Page 3,253«..1020..3,2523,2533,2543,255..3,2603,270..»

VMware to Present at the Jefferies Cybersecurity Summit – Web Hosting | Cloud Computing | Datacenter | Domain News – Daily Host News

PALO ALTO, Calif.(BUSINESS WIRE)VMware, Inc. (NYSE: VMW), a leading innovator in enterprise software, today announced that Sanjay Poonen, VMwares chief operating officer, customer operations, and Patrick Morley, VMwares general manager, security, will present at the Jefferies cybersecurity summit on Thursday, December 10, 2020 at 7:00 a.m. PT/ 10:00 a.m. ET.

A live webcast will be available on VMwares Investor Relations page at http://ir.vmware.com. The replay of the webcast will be available for two months.

About VMware

VMware software powers the worlds complex digital infrastructure. The companys cloud, app modernization, networking, security, and digital workspace offerings help customers deliver any application on any cloud across any device. Headquartered in Palo Alto, California, VMware is committed to being a force for good, from its breakthrough technology innovations to its global impact. For more information, please visit https://www.vmware.com/company.html

Additional Information

VMwares website is located at http://www.vmware.com, and its investor relations website is located at http://ir.vmware.com. VMwares goal is to maintain the investor relations website as a portal through which investors can easily find or navigate to pertinent information about VMware, all of which is made available free of charge. The additional information includes materials that VMware files with the SEC; announcements of investor conferences and events at which its executives talk about VMwares products, services and competitive strategies; webcasts of our quarterly earnings calls, investor conferences and events (archives of which are also available for a limited time); additional information on VMwares financial metrics, including reconciliations of non-GAAP financial measures to the most directly comparable GAAP measures; press releases on quarterly earnings, product and service announcements, legal developments and international news; corporate governance information; and other news, blogs and announcements that VMware may post from time to time that investors may find useful or interesting.

Contacts

Sandra Kerrigan

VMware Investor Relations

skerrigan@vmware.com

Michael Thacker

VMware Global Communications

mthacker@vmware.com

The rest is here:
VMware to Present at the Jefferies Cybersecurity Summit - Web Hosting | Cloud Computing | Datacenter | Domain News - Daily Host News

Read More..

How to benefit from the cloud computing boom with ASX shares – Motley Fool Australia

Because of the pandemic and the working from home initiative, you might have heard people talking about the cloud or cloud computing a lot this year.

Cloud computing is best described as the on-demand availability of computer system resources such as data storage and computing power, without direct active management by the user.

Its what allows you to stream endless hours of TV shows via Netflix, do your accounting at home with Xero Limited (ASX: XRO), or communicate with your colleagues via Zoom.

While the pandemic has accelerated the adoption of cloud-based products, theres still a long way to go before cloud computing growth plateaus.

Especially due to new technologies and the arrival of 5G internet. The latter is expected to create new cloud-based applications and opportunities that were impossible with previous networks.

This bodes well for companies with exposure to the cloud and could underpin strong demand for their products and services over the next decade.

Which companies will benefit on the Australian share market? Three ASX shares with exposure to cloud-computing are listed below:

Macquarie Telecom is a provider of telco and hosting services to corporate and government customers. It is the latter offering that is expected to be the key driver of growth for the company over the coming years. Its Hosting segment has been growing at a strong rate and appears well-positioned to continue this trend. Especially after recent capacity expansions were made in order to capture the increasing demand for data centre services in Australia.

Megaport offers scalable bandwidth for public and private cloud connections, metro ethernet, and data centre backhaul. It has networking equipment in hundreds of data centres around the world. This has created a software layer that provides an easy way for users to create and manage network connections. For example, through the Megaport network, users can create and run a global network with or without the need for physical infrastructure. Demand has been strong for its services this year, leading to Megaport reporting a 57% increase in monthly recurring revenue (MRR) to $5.7 million in FY 2020.

NEXTDC is an innovative data centre company which operates a collection of world class centres in key locations across Australia. Demand for its services has been growing very strongly in recent years and particularly in 2020. This has led to the company accelerating the construction of new centres in order to meet the rising demand. In addition to this, management recently revealed that it is looking into expanding into the Asia market in the near future.

When investing expert Scott Phillips has a stock tip, it can pay to listen. After all, the flagship Motley Fool Share Advisor newsletter he has run for more than eight years has provided thousands of paying members with stock picks that have doubled, tripled or even more.*

Scott just revealed what he believes are the five best ASX stocks for investors to buy right now. These stocks are trading at dirt-cheap prices and Scott thinks they are great buys right now.

See The 5 Stocks

*Returns as of June 30th

James Mickleboro owns shares of NEXTDC Limited. The Motley Fool Australia's parent company Motley Fool Holdings Inc. owns shares of and recommends MEGAPORT FPO. The Motley Fool Australia's parent company Motley Fool Holdings Inc. owns shares of Xero. The Motley Fool Australia has recommended MEGAPORT FPO. We Fools may not all hold the same opinions, but we all believe that considering a diverse range of insights makes us better investors. The Motley Fool has a disclosure policy. This article contains general investment advice only (under AFSL 400691). Authorised by Scott Phillips.

Read more:
How to benefit from the cloud computing boom with ASX shares - Motley Fool Australia

Read More..

Global SaaS Cloud Computing Market Expected To Reach Highest CAGR by 2026 : Microsoft, Adobe, Salesforce, Intuit, ServiceNow, etc. – Cheshire Media

Global SaaS Cloud Computing market is anticipated to embark on a nail-biting growth trajectory identified with several core factors and elements such as dominant trends and technological developments, along with prominent growth drivers and retardants that collectively influence overall growth scenario in global SaaS Cloud Computing market. Further in the report readers are offered details on competition mapping that includes details on complete overview of major players. This section of the report categorically focuses on the versatility of manufacturer segment, highlighting prominent players. Each vendor profile has been assessed on the basis of stringent analytical parameters and research practices such as SWOT analysis.

As per high end research initiatives carried out by expert researchers and analysts, global SaaS Cloud Computing market is likely to experience rampant growth upsurge, highlighting a favorable CAGR percentage throughout the growth span. Based on in-depth micro and macro-economic growth factors, global SaaS Cloud Computing market is anticipated to demonstrate high potential growth and is anticipated to echo past growth trends even in the coming years.

The study encompasses profiles of major companies operating in the SaaS Cloud Computing Market. Key players profiled in the report includes:

We Have Recent Updates of SaaS Cloud Computing Market in Sample [emailprotected] https://www.orbisresearch.com/contacts/request-sample/4625360?utm_source=puja

Detailed Indicator Analysis: Global SaaS Cloud Computing Market

This segment assessment clearly focuses on the array of novel changes and new investments made by market forerunners towards improving product qualities to align with end-use needs.The segmentation section of the market is diversified primarily it product and service based segmentation followed by application. Emphasis on other associated segment analysis have also been roped in the report.

The report also gauges into market performance and profitability ratio across a vast array of geographical domains to understand most dominant trends, manufacturer investments and end-user preferences across five different regions, besides also including prominent development leads across several countries.

By the product type, the market is primarily split into

By the end-users/application, this report covers the following segments

Global SaaS Cloud Computing Market Segment Analysis The report includes actionable insights and relevant data on diverse product offerings inclusive of product specifications, their revenue generation potential as well as manufacturer investments in product improvisation and consumer response in the area. Based on application segments, this versatile research report on global SaaS Cloud Computing market elaborates end-user and application specific milestones for best reader experience and guidance. Various market sub-segments are also highlighted in the report besides moving forward with CAGR performance in the forecast tenure.

Browse Full Report with Facts and Figures of SaaS Cloud Computing Market Report at @ https://www.orbisresearch.com/reports/index/global-saas-cloud-computing-market-size-status-and-forecast-2020-2026?utm_source=puja

Detail Trend Analysis The report progresses further with minute detailing of dominant as well as contributing trends that largely influence growth prognosis. A thorough reference of technological innovations, product and service-based developments as well as policy alterations, funding schemes and the like are monitored aggressively to make appropriate deductions.

Geographical Segmentation and Competition Analysis North America (U.S., Canada, Mexico) Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS) Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific) Latin America (Brazil, Rest of L.A.) Middle East and Africa (Turkey, GCC, Rest of Middle East)

Do You Have Any Query or Specific Requirement? Ask Our Industry [emailprotected] https://www.orbisresearch.com/contacts/enquiry-before-buying/4625360?utm_source=puja

Report Highlights: A dedicated interpretation of innovative technological developments align with value and volume based assessment of the global SaaS Cloud Computing market has been orchestrated The report is in place to invoke tremendous revenue generation initiatives by carrying out thorough assessment of market dimensions in a bid to deduce market progression in terms of value and volume based market developments The performance of each of the prominent segments, along with elaborate assessment of opportunity mapping, SWOT and PESTEL analysis along with data triangulation methodologies have been meticulously pinned in the report These minute report details allow market participants and stakeholders to optimally understand the growth potential of the market, thus encouraging future ready investment decisions The illustrative market research report is a brainchild creation to identify prevalent market threats, evaluate barrier limitations besides roping in details on growth stimuli that foster growth.

At the end of the report, readers are expected to understand the following market scenarios:

About Us:Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.

Contact Us:Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155

View post:
Global SaaS Cloud Computing Market Expected To Reach Highest CAGR by 2026 : Microsoft, Adobe, Salesforce, Intuit, ServiceNow, etc. - Cheshire Media

Read More..

Cloud Computing Market with Forecast , Organization Sizes, Top Vendors, Industry Research and End User Analysis By 2025 – The Haitian-Caribbean News…

Cloud Computing Market research report which provides an in-depth examination of the market scenario regarding market size, share, demand, growth, trends, and forecast for 2020-2026. The report covers the impact analysis of the COVID-19 pandemic. The COVID-19 pandemic has affected export imports, demands, and industry trends and is expected to have an economic impact on the market. The report provides a comprehensive analysis of the impact of the pandemic on the entire industry and provides an overview of a post-COVID-19 market scenario.

The global Cloud Computing Market report offers a complete overview of the Cloud Computing Market globally. It presents real data and statistics on the inclinations and improvements in global Cloud Computing Markets. It also highlights manufacturing, abilities & technologies, and unstable structure of the market. The global Cloud Computing Market report elaborates the crucial data along with all important insights related to the current market status.

Major Market Players Included in this Report is:

Cloud Platform, Amazon Web Services, Salesforce, Aliyun, SAP, Rackspace, Microsoft Azure, IBM, Oracle, VMware, and Dell EMC.

Request Free Sample Report of Cloud Computing Market Report @https://www.adroitmarketresearch.com/contacts/request-sample/855?utm_source=AD

Our Free Complimentary Sample Report Accommodate a Brief Introduction of the research report, TOC, List of Tables and Figures, Competitive Landscape and Geographic Segmentation, Innovation and Future Developments Based on Research Methodology

Global Cloud Computing Market Report covers major market characteristics, size and growth, key segments, regional breakdowns, competitive landscape, market shares, trends and strategies for this market.

The global Cloud Computing Market report offers a knowledge-based summary of the global Cloud Computing Market. It demonstrates the new players entering the global Cloud Computing Market. It emphasizes the basic summary of the global Cloud Computing Market. The perfect demonstration of the most recent improvements and new industrial explanations offers our customer a free hand to build up avant-garde products and advanced techniques that will contribute in offering more efficient services.

The report analyzes the key elements such as demand, growth rate, cost, capacity utilization, import, margin, and production of the global market players. A number of the factors are considered to analyze the global Cloud Computing Market. The global Cloud Computing Market report demonstrates details of different sections and sub-sections of the global Cloud Computing Market on the basis of topographical regions. The report provides a detailed analysis of the key elements such as developments, trends, projections, drivers, and market growth of the global Cloud Computing Market. It also offers details of the factors directly impacting on the growth of the global Cloud Computing Market. It covers the fundamental ideas related to the growth and the management of the global Cloud Computing Market.

Inquire more about this report @https://www.adroitmarketresearch.com/industry-reports/cloud-computing-market?utm_source=AD

Cloud Computing market segmentation

The Study is segmented by following Product Type:

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

The global Cloud Computing Market research report highlights most of the data gathered in the form of tables, pictures, and graphs. This presentation helps the user to understand the details of the global Cloud Computing Market in an easy way. The global Cloud Computing Market report research study emphasizes the top contributors to the global Cloud Computing Market. It also offers ideas to the market players assisting them to make strategic moves and develop and expand their businesses successfully.

Promising Regions & Countries Mentioned In TheCloud Computing Market Report:

North America ( United States)Europe ( Germany, France, UK)Asia-Pacific ( China, Japan, India)Latin America ( Brazil)The Middle East & Africa

Highlights of Global Market Research Report:

Show the market by type and application, with sales market share and growth rate by type, application

Cloud Computing Market forecast, by regions, type and application, with sales and revenue, from 2019 to 2026

Define industry introduction, Cloud Computing Market overview, market opportunities, product scope, market risk, market driving force;

Analyze the top manufacturers of Cloud Computing Market Industry, with sales, revenue, and priceDisplay the competitive situation among the top manufacturers, with sales, revenue and market share

Request the coronavirus impact analysis across industries and market

The reports major objectives include:

* To establish a comprehensive, factual, annually-updated and cost-effective information based on performance, capabilities, goals and strategies of the worlds leading companies.

* To help current suppliers realistically assess their financial, marketing and technological capabilities vis-a-vis leading competitors.

* To assist potential market entrants in evaluating prospective acquisitions and joint venture candidates.

* To complement organizations internal competitor information gathering efforts by providing strategic analysis, data interpretation and insight.

* To identify the least competitive market niches with significant growth potential.

Global Cloud ComputingMarket Report Provides Comprehensive Analysis of:

* Cloud Computing Market industry diagram* Up and Downstream industry investigation* Economy effect features diagnosis* Channels and speculation plausibility* Market contest by Players* Improvement recommendations examination

Also, Research Report Examines:* Competitive companies and manufacturers in global market* By Product Type, Applications & Growth Factors* Industry Status and Outlook for Major Applications / End Users / Usage Area

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

Request impact analysis on this market @https://www.adroitmarketresearch.com/contacts/enquiry-before-buying/855?utm_source=AD

About Us :

Adroit Market Research is a global business analytics and consulting company. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a markets size, key trends, participants and future outlook of an industry. We intend to become our clients knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.

Contact Us :

Ryan JohnsonAccount Manager Global3131 McKinney Ave Ste 600, Dallas,TX75204, U.S.A.Phone No.: USA: +1 972-362 -8199/ +91 9665341414

Link:
Cloud Computing Market with Forecast , Organization Sizes, Top Vendors, Industry Research and End User Analysis By 2025 - The Haitian-Caribbean News...

Read More..

Cloud Computing in Automotive Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics and Research…

The Cloud Computing in Automotive Market Research Report is a correct and detailed analysis of the current state of the keyword market that targets multiple areas and forces major manufacturers to expand. Cloud Computing in Automotive Industry provides in-depth exploration of revenue generation, keyword industry dynamics, segmentation, share predictions and enables buyers to shape the best business choices. It also serves as important statistical information about the position of keyword manufacturers in the keyword market. The Cloud Computing in Automotive Market Report can be an important source of guidance for key corporations and people interested in the keyword market.

The data presented in the global keyword market offers promising opportunities to help users make strategic moves and succeed in their business. The report highlights the impact of many factors that can hinder or drive the keyword market both globally and locally. The Global Cloud Computing in Automotive Research Report provides a summary of the major players dominating the market, including several aspects such as their financial summary, business strategy and the most recent developments in these companies.

Get Sample Copy of this report @ https://www.adroitmarketresearch.com/contacts/request-sample/981?utm_source=Bhagyashri

The global Cloud Computing in Automotive market research report offers users with an all-inclusive package of market analysis that includes current market size, expansion rate, and value chain analysis. The global Cloud Computing in Automotive market is segmented on a regional basis Europe, North America, Latin America, Asia Pacific, and Middle East & Africa as well. To offer a comprehensive view and competitive outlook of the global Cloud Computing in Automotive market, our review team employs numerous methodological procedures, for instance, Porters five forces analysis.

Prominent players operating in the market:

Amazon Web Services, Microsoft Azure, and Google Cloud Platform

Grab Your Report at an Impressive Discount! Please click here @ https://www.adroitmarketresearch.com/industry-reports/cloud-computing-in-automotive-market?utm_source=Bhagyashri

Qualitative information will cover key market constraints and market growth potential, regulatory scenario, value chain and supply chain analysis, export and import analysis, attractive investment proposals, and Porters five forces analysis. others will be part of quality information. Further, a qualitative rationale for the assessments for each segment and region will be given.

The study will also present key companies operating in the industry, their product / business portfolio, market share, financial position, regional share, segment revenue, SWOT analysis, key strategies, including mergers and acquisitions, product development, joint ventures and partnerships. as well as extensions. among other things, as well as their latest news. The study will also provide a list of new players in the Cloud Computing in Automotive market.

Key points of the global Cloud Computing in Automotive market

Theoretical analysis of the global Cloud Computing in Automotive market stimulators, products, and other vital facets Recent, historical, and future trends in terms of revenue and market dynamics are reported Pin-point analysis of the competitive market dynamics and investment structure is predicted to grow Future market trends, latest innovations, and various business strategies are reported Market dynamics include growth influencers, opportunities, threats, challenges, and other crucial facets

Competitive Analysis:

The report offers effective guidelines and recommendations for players to build strong positions and dominate the Cloud Computing in Automotive market. The report offers extensive coverage of the competition and a detailed report on mergers and acquisitions in the chatbot market.

The report includes comprehensive data on mergers and acquisitions to help clients gain a complete understanding of market competition, as well as provide you with extensive knowledge of how to succeed and grow in the market.

Segment Based Assessment

Besides identifying the segments, this section of the report further incorporates relevant details on the overall alterations that are being thoroughly incorporated to understand growth steering potential if various segments. The potential of each of these segments in favoring growth across new and untapped markets have been deeply assessed besides crucially determining the impact of ongoing refurbishments towards improved growth outlook. The report categorizes overall market into dominant segments such as segmentation by type and application which are thoroughly assessed and evaluated to understand market growth potential.

Vendor Assessment:

Astute research activities are at play to deduct multifarious information on versatile details such as competitive landscape, ongoing industry developments, growth milestones, commercial activities such as corporate collaborations, M&A, product placements and extensions and similar corporate activities that play crucial role in growth enhancements. Each of the frontline players have been categorically assessed and analyzed to delve into minute details that are crucial in growth persuasion.

Research Methodology

The Global Cloud Computing in Automotive Market Research was conducted by a team of industry experts and professionals with deep market knowledge. Researchers determine the intensity of competition and also study the opportunities for growth in the market using the parameters of the Porters five forces model method. The report also conducts a SWOT analysis of the Cloud Computing in Automotive market, identifying strengths, weaknesses, opportunities and threats in the market. The report will help companies entering the market get a complete picture of current and future market trends.

Following are major Table of Content of Cloud Computing in Automotive Market Report:

1. Industry Overview of Cloud Computing in Automotive.2. Manufacturing Cost Structure Analysis of Cloud Computing in Automotive market.3. Specialized Information and Manufacturing Plants Investigation of Cloud Computing in Automotive.4. Capacity, Production and Revenue Analysis.5. Price, Cost, Gross and Gross Margin Analysis of Cloud Computing in Automotive by Regions, Types and Manufacturers.6. Consumption Volume, Consumption Value and Sale Price Analysis of Cloud Computing in Automotive industry by Regions, Types and Applications.7. Supply, Import, Export and Consumption Analysis of Cloud Computing in Automotive Market.8. Major Manufacturers Analysis of Cloud Computing in Automotive industry.9. Marketing Trader or Distributor Analysis of Cloud Computing in Automotive.10. Industry Chain Analysis of Cloud Computing in Automotive.11. Development Trend Analysis of Cloud Computing in Automotive Market.12. New Project Investment Feasibility Analysis of Cloud Computing in Automotive.13. Conclusion of the Cloud Computing in Automotive Industry.

Why you should buy this report?

This report provides a brief analysis of the Cloud Computing in Automotive market over the past 5 years with historical data and a more accurate forecast for the next 5 years based on statistical information.

The research report offers several strategic business methodologies and helps you make informed business decisions.

The Cloud Computing in Automotive Market report offers you a comprehensive analysis of the products in the market and helps you understand the future prospects in various segments.

Industry experts and research analysts work together to create a research report that helps you compete in the marketplace.

This report will help you understand the components of the market by offering a holistic view of key players, their dynamics and competitive strategies. The report provides a comprehensive guide for clients to make informed business decisions as it provides detailed information to better understand the current and future market conditions.

Make an Inquiry of the Cloud Computing in Automotive Market Report @ https://www.adroitmarketresearch.com/contacts/enquiry-before-buying/981?utm_source=Bhagyashri

About Us :

Adroit Market Research is an India-based business analytics and consulting company incorporated in 2018. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a markets size, key trends, participants and future outlook of an industry. We intend to become our clients knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.

Contact Us :

Ryan JohnsonAccount Manager Global3131 McKinney Ave Ste 600, Dallas,TX75204, U.S.A.Phone No.: USA: +1 972-362 -8199/ +91 9665341414

Go here to read the rest:
Cloud Computing in Automotive Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics and Research...

Read More..

Alibaba Feeling the Heat From Delisting Pressure, But There’s a Silver Lining – InvestorPlace

Alibaba Group Holding(NYSE:BABA) has seen its shares get hit hard over the past month. Theyve dropped some 17% in value since the end of October. However, the company is performing very well in 2020. Before the slide, BABA stock had posted 66% growth on the year.

Source: BigTunaOnline / Shutterstock.com

Since then, Alibaba shares have been hurt by the dual threats of being delisted from U.S. exchanges and scrutiny from the Chinese government.

However, assuming the company is able to navigate these regulatory hurdles, Alibaba is looking great. And its on track to keep posting growth with its cloud investment finally shifting into the black.

Like American tech giants, Alibaba has been investing heavily in cloud computing. Data centers are expensive to bring online and operate, and competition in the industry is fierce. In September, the company announced that investment is beginning to pay off.

The companys CFO told CNBC that the cloud computing division will become profitable for the first time in this current fiscal year. CEO Daniel Zang called cloud computing a growth engine for his company, describing it as the kind of opportunity that comes only once in a generation.

This is a big deal with considerable long-term upside for BABA stock.

When Alibaba released September quarter earnings results last month, cloud computing was spiked out again:

cloud computing revenue grew 60% year-over- year, driven by the acceleration in digitalization across all industries and businesses of all sizes in China. We are happy to see that our strategic investments are starting to see improving operational efficiencies and the effect of scale.

Cloud revenue was $2.19 billion for the quarter, up 60% year-over-year. In addition Alibaba drew attention to its success in signing up clients:

As of September 30, 2020, approximately 60% of A-share listed companies are customers of Alibaba Cloud, and their average spending grew 45% year-over-year in September 2020.

The global cloud computing market is expected to be worth $371.4 billion 2020. Thats huge, but it is also growing rapidly. Projections have that market hitting $832.1 billion in 2025. Thats a CAGR of 17.5%.

But it gets better for Alibaba investors. The Asia Pacific market is expected to see the most growth during that time, outpacing North America. And the country within that area projected to lead the way in cloud computing growth? China. Alibabas home turf.

Alibaba is seeing significant growth across all its business units, including its core e-commerce business. The biggest risk associated with this company lies in the current tension between the American and Chinese governments.

Legislation voted on in the House will force Chinese stocks listed on U.S. exchanges to comply with a yearly audit by American regulators. If passed, this would give Alibaba and other Chinese stocks three years to comply, or they would be forced off U.S. stock markets. In addition, the Chinese government is stepping up antitrust scrutiny of internet-based companies like Alibaba.

These actions have been a drag on BABA stock, especially over the past month.

Investment analysts love Alibaba perhaps even more than I do. Its a company that has a large following, and an overwhelmingly positive one. The Wall Street Journal is tracking 54 analysts who cover BABA. Two holdouts have a hold rating on the stock. Three have it rated as overweight and 49 rate it as a buy.

Heres the bottom line on BABA stock. There is some risk involved, especially from the Holding Foreign Companies Accountable Act. So in Portfolio Grader, BABA gets a B rating. However, the vast majority of investment analysts agree with my view: the risk is worth it.

Alibaba is an e-commerce powerhouse and a growing cloud computing player. If youre searching for a company that has enormous long-term growth potential, BABA is well worth investing in.

On the date of publication, Louis Navellier had a long position in BABA. Louis Navellier did not have (either directly or indirectly) any other positions in the securities mentioned in this article. InvestorPlace Research Staff member primarily responsible for this article did not hold (either directly or indirectly) any positions in the securities mentioned in this article.

Read the original here:
Alibaba Feeling the Heat From Delisting Pressure, But There's a Silver Lining - InvestorPlace

Read More..

Will Artificial Intelligence Ever Live Up to Its Hype? – Scientific American

When I started writing about science decades ago, artificial intelligence seemed ascendant. IEEE Spectrum, the technology magazine for which I worked, produced a special issue on how AI would transform the world. I edited an article in which computer scientist Frederick Hayes-Roth predicted that AI would soon replace experts in law, medicine, finance and other professions.

That was in 1984. Not long afterward, the exuberance gave way to a slump known as an AI winter, when disillusionment set in and funding declined. Years later, doing research for my book The Undiscovered Mind, I tracked Hayes-Roth down to ask how he thought his predictions had held up. He laughed and replied, Youve got a mean streak.

AI had not lived up to expectations, he acknowledged. Our minds are hard to replicate, because we are very, very complicated systems that are both evolved and adapted through learning to deal well and differentially with dozens of variables at one time. Algorithms that can perform a specialized task, like playing chess, cannot be easily adapted for other purposes. It is an example of what is called nonrecurrent engineering, Hayes-Roth explained.

That was 1998. Today, according to some measures, AI is booming once again. Programs such as voice and face recognition are embedded in cell phones, televisions, cars and countless other consumer products. Clever algorithms help me choose a Christmas present for my girlfriend, find my daughters building in Brooklyn and gather information for columns like this one. Venture-capital investments in AI doubled between 2017 and 2018 to $40 billion,according to WIRED. A Price Waterhouse study estimates that by 2030 AI will boost global economic output by more than $15 trillion, more than the current output of China and India combined.

In fact, some observers fear that AI is moving too fast. New York Times columnist Farhad Manjoo calls an AI-based reading and writing program, GPT-3, amazing, spooky, humbling and more than a little terrifying. Someday, he frets, he might be put out to pasture by a machine. Neuroscientist Christof Koch has suggested that we might need computer chips implanted in our brains to help us keep up with intelligent machines.

Elon Musk made headlines in 2018 when he warned that superintelligent AI, much smarter than we are, represents the single biggest existential crisis that we face. (Really? Worse than climate change? Nuclear weapons? Psychopathic politicians? I suspect that Musk, whohas invested in AI, is trying to promote the technology with his over-the-top fearmongering.)

Experts are pushing back against the hype, pointing out that many alleged advances in AI are based on flimsy evidence. Last January, for example, a team from Google Health claimed in Nature that their AI program had outperformed humans in diagnosing breast cancer. In October, a group led by Benjamin Haibe-Kains, a computational genomics researcher, criticized the Google health paper, arguing that the lack of details of the methods and algorithm code undermines its scientific value.

Haibe-Kains complained to Technology Review that the Google Health report is more an advertisement for cool technology than a legitimate, reproducible scientific study. The same is true of other reported advances, he said. Indeed, artificial intelligence, like biomedicine and other fields, has become mired in a replication crisis. Researchers make dramatic claims that cannot be tested, because researchersespecially those in industrydo not disclose their algorithms. One recent review found that only 15 percent of AI studies shared their code.

There are also signs that investments in AI are not paying off. Technology analyst Jeffrey Funk recently examined 40 start-up companies developing AI for health care, manufacturing, energy, finance, cybersecurity, transportation and other industries. Many of them were not nearly as valuable to society as all the hype would suggest, Funk reports in IEEE Spectrum. Advances in AI are unlikely to be nearly as disruptivefor companies, for workers, or for the economy as a wholeas many observers have been arguing.

Science reports that core progress in AI has stalled in some fields, such as information retrieval and product recommendation. A study of algorithms used to improve the performance of neural networks found no clear evidence of performance improvements over a 10-year period.

The longstanding goal of general artificial intelligence, possessing the broad knowledge and learning capacity to solve a variety of real-world problems, as humans do, remains elusive. We have machines that learn in a very narrow way, Yoshua Bengio, a pioneer in the AI approach called deep learning, recently complained in WIRED. They need much more data to learn a task than human examples of intelligence, and they still make stupid mistakes.

Writing in The Gradient, an online magazine devoted to tech, AI entrepreneur and writer Gary Marcus accuses AI leaders as well as the media of exaggerating the fields progress. AI-based autonomous cars, fake news detectors, diagnostic programs and chatbots have all been oversold, Marcus contends. He warns that if and when the public, governments, and investment community recognize that they have been sold an unrealistic picture of AIs strengths and weaknesses that doesn't match reality, a new AI winter may commence.

Another AI veteran and writer, Erik Larson, questions the myth that one day AI will inevitably equal or surpass human intelligence. In The Myth of Artificial Intelligence: Why Computers Cant Think the Way We Do, scheduled to be released by Harvard University Press in April, Larson argues that success with narrow applications gets us not one step closer to general intelligence.

Larson says the actual science of AI (as opposed to the pseudoscience of Hollywood and science fiction novelists) has uncovered a very large mystery at the heart of intelligence, which no one currently has a clue how to solve. Put bluntly: all evidence suggests that human and machine intelligence are radically different. And yet the myth of inevitability persists.

When I first started writing about science, I believed the myth of AI. One day, surely, researchers would achieve the goal of a flexible, supersmart, all-purpose artificial intelligence, like HAL. Given rapid advances in computer hardware and software, it was only a matter of time. And who was I to doubt authorities like Marvin Minsky?

Gradually, I became an AI doubter, as I realized that our mindsin spite of enormous advances in neuroscience, genetics, cognitive science and, yes, artificial intelligenceremain as mysterious as ever. Heres the paradox: machines are becoming undeniably smarterand humans, it seems lately, more stupid, and yet machines will never equal, let alone surpass, our intelligence. They will always remain mere machines. Thats my guess, and my hope.

Further Reading:

How Would AI Cover an AI Conference?

Do We Need Brain Implants to Keep Up with Robots?

The Many Minds of Marvin Minsky (R.I.P.)

The Singularity and the Neural Code

Who Wants to Be a Cyborg?

Mind-Body Problems

View post:
Will Artificial Intelligence Ever Live Up to Its Hype? - Scientific American

Read More..

Artificial Intelligence Research Catalyst Fund awards 20 grants totaling $1 million – University of Florida

The University of Florida has awarded 20 faculty teams $50,000 each from UF Research's Artificial Intelligence Research Catalyst Fund to pursue a wide range of AI-related projects. The researchers will utilize the universitys world-leading computing capabilities to analyze vast amounts of data and predict solutions to health, agriculture, engineering and educational challenges.

A team of faculty reviewers evaluated 133 proposals from across the university before settling on 20 that the group determined had the most potential for elevating UFs AI research profile. The projects will leverage the universitys new computing capabilities, which are being developed through $60 million in gifts from alumnus Chris Malachowsky and NVIDIA, the company he co-founded.

As part of UFs push to become a national leader in artificial intelligence research and education, the AI Research Catalyst Fund was created to encourage multidisciplinary teams of faculty and students to rapidly pursue imaginative applications of AI across the institution, said David Norton, UFs vice president for research. We anticipate that this seed funding will position these teams to pursue additional funding from government agencies and industry.

Among the projects are one to use AI to identify biomarkers that will facilitate the early detection of Alzheimers Disease.

By 2030, over 100 million people are expected to be living with Alzheimers Disease, said Juan Claudio Nino, a professor of materials science and engineering, and principal investigator on the project. Development of quantitative brain biomarkers to help early-stage detection, diagnostic precision, and guide intervention in Alzheimers is essential.

Nino is working with Marcelo Febo, an associate professor in psychiatry and neuroscience, to use AI to analyze functional magnetic resonance images of healthy and diseased brains to identify clues to the onset of the disease.

Emre Tepe, an assistant professor of urban and regional planning, and Abolfazl Safikhani, assistant professor of statistics, will be using machine learning to track past and present land use patterns in Florida to simulate future impacts of anticipated changes in land developments.

This model can also be easily applied to a wide spectrum of research areas such as traffic forecasting, urban energy consumption and disease spread, Tepe said.

Another team will use machine learning to mine a large dataset of student responses to math problems on UFs Algebra Nation platform to help teachers identify academically at-risk students even if they are learning remotely.

We hope to use machine learning techniques to analyze big data to automatically detect students emotions and engagement factors, two of the most important factors influencing online students learning outcomes, said Wanli Xing, an assistant professor in the College of Educations School of Teaching and Learning.

The team will also be looking for ways to ensure that AI tools used to identify at-risk students do not unfairly reinforce gender, race and other inequalities.

For example, a student course grade prediction model is twice as likely to incorrectly predict African-American students as having a high risk of failure compared to their Caucasian counterparts, said G. Bahar Basim, a professor of materials science and engineering and co-principal investigator with Xing. This can result in over-intervention and other undesirable consequences for African-American students.

Another project led by Alina Zare, a professor of electrical and computer engineering, and Peter DiGennaro, assistant professor of entomology and nematology, will pair UFs large dataset of nematode images with Zares researchon automated plant root analysis tocreate a new way of quickly identify the agricultural pests in the soil.

Effective management requires accurate parasitic nematode identification,DiGennarosaid, but human-based identification requires years of intensive training. Developing a machine learning algorithm to identify and quantify nematode species could revolutionize parasitic nematode identification services, increasing speed and accuracy of recommendations to farmers.

Artificial intelligence is accelerating our ability to develop solutions to complex problems previously viewed as intractable, Norton said. With these investments in our researchers, we are accelerating UFs impact in areas that benefit our state, our nation and the planet.

Joe Kays December 4, 2020

Excerpt from:
Artificial Intelligence Research Catalyst Fund awards 20 grants totaling $1 million - University of Florida

Read More..

Governments And Artificial Intelligence, Policy And Investment – Forbes

Artificial Intelligence

Over the last couple of years, it has become increasingly clear that many democratic governments have been taking a closer look at artificial intelligence (AI), both from a policy standpoint and as something to help their economies of the future. I specify democratic because of two reasons. First, its clear that China recognized both the economic power and the population control capabilities of AI much earlier. Democracies have many open issues and can move more slowly, and policy is discussed more widely by the population. Two pieces of news this week have shown the increasing focus on AI in the United States and the European Union (EU).

The Brookings Institution has increased its focus on AI, even publishing an interesting book I reviewed earlier this year. On December 1, Brookings held a webinar on the future of tech antitrust in the Biden administration. While the subject doesnt directly relate to AI, there are clear implications. Two of the first companies to operationalize AI were Amazon and Google, both targets for potential antitrust action. To understand how that could impact the industry, many people are talking about the failed actions against Microsoft a few decades ago. I go further back. People tend to forget that IBM was broken up because it controlled the software and the hardware in the mainframe days. Splitting the groups is what allowed the creation of the independent software vendor (ISV), which is todays software industry.

Artificial intelligence is going to have a massive impact on our lives. Right now there are many small players, but acquisitions will happen as that has always been a regular exit strategy. The question is when acquisitions reach a level of restraint of trade or monopolistic anti-competition. One of the key points in the webinar was that technology is being recognized as different. This isnt the days of Shell Oil. The internet is wider, and the big five of Amazon, Google, Facebook, Apple and Microsoft can all have potentially monopolistic practices in one area while being behind the others in different areas. Understanding the modern business landscape is going to be difficult and will take time.

While the webinar came to the same conclusion, I had going it, that it was too early to make any realistic predictions about what the new Biden administration will do, it is clear that there will be a fresh look taken at antitrust and that will have a potential impact on AI.

On the other side of the pond, the EU continues to increase its focus on AI as a future economic driver. A press release announced yet another AI investment initiative. Two EU groups, the European Investment Bank Group (EIB Group) stated that it has created an instrument to co-invest up to 150 million alongside the European Investment Fund (EIF) in AI, blockchain, IoT and related advanced technologies.

That investment isnt the first and wont be the last. The EU will continue to increase its support of new technologies, and thats a good thing. The US is still drifting a bit but, going back to the Biden administration, I expect an increasing level of funding to help younger companies. Yes, there is already private investment, but governments help focus on issue key to a growing economy and need to be involved. First, because that helps drive technology innovations that are more focused on expected needs. Second, because sometimes driving new technology has wider impact than expected, as how the DARPA investment in creating a network to reach a few universities drove the creation of the infrastructure that drives how youre now reading my writing.

Third, lets circle back to the first paragraph. Non-democracies know the power of technology to help their economies, to compete in international politics, and to control their people so the leaders retain power. China is heavily investing in AI. Based on the last four years of international politics, its also gained an advantage in spreading its business and political footprint into emerging markets. It is critical that the EU, the US, and other nations work on technologies that can help support, improve and spread the types of societies and economies that our own societies feel present the best for both citizens and business. Artificial intelligence is going to have enormous impact on the world, and governments will be competing to define and control that impact.

Read more here:
Governments And Artificial Intelligence, Policy And Investment - Forbes

Read More..

Artificial Intelligence in Government and the Presidential Transition: Building on a Solid Foundation – Nextgov

Artificial intelligence allows computerized systems to perform tasks traditionally requiring human intelligence: analytics, decision support, visual perception and foreign language translation. AI and robotics process automation, or RPA, have the potential to spur economic growth, enhance national security, and improve the quality of life. In a world of Big Data and Thick Data, AI tools can process huge amounts of data in seconds, automating tasks that would take days or longer for human beings to performand the public sector in the United States is at the very beginning of a long-term journey to develop and harness these tools.

The National Academy of Public Administration identified Making Government AI Ready as one of the Grand Challenges in Public Administration. I chaired the Academys Election 2020 Project Working Group on AI. Our reportreleased in August 2020contained a series of practical nonpartisan recommendations for how the administration in 2021 should address this Grand Challenge.

Clearly, our nation is deeply divided, and many citizens are dismissive of science and technology. If citizens dont trust one another, might there be a day when they trust machines more? What will the promises of AI bring and why is this important? And given a large portion of todays society seeming inability to accept facts, can AI one day be used to curtail the spread of conspiracy theories?

Despite the divisiveness of todays political landscape, it is reassuring to note that a cadre of highly dedicated and knowledgeable career public managers have traditionally passed the torch of technology innovation from one administration to another. I expect that this will happen over the next couple of months even amidst current political turmoil.

What are key steps that the incoming Biden administration should take to make the federal government AI-ready? First, it can build upon the progress made on AI during the Trump administration. Of particular importance was the AI executive order issued in February 2019. This order directed the federal government to pursue five goals: invest in AI research and development, unleash AI resources, remove barriers to AI innovation, train an AI-ready workforce, and promote an international environment supportive of American AI innovation and responsible use. Federal agencies were also directed to identify ways that they can enable the use of cloud computing for AI R&D.

Other recommendations include:

It is especially critical for the incoming administration to build a trustworthy AI environment. With a skeptical public, a majority of Americans recognize the need to carefully manage AI, with the greatest importance placed on safeguarding data privacy; protecting against AI-enhanced cyberattacks, surveillance, and data manipulation; and ensuring the safety of autonomous vehicles, accuracy and transparency of disease diagnosis, and the alignment of AI with human values.

And building trust will require an ethical framework. Today we recognize that AI when coupled with huge amounts of (quality) data can be highly useful in identifying patterns, seeking out anomalies, making real-time recommendations based on data inputs, communicating both verbally and in writing, and all the time learning and perfecting. But what happens if the quality of data is found to be flawed and what if it is found that there may be unintended bias in the increasingly complex algorithms?

Implementing these recommendations will require a sustained leadership commitment and steadfast focus, sufficient funding, and both interagency and intergovernmental coordination. I have every reason to believe the great work that started in 2019 will continue its journey for many years to come. And if anyone is seeking a solid example of what AI can do, the current string of breakthrough COVID-19 vaccine announcements was made possible by applying AI towards analyzing the DNA of the virus itself. As a result of massive simulation with combinations and known interactions, a promising cure came about in a mere six months instead of six years.

This is the promise of AI. The incoming administration can build on recent successes and ensure that AI is used to the benefit of all Americans.

Dr. Alan R. Shark is executive director of CompTIAs Public Technology Institute and an associate professor at Schar School of Policy and Government at George Mason University. He is a Fellow of the National Academy of Public Administration, where he is Chair of the Standing Panel on Technology Leadership.

Read more from the original source:
Artificial Intelligence in Government and the Presidential Transition: Building on a Solid Foundation - Nextgov

Read More..