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Welcome to the AI Beat – my new column digging into some of the week’s artificial intelligence (AI) news and attempting to put it into context. 

When I asked Gartner analyst Sid Nag yesterday why this week’s AI-related cloud news released at Google Cloud Next and Microsoft Ignite seemed like a “tsunami” of product announcements, he chuckled. 

While neither of us had our cameras on for the interview, I could feel Nag, who focuses on cloud services and technologies, nodding sagely. “I think I know why that is,” he said. 

I certainly needed some expert guidance. After all, I’ve been on the AI beat at VentureBeat for six months now, but I have yet to fully adjust to the seasonal PR routines of Big Tech – in fact, this week’s barrage was of the sort that always reminds me of this comic from The Oatmeal

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There were announcements at Google Cloud Next ranging from its new Vertex AI Vision service, a computer vision-as-a-service capability, to a new AI Agents service and the open-source OpenXLA project. There were also additional incremental AI improvements announced at Next, including support for the Nvidia Merlin recommender system framework, AlphaFold batch inference and TabNet support. 

Next came a boatload of Azure AI news out of Microsoft Ignite bucketed around productivity, including prebuilt AI models available in Form Recognizer, expanded summarization and language support in Azure Cognitive Services, new features in speech-to-text and text-to-speech, and the debut of DALL-E 2 as part of Azure’s OpenAI Service, by invitation only. 

Using AI to make cloud an intelligent platform

The Big Tech cloud providers, Nag explained – Google, Microsoft and AWS are the top three, IBM and Oracle round out the top five – have gone past the era of commoditized infrastructure capabilities, such as compute storage and networking, with a new goal of making the entire infrastructure more intelligent and predictable. The new trend, he said, is applying AI to those infrastructure needs. 

“I think the pedestrian use of AI has become more pervasive, which is something I’ve been pushing for the past three or four years with the hyperscalers,” he said. 

Big Tech, he explained, wants to use AI effectively up and down the cloud stack to make the cloud an intelligent platform, as well as applying a layer that democratizes AI and brings it to the business user. 

Lots of ingredients, but no clear recipe

The problem with so many cloud announcements about AI-related capabilities, however, is that Big Tech isn’t properly communicating how to combine those capabilities intelligently, Nag pointed out. 

“If I want to cook chicken parmesan,” he explained, “which ingredients do I need and what proportion of those ingredients? What’s the recipe I should be using? I think there’s a lot of things being announced by cloud providers, but they should really up-level the game as to how you can use those things intelligently to drive outcomes.” 

Fear of falling behind in a multicloud era

The Big Tech AI announcements coming so close together – Oracle is on deck for next week at Cloud World, teasing AI news with Nvidia – is no accident, Nag said. 

“Nobody wants to fall behind,” he said. “Historically, Google has been ahead of the game in the AI business; it’s almost like Microsoft and others are feeling the heat.” 

In an era of multicloud – where an organization uses a combination of clouds to distribute various applications and services – the battle for customers looking to employ sophisticated AI systems has become fiercer than ever. 

“[Multicloud] is the biggest use case we see today,” said Nag. Historically, workloads and applications moving to the cloud were the low-hanging fruit of things like email applications, Office 365, CRM or ERP. Now, however, organizations are moving heavy-duty, complex applications to the cloud. 

“They’re moving the core crown jewels,” he explained. “For example, if I’m a hedge fund in downtown Manhattan and I have a specialized application written to do algorithmic trading, that’s what I depend on to layer up on my competition because executing trades in nanoseconds matters.” 

A cloud AI war for best-in-class

As that starts to happen, CIOs and IT leaders look for best-in-class components to service that workload – so in addition to a primary cloud vendor, an organization might bring on a secondary or tertiary provider. 

“It’s not that the primary vendor doesn’t have the other componentry, but they may or may not be best in class,” he said, adding that once the secondary vendor gets a foot in the company’s door, it might look to expand its services. 

With companies worldwide expected to spend an estimated $494.7 billion on cloud computing this year, according to Gartner, up 20% from 2021, and spending predicted to reach $600 billion by the end of 2023, there’s a lot of potential money at stake. And Nag told the Wall Street Journal [subscription required] in April that it’s the “willingness of CIOs to purchase higher-valued features that is fueling public cloud spending growth.” 

Rohit Kulkarni, an analyst at MKM, weighed in on this course in a research note last week [subscription required]. He said he is “convinced that we are on the cusp of accelerating Big Tech AI wars,” though it is unclear who holds the early edge when it comes to commercial success. 

But he said that he is certain about one thing: “Commercial rollout of AI apps requires significant storage and computing resources, thus public cloud vendors could benefit from a strong usage tailwind over the next several years.”

Hmm … I wonder why I’m suddenly craving chicken parmesan?

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Fri, 14 Oct 2022 12:32:00 -0500 Sharon Goldman en-US text/html https://venturebeat.com/ai/the-ai-beat-big-tech-cloud-ai-wars-heat-up/
Killexams : How To Invest In Artificial Intelligence

Key takeaways

  • Tesla AI Day came and went, they delivered on the humanoid robot prototype announced last year and poised to hit the market long before the decade’s end.
  • Companies like Amazon are built around the power of artificial intelligence, with every aspect of the business using AI, from customer recommendations to their highly profitable cloud-based services.
  • AI is changing every industry, from health care to education to investing, so here’s a list of possible AI investments.

We absolutely can’t ignore that artificial intelligence is changing the way we do everything in every industry, from the possibility of self-driving cars to social media algorithms showing you customized content. You may have heard of some of AI's advances in text or image generation. You may have even heard about AI being used in health care, as the World Economic Forum just announced how AI could detect tuberculosis.

The hope is that machines will eventually replicate human intelligence without the need for human input or interference. This space is growing rapidly, and it seems likely that every industry will be impacted by it. Many major companies have invested heavily in AI, and it feels like if you don’t take it seriously, you could be left behind.

What’s happening with AI?

Basic forms of AI are currently being used across many industries. Colleges are using AI for admissions and financial aid decisions. E-commerce platforms use AI to help make product recommendations. Many businesses are using AI for fraud detection and budgetary oversights.

AI is now allowing computers to make decisions that historically required human beings. Issues are resolved within a company without humans ever interacting. AI is being used to solve complex problems, automating new tasks and business functions, minimizing errors, leading research and data analysis, and even - ahem - enhancing customer service.

According to findings from the Brookings Institute, the U.S. is significantly behind in AI developments compared to China, and the federal market for AI is still in its early stages.

How wide ranging is artificial intelligence?

AI covers everything from search engine algorithms to robotics and self-driving cars. There’s enormous potential for AI to Excellerate the health care industry. AI can help schedule staff, detect patient risks, and even discover patient conditions. Patient risk predictors can expedite the work of front-line staff and Excellerate the flow of hospitals. There’s even the possibility of using AI to create a robot taxi service, already in process at Tesla.

According to Zion Market Research, the global AI industry should grow to $422.37 billion by 2028. This would be up from $59.67 billion in 2021.

It’s worth noting that many tech giants sell AI analytical services to business clients, from cloud computing to software tools.

Leading companies in different fields of AI.

With so much emphasis on the future of AI, here are some leading companies utilizing this new technology.

Alphabet Inc.

Alphabet, the parent company of Google, is one of the leaders in AI research. We’ve all experienced the power of Google’s AI technology, from the accuracy of our daily searches to the often-incredible precision with which they organize our photos for us.

Google’s use of AI could fill a book, but suffice to say, it’s becoming more ubiquitous across their platforms. Google Assistant is an AI-powered voice assistant. Google Maps uses AI-powered updates to give you a live view of where you’re going and autocorrecting for traffic changes along the way.

Alphabet also owns a company that uses AI for drug discovery, DeepMind, whose scientists were just awarded a $3 million prize for creating an AI system that predicts how almost every protein folds into its 3D shape. Researchers at DeepMind also recently taught digital humanoids how to play soccer from scratch. The team is investigating whether these AI training strategies can work beyond soccer.

Nvidia Corporation

This high-end chip maker is responsible for powering AI applications. The company offers AI solutions to various industries, ranging from health care to higher education. Nvidia offers solutions for speech recognition, medical imaging, gaming, and improving supply chain management.

While the company has suffered in 2022 with crypto mining changes (like the Ethereum merge) causing the GPU market to drop, analysts are now back to supporting Nvidia since the company announced new products, such as the Omniverse Cloud Services for industrial Metaverse applications.

Amazon

It’s pretty astonishing how deeply integrated AI technology is throughout Amazon’s entire company. Amazon uses AI to customize the products that customers see and recommend. They also use AI at certain fulfillment centers, with small robots used to ferry packages around the warehouse to their human workers. Then there are many Amazon Fresh and Amazon Go stores that use the Just Walk Out payment system.

So, AI plays a role in most parts of its business, from targeting advertisements to the Amazon Web Services platform. Alexa is also in many households around the country, and AWS cloud customers have access to many AI tools.

Lemonade

Lemonade is the first insurance company to be fully powered by AI. The company uses an AI-powered bot, Maya, to handle everything for you, from finding a quote to handling claims. You can go through the website to see how efficient AI is when it comes to insurance.

The company offers insurance products for the following sectors: homeowners, renters, pets, life, and auto insurance. Lemonade has turned the insurance industry upside down by relying on AI for handling claims. If you were to claim property insurance, you wouldn’t have to worry about calling an insurance agent and being stuck on the line. You can handle everything online with Maya.

Tesla

We can’t forget a company that has a dedicated annual AI Day. With a humanoid robot, self-driving cars, and the possibility of a robot taxi service envisioned as a mix of Airbnb and Uber, Tesla’s always working on innovations when it comes to AI. One can only imagine what the peak of AI’s technological advancement will look like when hearing about Tesla’s projects.. One of the main purposes of Tesla’s AI Day is to recruit the best talent in AI, as the company is investing heavily in this field.

These companies are worth looking into as an investment if you’re looking to purchase shares in the AI industry. We have you covered in the next section if you want some additional stock choices.

The best AI stocks to consider right now

Here are some AI stocks worth looking into long-term as the stock market continues to tumble.

Meta Platforms Inc. (META)

Chances are that you’ve seen how Meta uses AI in its news feeds and algorithms for ads on Facebook. That’s just scratching the surface regarding what Meta’s working on involving AI. The company owns the Meta AI lab that recently announced they’re trying to use AI to decode speech from brain activity from those who’ve suffered traumatic brain injuries. The research has yet to be peer-reviewed and is still in its early stages, but it goes to show the ambition Meta has for the future of AI technology. While it often feels like Meta can read your mind, it would truly be something else if they could literally read your brainwaves.

C3.ai (AI)

C3.ai is involved in enterprise AI, which offers done-for-you and customized AI applications to clients looking to go all digital and get their companies on the cloud. These AI algorithms can help with operations, reducing costs, detecting fraud, and even employee safety.

The company hasn’t reported a profit yet because expansion investments are still being made.

Salesforce (CRM)

Salesforce is a cloud-based customer relationship management platform that uses connected apps to bring companies and customers together. The company also offers AI-based information for sales, marketing, and service teams across all industries. The cloud-based software helps companies track customer analytics along with sales and spending. Salesforce Einstein is the official AI technology used in the customer success platform.

Other AI stocks worth investing in:

  • Adobe (ADBE) Creative Cloud products now all use Adobe's AI platform, Sensei.
  • International Business Machines Corp. (IBM) just announced that research is being done on how to train a customer service robot to sound more human.
  • Workday, Inc. (WDAY) is a cloud-based application provider focused on human resources.

We just scratched the surface here when it comes to investing in AI. Many companies specialize in AI, and many organizations are implementing AI-based technology. There is a lot of debate in technical circles about what actually qualifies as AI versus exceptional algorithms and machine learning, all impressive work but real AI is built around neural networks. You can expect more from us on this course in the future.

How Q.ai uses artificial intelligence

If you’re looking to see the power of AI in action, you must learn more about Q.ai, our company is built to leverage artificial intelligence to offer investment strategies. Q.ai utilizes artificial intelligence in three key ways to help investors:

  1. Creating investment kits, which is to say selecting stocks, ETFs, etc. The power of AI is used assess every investment every week and to bundle them into kits that users can use to invest in key market sectors like Precious Metals, Tech Rally, Value Vault and Short Squeeze.
  2. Weighting the assets in each Investment Kit in order to manage downside risk within each sector.
  3. Portfolio Protection is a feature that uses AI predictions to forecast possible risks to adjust portfolio allocations.

If you’re hoping to make money in the AI space, you can invest in one of our Kits. AI-powered Investment Kits take the guesswork out of investing. Our artificial intelligence scours the markets for the best investments for all manners of risk tolerances and financial situations. Each asset is assessed on its technical merit, growth potential, momentum volatility and market sentiment data from news sources, search data, proprietary sources and more. .

Download Q.ai today for access to AI-powered investment strategies. When you deposit $100, we’ll add an additional $100 to your account.

Wed, 05 Oct 2022 12:26:00 -0500 Q.ai - Powering a Personal Wealth Movement en text/html https://www.forbes.com/sites/qai/2022/10/05/how-to-invest-in-artificial-intelligence/
Killexams : Here’s why IBM feels hybrid cloud is key to unlocking digital transformation opportunities No result found, try new keyword!The effectiveness of digital transformation is hampered by security, skills, and compliance issues, according to global business leaders. Mon, 03 Oct 2022 12:00:00 -0500 https://techwireasia.com/2022/10/heres-why-ibm-feels-hybrid-cloud-is-key-to-unlocking-digital-transformation-opportunities/ Killexams : The Cost-effectiveness and Increasing adoption of Hybrid No result found, try new keyword!Based on deployment, the cloud infrastructure service market is divided into public cloud, private cloud, and hybrid cloud. The public cloud segment grabbed the major market share and dominated the ... Thu, 13 Oct 2022 04:52:00 -0500 en-US text/html https://www.tmcnet.com/usubmit/-cost-effectiveness-increasing-adoption-hybrid-cloud-service-expected-/2022/10/13/9692368.htm Killexams : IBM t.end?(n=t.end,r=t.start):(n=t.start,r=t.end),o.moveToElementText(e),o.moveStart("character",n),o.setEndPoint("EndToStart",o),o.moveEnd("character",r-n),o.select()}function s(e,t){if(window.getSelection){var n=window.getSelection(),r=e[c()].length,o=Math.min(t.start,r),a=void 0===t.end?o:Math.min(t.end,r);if(!n.extend&&o>a){var i=a;a=o,o=i}var s=u(e,o),l=u(e,a);if(s&&l){var p=document.createRange();p.setStart(s.node,s.offset),n.removeAllRanges(),o>a?(n.addRange(p),n.extend(l.node,l.offset)):(p.setEnd(l.node,l.offset),n.addRange(p))}}}var l=n(4),u=n(173),c=n(68),p=l.canUseDOM&&"selection"in document&&!("getSelection"in window),d={getOffsets:p?o:a,setOffsets:p?i:s};e.exports=d},function(e,t,n){"use strict";function r(e){for(;e&&e.firstChild;)e=e.firstChild;return e}function o(e){for(;e;){if(e.nextSibling)return e.nextSibling;e=e.parentNode}}function a(e,t){for(var n=r(e),a=0,i=0;n;){if(3===n.nodeType){if(i=a+n.textContent.length,a=t)return{node:n,offset:t-a};a=i}n=r(o(n))}}e.exports=a},function(e,t,n){"use strict";function r(e){if("selectionStart"in e&&l.hasSelectionCapabilities(e))return{start:e.selectionStart,end:e.selectionEnd};if(window.getSelection){var t=window.getSelection();return{anchorNode:t.anchorNode,anchorOffset:t.anchorOffset,focusNode:t.focusNode,focusOffset:t.focusOffset}}if(document.selection){var n=document.selection.createRange();return{parentElement:n.parentElement(),text:n.text,top:n.boundingTop,left:n.boundingLeft}}}function o(e,t){if(_||null==v||v!==c())return null;var n=r(v);if(!y||!f(y,n)){y=n;var o=u.getPooled(g.select,b,e,t);return o.type="select",o.target=v,i.accumulateTwoPhaseDispatches(o),o}return null}var a=n(10),i=n(23),s=n(4),l=n(90),u=n(14),c=n(91),p=n(69),d=n(13),f=n(87),m=a.topLevelTypes,h=s.canUseDOM&&"documentMode"in document&&document.documentMode","

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Thu, 29 Sep 2022 03:52:00 -0500 en-GB text/html https://www.bbc.com/news/topics/c77jz3mdqwpt/ibm
Killexams : Biden Says IBM Investment to Help in Tech Competition With China

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POUGHKEEPSIE, N.Y. — President Joe Biden predicted Oct. 6 a $20 billion investment by IBM in New York’s Hudson River Valley will help give the United States a technological edge against China, hailing the expansion during an appearance with two House Democrats in competitive races in next month’s critical elections.

The president cited IBM’s commitment as part of a larger manufacturing boom, spurred by this summer’s passage of a $280 billion measure intended to boost the semiconductor industry and scientific research. That legislation was needed for national and economic security, Biden said in Poughkeepsie, adding that “the Chinese Communist Party actively lobbied against” it.

“The United States has to lead the world of producing these advanced chips — this law is going to make sure that it will,” Biden said.

The speech was part of a whirlwind trip that focused heavily on campaigning and included two fundraising events. During one, he warned that Russian President Vladimir Putin’s threat about using nuclear weapons as his Ukrainian invasion has floundered is the most severe “threat of Armageddon” since Cuban Missile Crisis in 1962.

Democratic candidates have largely avoided election-year appearances with Biden, whose approval ratings remain underwater. Bucking that trend in New York were Reps. Sean Patrick Maloney and Pat Ryan, who attended the president’s remarks at IBM.

Micron plant

(Jeremy Erickson/Bloomberg News)

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The lawmakers, along with Democratic Gov. Kathy Hochul, greeted Biden upon his arrival at Stewart Air National Guard Base.

“When I heard @POTUS was looking to see the benefits of the CHIPS & Science Act first-hand, I told him that the Hudson Valley was the perfect place,” Maloney wrote Oct. 5 on Twitter. “I’m thrilled to host him in Poughkeepsie this week to celebrate the major wins and good-paying jobs we are delivering here in NY.”

The CHIPS and Science Act, which Biden signed in August, was a rare bill for which the president was able to win bipartisan support.

IBM’s $20 billion investment over the next decade is intended to bolster research and development and the manufacture of semiconductors, mainframe technology, artificial intelligence and quantum computing.

“As we tackle large-scale technological challenges in climate, energy, transportation and more, we must continue to invest in innovation and discovery — because advanced technologies are key to solving these problems and driving economic prosperity, including better jobs, for millions of Americans,” said Arvind Krishna, IBM’s chairman and CEO.

IBM’s commitment comes on the heels of chipmaker Micron announcing this week an investment of up to $100 billion over the next 20-plus years to build a plant in upstate New York that could create 9,000 factory jobs. In his remarks, Biden also celebrated Intel’s plant groundbreaking in Ohio and an investment by WolfSpeed for chip production in North Carolina.

— Associated Press writers Michelle L. Price in New York City and Michael Catalini in Trenton, N.J., contributed to this report.

Fri, 07 Oct 2022 02:30:00 -0500 en text/html https://www.ttnews.com/articles/biden-says-ibm-investment-help-tech-competition-china
Killexams : Business-to-Business eCommerce Market Industry Analysis 2022 To 2028 based on Sales, Revenue, Size, and Share.

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

Oct 15, 2022 (Reportmines via Comtex) -- Pre and Post Covid is covered and Report Customization is available.

The Report Mines study on "Business-to-Business eCommerce Market" offers a value chain analysis of the revenue for the forecast period from 2022 to 2028. The study will offer a thorough and comprehensive analysis of the business operations of all the market leaders in this sector as well as their thorough research and history of market development and information about their rivals, including Oracle,IBM,Amazon,Alibaba,Hybris,Axway,Netalogue,Phoenix Biz Solutions,Techdinamics.

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

The study on Business-to-Business eCommerce analyses the industry's growth patterns using historical data and projects future growth based on in-depth research reports. The market revenue, market share, growth, trends, and forecasts for the years 2022 to 2028 are the main subjects of the research. The research provides information on market segments. The market is divided into Buyer-oriented E-commerce,Supplier-oriented E-commerce,Intermediary-oriented E-commerce segments based on type. The market is divided into Network as a Service (NaaS),Data as a Service (Daas),Storage as a Service (STaas),Back-end as a Service (BaaS) categories according to application. Geographic segmentation - 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 assists Business-to-Business eCommerce market in concentrating their marketing efforts particularly on their identified area of interest, preventing ineffective expenditure. There are 147 pages in the report.

Get sample PDF of Business-to-Business eCommerce Market Analysis https://www.reportmines.com/enquiry/request-sample/254748

Market Segmentation

The worldwide Business-to-Business eCommerce Market is categorized on Component, Deployment, Application, and Region.

In terms of Components, the Business-to-Business eCommerce Market is segmented into:

  • Oracle
  • IBM
  • Amazon
  • Alibaba
  • Hybris
  • Axway
  • Netalogue
  • Phoenix Biz Solutions
  • Techdinamics

The Business-to-Business eCommerce Market Analysis by types is segmented into:

  • Buyer-oriented E-commerce
  • Supplier-oriented E-commerce
  • Intermediary-oriented E-commerce

The Business-to-Business eCommerce Market Industry Research by Application is segmented into:

  • Network as a Service (NaaS)
  • Data as a Service (Daas)
  • Storage as a Service (STaas)
  • Back-end as a Service (BaaS)

In terms of Region, the Business-to-Business eCommerce 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 Purchasing This Report - https://www.reportmines.com/enquiry/pre-order-enquiry/254748

Key Benefits for Industry Participants & Stakeholders

  • The Business-to-Business eCommerce Market Research gives you comprehensive research information on the Business-to-Business eCommerce and industry trends. The study provides information on investment possibilities, including those that are regional and industry-specific and that can be advantageous to industry participants and stakeholders.
  • By examining pricing and the actions of producers and customers, you will also discover a detailed understanding of market dynamics.
  • Your capacity to make judgments and design an effective counter plan to maximise market advantage will be improved with the aid of market research, which will help you find and visualise new industry players as well as their portfolios.

The Business-to-Business eCommerce 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 sample of TOC https://www.reportmines.com/toc/254748#tableofcontents

Highlights of The Business-to-Business eCommerce Market Report

The Business-to-Business eCommerce Market Industry Research Report contains:

  • The research takes into account variables that affect the market's supply and demand for the Business-to-Business eCommerce.
  • It completes a full study of the trends in the worldwide market, basing its estimations on recurring reports and CAGR estimates. The first step in doing market research is to precisely identify your company's goals.
  • It is a thorough analysis of the ways in which new macrotechnology trends are assisting the market for Business-to-Business eCommerce.
  • We may investigate important elements of a free enterprise system, such as economic freedom, competition, equality of opportunity, and profit motivation, with the use of the Business-to-Business eCommerce Market Analysis report.

Purchase this report - https://www.reportmines.com/purchase/254748 (Price 3160 USD for a Single-User License)

COVID 19 Impact Analysis

The impact of the coronavirus is covered in full in the Business-to-Business eCommerce Market Research Reports, along with the key market trends. Insights, analyses, projections, and predictions are provided in the report research when taking the COVID-19's effect on the industry into account.

It is clear that the present slump differs fundamentally from recessions given the scope of the pandemic's disruption. The business environment will change as a result of the abrupt decline in demand and rising unemployment. Businesses may forge new paths in this unsettling climate by adopting new ideas like "move towards localization, cash conservation, supply chain resilience, and innovation."

Get Covid-19 Impact Analysis for Business-to-Business eCommerce Market research report https://www.reportmines.com/enquiry/request-covid19/254748

Business-to-Business eCommerce Market Size and Industry Challenges

  • According to Business-to-Business eCommerce market research, the industry's primary problem continues to be the discrepancy between supply and demand. According on type and application, the study includes marketplaces from important nations. The study on Business-to-Business eCommerce market research details the difficulties the market has had in adjusting to technological advancements.
  • Heavy machinery and equipment imports, which are essential to our manufacturing and other industries, have been declining.
  • Because due to COVID-19, the industrial issue has gotten worse.

Reasons to Purchase the Business-to-Business eCommerce Market Report

  • It aids in understanding the market's potential worth for Business-to-Business eCommerce.
  • It offers business strategies with the existing growth prospects while offering an insightful view of the Business-to-Business eCommerce market.
  • The whole competitive landscape is described in Oracle,IBM,Amazon,Alibaba,Hybris,Axway,Netalogue,Phoenix Biz Solutions,Techdinamics.
  • The Business-to-Business eCommerce market research offers a thorough comprehension of each associated activity.

Purchase this report - https://www.reportmines.com/purchase/254748 (Price 3160 USD for a Single-User License)

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Fri, 14 Oct 2022 18:01:00 -0500 en-US text/html https://www.marketwatch.com/press-release/business-to-business-ecommerce-market-industry-analysis-2022-to-2028-based-on-sales-revenue-size-and-share-2022-10-15
Killexams : Network Simulation Software Market Global Outlook, and Forecast 2022 To 2030| MIL3, IBM, Cisco

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

Oct 04, 2022 (Heraldkeepers) -- The competitive environment in the Network Simulation Software Market offers nuances by rival. The intricacies discussed include organisation structure, finances, revenue, market potential, interest in creative work, new market demands, territorial presence, organisational strengths and weaknesses, item dispatch, item width and expansiveness, and application space. The organization’s market centre is directly tied to each of the informational subjects mentioned above.

The report offers in-depth details on the Network Simulation Software Market motivating forces. The analysis goes into great detail about elements that affect the global market’s growth as well as exact innovations. The market’s current limitations, which are impeding development, and their potential effects are also examined in this article. The research also examines the effects of rising consumer interest and global economic expansion.

Request To sample of This Strategic Report

The COVID-19 pandemic has significantly impacted the worldwide Network Simulation Software Market and its operations. Due to the COVID-19 sickness, people are being compelled to spend more time at home, which is resulting in a decline in the global market.

Latin America, APAC, Europe, North America, and MEA are the regional market sectors.This industry would likewise benefit from broad-scale coordination of cutting-edge advances by huge corporations. Possibly the most common strategy employed by market players in the establishment of organisations.

Network Simulation Software Market Segmentation & Coverage:

Network Simulation Software Market segment by Type: 
On-premise
Cloud-based

Network Simulation Software Market segment by Application: 
Individual
Enterprise
Others

The competitive landscape of the market has been studied in the report with the detailed profiles of the key players. Some of these players include:

MIL3, IBM, Cisco, GL Communication, DiJiTized Communications, Tetcos, Gladiator Innovations, Nabto, Gambit Communications, RSoft Design Group

To Understand How Covid-19 Impact Is Covered In This Network Simulation Software Market Report – Request Sample

Reasons to Buy this Report:

Provision of industry value (USD Billion) data for each sub-segment and segment
Analysis by geography highlights the consumption of the product/service in the region and indicates the factors affecting the market within each region.
Quantitative & qualitative analysis of the market based on segmentation involving both non-economic and economic factors
The future as well as the current market outlook of the industry concerning exact developments (which includes growth opportunities and drivers and challenges & restraints of both emerging as well as developed regions
Comprehensive firm profiles, including company overview, company insights, product benchmarking, and SWOT analysis for the major market players

Main Points from Table of Contents:

Chapter 2. Executive Summary
Chapter 3. Industry Outlook
3.1. Network Simulation Software Market segmentation
3.2. Network Simulation Software Market size and growth prospects, 2015 - 2026
3.3. Network Simulation Software Market Value Chain Analysis
3.3.1. Vendor landscape
3.4. Regulatory Framework
3.5. Market Dynamics
3.5.1. Market Driver Analysis
3.5.2. Market Restraint Analysis
3.6. Porter's Analysis
3.6.1. Threat of New Entrants
3.6.2. Bargaining Power of Buyers
3.6.3. Bargaining Power of Buyers
3.6.4. Threat of Substitutes
3.6.5. Internal Rivalry
3.7. PESTEL Analysis
Chapter 4. Network Simulation Software Market Product Outlook
Chapter 5. Network Simulation Software Market Application Outlook
Chapter 6. Network Simulation Software Market Geography Outlook
6.1. Network Simulation Software Industry Share, by Geography, 2022 & 2030
6.2. North America
6.2.1. Network Simulation Software Market 2022 -2030 estimates and forecast, by product
6.2.2. Network Simulation Software Market 2022 -2030, estimates and forecast, by application
6.2.3. The U.S.
6.2.4. Canada
6.3. Europe
6.3.3. Germany
6.3.4. the UK
6.3.5. France
Chapter 7. Competitive Landscape
Chapter 8. Appendix

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The post Network Simulation Software Market Global Outlook, and Forecast 2022 To 2030| MIL3, IBM, Cisco appeared first on Herald Keeper.

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Mon, 03 Oct 2022 14:23:00 -0500 en-US text/html https://www.marketwatch.com/press-release/network-simulation-software-market-global-outlook-and-forecast-2022-to-2030-mil3-ibm-cisco-2022-10-04
Killexams : Cloud Migration Services Market Size to Reach Valuation of $340.7 Bn by 2028 | AWS, IBM, and Microsoft top Providers | Vantage Market Research

Vantage Market Research, The North Star for the Working World

WASHINGTON, Oct. 12, 2022 (GLOBE NEWSWIRE) -- Global cloud migration services market touched valuation of USD 92.4 Billion in 2021 and is projected to generate revenue of USD 340.7 Billion by 2028 at a CAGR of 24.30% during the forecast period, 2022–2028.

As businesses continue to grow larger and more complex, the need for an easier way to move their data and applications to the cloud becomes more apparent. Cloud migration services market is becoming a popular way to meet this need. The services offered by cloud migration providers can help companies move their data, applications, and servers to different cloud platforms, including Amazon Web Services, Google Cloud Platform, Microsoft Azure, and IBM BlueMix.

Some of these providers also offer managed migration services that include everything from data prepping and analysis to creating cloud-ready environments. This enables companies to focus on their business goals rather than spending time figuring out how to migrate their data. The demand for cloud migration services market is likely to increase as businesses become increasingly interested in moving their data to the cloud in order to decrease costs and Excellerate flexibility.

In addition to offering reliable cloud migration services, many professional cloud migration companies also offer other IT consulting services. This includes advice on how best to use the various features of the cloud, as well as help with implementing new technology in an effort to Excellerate business efficiency. By providing comprehensive solutions for both migrating data to and from the cloud, professional cloud migration companies are quickly becoming a valuable resource for businesses of all sizes.

Get Access to the In-depth Free sample Report @ https://www.vantagemarketresearch.com/cloud-migration-services-market-1861/request-sample

One provider in global cloud migration services market, SoftLayer by IBM, has seen rapid growth in exact years. Analyst from Vantage Market Research says that customers are looking for a "simple path" to migrating to the cloud. Migration can be complex and time-consuming, but SoftLayer emerging to provide as smooth as possible. The company offers a wide variety of services, including migrations between public clouds like Amazon Web Services (AWS) and Microsoft Azure, as well as private clouds like those run by companies such as Google and IBM. They also offer migration services from on-premises servers to virtual servers running in the cloud, as well as backup and disaster recovery services.

Global Cloud Migration Services Market Top Companies Profile:

  • AWS (US)

  • IBM (US)

  • Microsoft (US)

  • Google (US)

  • Cisco (US)

  • NTT Data (Japan)

  • DXC (US)

  • VMware (US)

  • Rackspace (US)

  • Informatica (US)

  • WSM (US)

  • Zerto (US)

  • Virtustream (US)

  • River Meadow (US)

  • OpenStack (US)

Key Finding of the Global Clod Migration Services Market

Cloud migration is one of the most complex and often time-consuming tasks for companies in today's ever-connected world. This is especially true for companies that have a global workforce and need to move employees from on-premises infrastructure to the cloud in the global cloud migration services market.

Vantage Market Research surveyed 50 providers of cloud migration services, ranging from small startups to global giants. The goal was to provide an overview of the market, identify key trends, and evaluate providers across eight categories: migration management, data migration, application migration, platform migration, infrastructure transformation, governance and security, and federation.

The results of the cloud migration services market survey are overwhelming in terms of both the breadth and depth of offerings available from these providers. Migration management (20%) is by far the most popular service category; data migration (21%), application migration (18%), platform migration (16%), infrastructure transformation (13%), and federation (12%) are all close behind.

Limited Time Offer | Buy this Premium Research Report with Exclusive Discount and Immediate Delivery@ https://www.vantagemarketresearch.com/buy-now/cloud-migration-services-market-1861/0

The report on cloud migration services market finds that a majority (60%) of enterprises have moved some or all application workloads to the cloud, but that only a fraction (10%) of these migrations have been accomplished using traditional migration techniques such as blue-sky planning, analysis, mapping and testing. Instead, most enterprise migrations are driven by emergent needs such as faster time to market or simplified management.

The top reasons cited for migrating to the cloud were cost savings and improved agility. Other reasons included delivering applications and services faster to customers and improving availability of workloads. Organizations are increasingly turning to cloud migration services in order to reduce costs and get applications up and running more quickly in the cloud. The report identifies five key strategies for migrating to the cloud: embracing public clouds, orchestrating private Clouds with public Clouds, developing hybrid clouds, making use of purpose-built infrastructure as a service provider and creating microservices architectures.

Scope of the Report:

Report Attributes

Details

Market Size in 2021

USD 92.4 Billion

Revenue Forecast by 2028

USD 340.7 Billion

CAGR

24.3% from 2022 to 2028

Base Year

2021

Forecast Year

2022 to 2028

Key Players

•  AWS (US)

•  IBM (US)

•  Microsoft (US)

•  Google (US)

•  Cisco (US)

•  NTT Data (Japan)

•  DXC (US)

•  VMware (US)

•  Rackspace (US)

•  Informatica (US)

•  WSM (US)

•  Zerto (US)

•  Virtustream (US)

•  River Meadow (US)

AWS, IBM, and Microsoft top Providers in Cloud Migration Services Market

AWS, IBM, and Microsoft are the top three most popular cloud migration service providers. AWS ranks first, with IBM coming in second and Microsoft third. AWS uses its own services, as well as partner services, to move applications to the cloud. AWS has a variety of tools and services to choose from, such as Elastic Beanstalk (which helps developers build and deploy cloud-based applications) and Amazon Sage Maker (a machine learning service).

IBM, a leading player in the global cloud migration services market, also has services to help companies migrate their applications to the cloud. One of IBM’s main offerings is its SoftLayer cohort, which provides businesses with access to IBM’s cloud infrastructure as a service. SoftLayer also offers migration assistance, DDoS protection, and application flexibility.

Microsoft Azure is another popular option for migrating applications to the cloud. Azure offers a wide range of features for building, deploying, and managing applications in the cloud. Azure also offers migration assistance and the ability to connect legacy systems to the cloud.

Vantage Market Research Study Says Enterprises are Deploying Cloud Migration Services to Reduce Complexity and Save Time

VMR’s survey on cloud migration services market is one of the most comprehensive surveys on the topic. The survey polled over 2,000 IT professionals who have experience with migrating workloads to the cloud.

The results of the survey showed that most respondents felt that cloud migration services were helpful in reducing complexity and saving time. However, there were some concerns raised about cost and security. Overall, the majority of respondents were satisfied with their experience using cloud migration services.

One of the key findings from the survey on cloud migration services market was that automated tools are critical for successful cloud migrations. Respondents who used automation reported higher levels of satisfaction with their overall experience. They also noted that automated tools helped reduce complexity and save time.

Another important finding was that training and support are essential for successful migrations. Respondents who had access to training and support reported higher levels of satisfaction with their experience. They also noted that training and support helped reduce complexity and save time.

Browse market data Tables and Figures spread through 147 Pages and in-depth TOC on Cloud Migration Services Market Forecast Report (2022-2028).

The Report on the Cloud Migration Services Market highlights:

  • Assessment of the market

  • Premium Insights into Industry

  • In-depth Competitive Landscape

  • COVID Impact Analysis

  • Historical Data, Current Data, and Forecast Data

  • Top and Emerging Company Profiles

  • Global and Regional Dynamics

In a exact survey of IT decision makers from around the global cloud migration services market, our study found that 43% of respondents are either already migrating or plan to do so in the next 12 months. The top reason for this migration activity is because employees demand access to the cloud for work-related tasks, with 54% citing access as the main motivation. In addition, 43% of respondents from large enterprises said their organization is using at least two MSPs for cloud migration services. The most popular use case for MSP services is transitioning workloads to the public cloud, cited by 53% of respondents.

Choosing the right cloud migration service is critical for success. Vantage found that 70% of respondents in the cloud migration services market report successful migrations when using a third-party service provider, but only 39% say the same about self-deployment. In addition, self-deployment requires more planning time than using a pre-packaged service from a third party (37% vs. 22%).

Customization of the Report:

The report can be customized as per client needs or requirements. For any queries, you can contact us at sales@vantagemarketresearch.com or +1 (202) 380-9727. Our sales executives will be happy to understand your needs and provide you with the most suitable reports.

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We, at Vantage Market Research, provide quantified B2B high quality research on more than 20,000 emerging markets, in turn, helping our clients map out constellation of opportunities for their businesses. We, as a competitive intelligence market research and consulting firm provide end to end solutions to our client enterprises to meet their crucial business objectives. Our clientele base spans across 70% of Global Fortune 500 companies. The company provides high quality data and market research reports. The company serves various enterprises and clients in a wide variety of industries. The company offers detailed reports on multiple industries including Chemical Materials and Energy, Food and Beverages, Healthcare Technology, etc. The company’s experienced team of Analysts, Researchers, and Consultants use proprietary data sources and numerous statistical tools and techniques to gather and analyse information.

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Tue, 11 Oct 2022 23:34:00 -0500 en-NZ text/html https://nz.finance.yahoo.com/news/cloud-migration-services-market-size-113000979.html
Killexams : The AI Beat: Big Tech AI wars heat up

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Welcome to the AI Beat – my new column digging into some of the week’s artificial intelligence (AI) news and attempting to put it into context. 

When I asked Gartner analyst Sid Nag yesterday why this week’s AI-related cloud news released at Google Cloud Next and Microsoft Ignite seemed like a “tsunami” of product announcements, he chuckled. 

While neither of us had our cameras on for the interview, I could feel Nag, who focuses on cloud services and technologies, nodding sagely. “I think I know why that is,” he said. 

I certainly needed some expert guidance. After all, I’ve been on the AI beat at VentureBeat for six months now, but I have yet to fully adjust to the seasonal PR routines of Big Tech – in fact, this week’s barrage was of the sort that always reminds me of this comic from The Oatmeal

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There were announcements at Google Cloud Next ranging from its new Vertex AI Vision service, a computer vision-as-a-service capability, to a new AI Agents service and the open-source OpenXLA project. There were also additional incremental AI improvements announced at Next, including support for the Nvidia Merlin recommender system framework, AlphaFold batch inference and TabNet support. 

Next came a boatload of Azure AI news out of Microsoft Ignite bucketed around productivity, including prebuilt AI models available in Form Recognizer, expanded summarization and language support in Azure Cognitive Services, new features in speech-to-text and text-to-speech, and the debut of DALL-E 2 as part of Azure’s OpenAI Service, by invitation only. 

Using AI to make cloud an intelligent platform

The Big Tech cloud providers, Nag explained – Google, Microsoft and AWS are the top three, IBM and Oracle round out the top five – have gone past the era of commoditized infrastructure capabilities, such as compute storage and networking, with a new goal of making the entire infrastructure more intelligent and predictable. The new trend, he said, is applying AI to those infrastructure needs. 

“I think the pedestrian use of AI has become more pervasive, which is something I’ve been pushing for the past three or four years with the hyperscalers,” he said. 

Big Tech, he explained, wants to use AI effectively up and down the cloud stack to make the cloud an intelligent platform, as well as applying a layer that democratizes AI and brings it to the business user. 

Lots of ingredients, but no clear recipe

The problem with so many cloud announcements about AI-related capabilities, however, is that Big Tech isn’t properly communicating how to combine those capabilities intelligently, Nag pointed out. 

“If I want to cook chicken parmesan,” he explained, “which ingredients do I need and what proportion of those ingredients? What’s the recipe I should be using? I think there’s a lot of things being announced by cloud providers, but they should really up-level the game as to how you can use those things intelligently to drive outcomes.” 

Fear of falling behind in a multicloud era

The Big Tech AI announcements coming so close together – Oracle is on deck for next week at Cloud World, teasing AI news with Nvidia – is no accident, Nag said. 

“Nobody wants to fall behind,” he said. “Historically, Google has been ahead of the game in the AI business; it’s almost like Microsoft and others are feeling the heat.” 

In an era of multicloud – where an organization uses a combination of clouds to distribute various applications and services – the battle for customers looking to employ sophisticated AI systems has become fiercer than ever. 

“[Multicloud] is the biggest use case we see today,” said Nag. Historically, workloads and applications moving to the cloud were the low-hanging fruit of things like email applications, Office 365, CRM or ERP. Now, however, organizations are moving heavy-duty, complex applications to the cloud. 

“They’re moving the core crown jewels,” he explained. “For example, if I’m a hedge fund in downtown Manhattan and I have a specialized application written to do algorithmic trading, that’s what I depend on to layer up on my competition because executing trades in nanoseconds matters.” 

A cloud AI war for best-in-class

As that starts to happen, CIOs and IT leaders look for best-in-class components to service that workload – so in addition to a primary cloud vendor, an organization might bring on a secondary or tertiary provider. 

“It’s not that the primary vendor doesn’t have the other componentry, but they may or may not be best in class,” he said, adding that once the secondary vendor gets a foot in the company’s door, it might look to expand its services. 

With companies worldwide expected to spend an estimated $494.7 billion on cloud computing this year, according to Gartner, up 20% from 2021, and spending predicted to reach $600 billion by the end of 2023, there’s a lot of potential money at stake. And Nag told the Wall Street Journal [subscription required] in April that it’s the “willingness of CIOs to purchase higher-valued features that is fueling public cloud spending growth.” 

Rohit Kulkarni, an analyst at MKM, weighed in on this course in a research note last week [subscription required]. He said he is “convinced that we are on the cusp of accelerating Big Tech AI wars,” though it is unclear who holds the early edge when it comes to commercial success. 

But he said that he is certain about one thing: “Commercial rollout of AI apps requires significant storage and computing resources, thus public cloud vendors could benefit from a strong usage tailwind over the next several years.”

Hmm … I wonder why I’m suddenly craving chicken parmesan?

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Fri, 14 Oct 2022 12:32:00 -0500 Sharon Goldman en-US text/html https://venturebeat.com/ai/the-ai-beat-big-tech-cloud-ai-wars-heat-up/
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