as a Company advisor and Operating Partner at AE Industrial Partners.

Long joins BigBear.ai with 15 years of experience in software and hardware across multiple industries, most recently as an executive at IBM, where she successfully led organizations to launch multiple first-of-their-kind products and made significant contributions to the rapid growth of the IBM Watson artificial intelligence (AI) franchise. During her tenure at IBM, Long had full P&L responsibility for several large and complex global businesses, developing strategies to drive customer adoption of AI and other automation solutions. Long also played a key leadership role in IBM’s organizational transformation, leading the integration and optimization of new business lines for acquired assets, and introducing scalable operational processes, diverse talent curation and retention strategies, and pipeline management strategies.

"Mandy has an impressive record of building global technology portfolios and driving revenue growth and adoption of AI products. She has extensive M&A experience, deep software product experience in regulated and unregulated industries, and has implemented innovative and collaborative workplace environments at scale. With Mandy at the helm, we expect to accelerate BigBear.ai’s ability to bring AI-based products to both Commercial and Federal markets as the Company transitions from a premier services and solutions provider to a technology-led, multi-market leader in AI," said Peter Cannito, Chairman of the BigBear.ai Board of Directors.

Cannito continued, "Reggie has been instrumental in creating the BigBear.ai vision of putting the power of AI into the hands of decision makers to Improve visibility, predictability, and outcomes for critical missions. We are grateful for his leadership in establishing BigBear.ai as a public company, building an experienced and resilient team, and bringing the Company to this point in its lifecycle."

"I am honored to be named CEO of BigBear.ai, a dynamic company whose technology and expertise is trusted to solve so many critical challenges for our customers – from protecting our nation to helping hospitals deliver the right care at the right time to children who need it most," said Long. "The opportunity to support the Company in productizing our unique technology assets, scaling into a market leader, and capitalizing on the rapidly growing demand for AI /ML solutions in every sector is a dream come true."

Executive Bio

Mandy Long previously served as Vice President, IBM IT Automation and Vice President, IBM Integration & Application Platform. Prior to that, she served as General Manager, IBM Watson Health Provider Analytics, as well as Chief Product and Strategy Officer, Artificial Intelligence for IBM Watson. She also previously held Vice President of Product Management positions at Modernizing Medicine and Experian Health. Mandy has received multiple awards and recognition for her accomplishments in the fields of Healthcare IT, including as one of the Most Powerful Women in Healthcare IT from Health Data Management in 2017. She earned a B.A. in Economics from Connecticut College.

About BigBear.ai

BigBear.ai delivers AI-powered analytics and cyber engineering solutions to support mission-critical operations and decision-making in complex, real-world environments. BigBear.ai’s customers, which include the US Intelligence Community and Department of Defense, as well as customers in manufacturing, healthcare, commercial space, and other sectors, rely on BigBear.ai’s solutions to see and shape their world through reliable, predictive insights and goal-oriented advice. Headquartered in Columbia, Maryland, BigBear.ai is a global, public company traded on the NYSE under the symbol BBAI. For more information, please visit: https://bigbear.ai/ and follow BigBear.ai on Twitter: @BigBearai.

View source version on businesswire.com: https://www.businesswire.com/news/home/20221011006085/en/

Contacts

Tyler Sigmon
BigBear.ai
443-430-2622
Tyler.Sigmon@bigbear.ai

Reevemark
Paul Caminiti/Delia Cannan/Pam Greene
212-433-4600
bigbear.ai@reevemark.com
OR
investors@bigbear.ai

Tue, 11 Oct 2022 09:06:00 -0500 en-US text/html https://www.yahoo.com/entertainment/bigbear-ai-names-former-ibm-203000579.html
Killexams : Big Data Integration Platform Market Hitting New Highs By 2028 | IBM, SnapLogic, Azure Data Factory (ADF)

The Big Data Integration Platform Market Report offers in-depth market information as well as incisive insights on market size, development, predictions, and other topics. It also offers current industry data on current market conditions as well as an industry perspective for forecasts up to 2022. For the benefit of executives, marketing, and sales, we offer resources. Additionally, well-organised tables and graphs are available for product managers, consultants, analysts, and others seeking critical industry data in a single, easily accessible document.

The Big Data Integration Platform Market (2022-2029) Survey Report is an expert analysis of the situation of the international market at the moment. The research report further divides the global Big Data Integration Platform Market into key competitors / brands, geographical areas, product categories, and end users. Additionally covered in this study are the potential and challenges, sales channels, distributors, market share, growth rates, and competitive conditions of the global market.

Download Free trial Big Data Integration Platform Market report
https://www.infinitybusinessinsights.com/request_sample.php?id=957416&mode=SR03

The worldwide Big Data Integration Platform Market is expected to grow at a booming CAGR of 2022-2030, rising from USD billion in 2021 to USD billion in 2028. It also shows the importance of the Big Data Integration Platform Market main players in the sector, including their business overviews, financial summaries, and SWOT assessments.

Top key players: IBM, SnapLogic, Azure Data Factory (ADF), Apache NiFi, Talend, Information Builders, Data Virtuality, Apache Sqoop, Denodo, Apache Gobblin, HVR, Oracle & Others.

The report’s main focus is on providing companies in the industry with a strategic analysis of COVID-19’s impact. This data is used to determine the potential influence of the Big Data Integration Platform Market. The Porter Five Forces model is utilised in the study to evaluate market participants’ competitive environments. The research looks at sales, gross earnings, and average profit margins in each market segment.

This report segments the Big Data Integration Platform Market on the basis of Types:
Cloud Based
Web Based

On the basis of Application, the Big Data Integration Platform Market is segmented into:
Large Enterprises
SMEs

To offer Big Data Integration Platform Market projections and forecasts at the regional and national levels, these segments are thoroughly examined. The information, which includes predicted sales and revenue statistics, gross profit, and other data, is presented in various charts and infographics. This file breaks down market types by product and displays production, revenue, price, market share, and boom percentage.

An extensive overview of the market is provided by estimates for important market categories in the global Big Data Integration Platform Market. By watching important product positioning and keeping an eye on the leading competitors, thorough market research is carried out within the market framework. Each country’s opportunity analysis for the global is also included in the study.

Obtain Premium Research Report Details, Considering the impact of COVID-19 @
https://www.infinitybusinessinsights.com/request_sample.php?id=957416&mode=SR03

Sadly, the COVID-19 pandemic obliterated request, bringing about decreased measures of requests and less result among makers. The drop in assembling amounts adversely affected the organizations of various part producers and innovation suppliers. Accordingly, creation precariousness fundamentally affects the overall economy.

Regional Analysis:
The Americas (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
Latin America (Brazil, Argentina, Colombia, and Rest of South America)
Saudi Arabia, the United Arab Emirates, Egypt, South Africa, and the rest of the Middle East and Africa

The years examined in this study are the following to estimate the Big Data Integration Platform Market size:

History Year: 2015-2019
Base Year: 2021
Estimated Year: 2022
Forecast Year: 2022 to 2028

Reasons Why You Should Buy This Report:

1.To gain an in-depth understanding of Big Data Integration Platform Market
2.To obtain research-based business decisions and add weight to presentations and marketing strategies
3.To gain competitive knowledge of leading market players
4.It gives pin point investigation of changing rivalry elements and keeps you in front of contenders.

You can get some information about this research here
https://www.infinitybusinessinsights.com/enquiry_before_buying.php?id=957416&mode=SR03

The research illuminates many elements of the market and provides answers to the following questions::

1.Who are the major players in the Big Data Integration Platform Market on a worldwide scale? What is the state of their business?
2.What are the market opportunities and dangers for the worldwide Big Data Integration Platform Market?
3.Which application, end-user, or product category would be looking for additional growth opportunities?

Table of Contents:

1 Big Data Integration Platform Market Overview
2 Big Data Integration Platform Market Company Profiles
3 Market Competition, by Players
4 Big Data Integration Platform Market Size Segment by Type
5 Big Data Integration Platform Market Size Segment by Application
6 North America by Country, by Type, and by Application
7 Europe by Country, by Type, and by Application
8 Asia-Pacific by Region, by Type, and by Application
9 South America by Country, by Type, and by Application
10 Middle East & Africa by Country, by Type, and by Application
11 Research Findings and Conclusion
12 Appendix…

If you have any special requirements, please let us know and we will offer you the report as you want.

Contact Us:
473 Mundet Place, Hillside, New Jersey, United States, Zip 07205
International – +1 518 300 3575
Email: [email protected]
Website: https://www.infinitybusinessinsights.com

This Press Release has been written with the intention of providing accurate market information which will enable our readers to make informed strategic investment decisions. If you notice any problem with this content, please feel free to reach us on [email protected]

Mon, 19 Sep 2022 19:43:00 -0500 Xherald en-US text/html https://www.digitaljournal.com/pr/big-data-integration-platform-market-hitting-new-highs-by-2028-ibm-snaplogic-azure-data-factory-adf
C2180-273 exam dump and training guide direct download
Training Exams List