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Killexams : IBM Intelligence Braindumps - BingNews https://killexams.com/pass4sure/exam-detail/P2170-749 Search results Killexams : IBM Intelligence Braindumps - BingNews https://killexams.com/pass4sure/exam-detail/P2170-749 https://killexams.com/exam_list/IBM Killexams : Artificial Intelligence In Small And Medium Business Market Trends, Business Overview, Industry Growth, and Forecast 2022 To 2028

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

Oct 12, 2022 (The Expresswire) -- According to this latest study, In 2022 the growth of Artificial Intelligence In Small And Medium Business Market is projected to reach Multi-million USD by 2028, In comparison to 2021, Over the next Seven years the Artificial Intelligence In Small And Medium Business Market will register a magnificent spike in CAGR in terms of revenue, In this study, 2021 has been considered as the base year and 2022 to 2028 as the forecast period to estimate the market size for Artificial Intelligence In Small And Medium Business.

Global “Artificial Intelligence In Small And Medium Business Market" Report is a detailed and comprehensive analysis for global Artificial Intelligence In Small And Medium Business market. Both quantitative and qualitative analyses are presented by manufacturers, by region and country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2022, are provided.

Artificial Intelligence In Small And Medium Business Market Research Report is spread across 103 Pages and provides exclusive data, information, vital statistics, trends, and competitive landscape details in this niche sector.

Final Report will add the analysis of the impact of COVID-19 on this industry.

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COVID-19 can affect the global economy in three main ways: by directly affecting production and demand, by creating supply chain and market disruption, and by its financial impact on firms and financial markets. Our analysts monitoring the situation across the globe explains that the market will generate remunerative prospects for producers post COVID-19 crisis. The report aims to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.

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Chapter 3 focuses on analyzing the current competitive situation in the Artificial Intelligence In Small And Medium Business market and provides basic information, market data, product introductions, etc. of leading companies in the industry. At the same time, Chapter 3 includes the highlighted analysis--Strategies for Company to Deal with the Impact of COVID-19, Top Key Players are as follows :

● Google
● Nvidia
● Tesla
● IBM
● Microsoft
● Intel
● Amazon Web Services
● SAP
● Sentient Technologies
● Oracle
● Hewlett Packard Enterprise

Scope Of the Artificial Intelligence In Small And Medium Business Market:

The Global Artificial Intelligence In Small And Medium Business market is anticipated to rise at a considerable rate during the forecast period, between 2022 and 2028. In 2020, the market is growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Artificial Intelligence In Small And Medium Business. The market in North America is expected to grow considerably during the forecast period. The high adoption of advanced technology and the presence of large players in this region are likely to create ample growth opportunities for the market.

Europe also play important roles in global market, with a magnificent growth in CAGR During the Forecast period 2022-2028.

The Artificial Intelligence In Small And Medium Business market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, impact of domestic and global market players, value chain optimization, trade regulations, exact developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

According to our latest research, the global Artificial Intelligence In Small And Medium Business market size will reach USD million in 2028, growing at a CAGR of % over the analysis period.

Global key companies of Artificial Intelligence In Small And Medium Business include Google, Nvidia, Tesla, IBM, and Microsoft, etc. In terms of revenue, the global top four players hold a share over % in 2021.

This report focuses on the Artificial Intelligence In Small And Medium Business in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.

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Report further studies the market development status and future Artificial Intelligence In Small And Medium Business Market trend across the world. Also, it splits Artificial Intelligence In Small And Medium Business market Segmentation by Type and by Applications to fully and deeply research and reveal market profile and prospects.

Chapter 4 provides breakdown data of different types of products, as well as market forecasts.

● On Premises
● On Cloud
● Others

Different application fields have different usage and development prospects of products. Therefore, Chapter 5 provides subdivision data of different application fields and market forecasts.

● IoT
● Predictive Analysis
● CRM
● Others

Chapters 7-26 focus on the regional market. We have selected the most representative 20 countries from ;197 countries in the world and conducted a detailed analysis and overview of the market development of these countries.

● North America (United States, Canada and Mexico) ● Europe (Germany, UK, France, Italy, Russia and Turkey etc.) ● Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam) ● South America (Brazil, Argentina, Columbia etc.) ● Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

This Artificial Intelligence In Small And Medium Business Market Research/Analysis Report Contains Answers to your following Questions

● Which Manufacturing Technology is used for Artificial Intelligence In Small And Medium Business? What Developments Are Going On in That Technology? Which Trends Are Causing These Developments? ● Who Are the Global Key Players in This Artificial Intelligence In Small And Medium Business Market? What are Their Company Profile, Their Product Information, and Contact Information? ● What Was Global Market Status of Artificial Intelligence In Small And Medium Business Market? What Was Capacity, Production Value, Cost and PROFIT of Artificial Intelligence In Small And Medium Business Market? ● What Is Current Market Status of Artificial Intelligence In Small And Medium Business Industry? What’s Market Competition in This Industry, Both Company, and Country Wise? What’s Market Analysis of Artificial Intelligence In Small And Medium Business Market by Taking Applications and Types in Consideration? ● What Are Projections of Global Artificial Intelligence In Small And Medium Business Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about Import and Export? ● What Is Artificial Intelligence In Small And Medium Business Market Chain Analysis by Upstream Raw Materials and Downstream Industry? ● What Is Economic Impact On Artificial Intelligence In Small And Medium Business Industry? What are Global Macroeconomic Environment Analysis Results? What Are Global Macroeconomic Environment Development Trends? ● What Are Market Dynamics of Artificial Intelligence In Small And Medium Business Market? What Are Challenges and Opportunities? ● What Should Be Entry Strategies, Countermeasures to Economic Impact, and Marketing Channels for Artificial Intelligence In Small And Medium Business Industry?

Our research analysts will help you to get customized details for your report, which can be modified in terms of a specific region, application or any statistical details. In addition, we are always willing to comply with the study, which triangulated with your own data to make the market research more comprehensive in your perspective.

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Major Points From Table Of Contents

Global Artificial Intelligence In Small And Medium Business Market Research Report 2022-2028, by Manufacturers, Regions, Types and Applications

1 Introduction

1.1 Objective of the Study

1.2 Definition of the Market

1.3 Market Scope

1.3.1 Market Segment by Type, Application and Marketing Channel

1.3.2 Major Regions Covered (North America, Europe, Asia Pacific, Mid East and Africa)

1.4 Years Considered for the Study (2015-2028)

1.5 Currency Considered (U.S. Dollar)

1.6 Stakeholders

2 Key Findings of the Study

3 Market Dynamics

3.1 Driving Factors for this Market

3.2 Factors Challenging the Market

3.3 Opportunities of the Global Artificial Intelligence In Small And Medium Business Market (Regions, Growing/Emerging Downstream Market Analysis)

3.4 Technological and Market Developments in the Artificial Intelligence In Small And Medium Business Market

3.5 Industry News by Region

3.6 Regulatory Scenario by Region/Country

3.7 Market Investment Scenario Strategic Recommendations Analysis

4 Value Chain of the Artificial Intelligence In Small And Medium Business Market

4.1 Value Chain Status

4.2 Upstream Raw Material Analysis

4.3 Midstream Major Company Analysis (by Manufacturing Base, by Product Type)

4.4 Distributors/Traders

4.5 Downstream Major Customer Analysis (by Region)

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5 Global Artificial Intelligence In Small And Medium Business Market-Segmentation by Type

6 Global Artificial Intelligence In Small And Medium Business Market-Segmentation by Application

7 Global Artificial Intelligence In Small And Medium Business Market-Segmentation by Marketing Channel

7.1 Traditional Marketing Channel (Offline)

7.2 Online Channel

8 Competitive Intelligence Company Profiles

9 Global Artificial Intelligence In Small And Medium Business Market-Segmentation by Geography

9.1 North America

9.2 Europe

9.3 Asia-Pacific

9.4 Latin America

9.5 Middle East and Africa

10 Future Forecast of the Global Artificial Intelligence In Small And Medium Business Market from 2022-2028

10.1 Future Forecast of the Global Artificial Intelligence In Small And Medium Business Market from 2022-2028 Segment by Region

10.2 Global Artificial Intelligence In Small And Medium Business Production and Growth Rate Forecast by Type (2022-2028)

10.3 Global Artificial Intelligence In Small And Medium Business Consumption and Growth Rate Forecast by Application (2022-2028)

11 Appendix

11.1 Methodology

11.2 Research Data Source

Continued….

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Killexams : Artificial Intelligence In Military Market Latest Trends, Industry Size and Future Prospects 2028| Lockheed Martin, Raytheon, Northrop Grumman, IBM

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

Oct 13, 2022 (Heraldkeepers) -- The Artificial Intelligence In Military Market research report encompasses a thorough study of the current situation of the global market along with several market dynamics. To formulate this report, detailed analysis has been performed with inputs from industry experts. Depending on the client's demand, a huge amount of business and market-related information has been brought together via this report that eventually helps businesses create better strategies. All of these features are strictly applied while building this Global Artificial Intelligence In Military Market research report for a client. It gives an explanation about various definitions and segmentation or classifications of the industry, application of the industry, and value chain structure.

The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived it by segment aggregation, the contribution of the materials and vendor share.

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Companies involved in the Global Artificial Intelligence In Military Market research report are:

Lockheed Martin, Raytheon, Northrop Grumman, IBM, Thales Group, General Dynamics, NVIDIA, BAE Systems, Leidos, SAIC, SparkCognition, Charles River Analytics, L3 Harris

Artificial Intelligence In Military Market, By Segmentation:

Artificial Intelligence In Military Market segment by Type:
Learning and Intelligence
Advanced Computing
AI Systems

Artificial Intelligence In Military Market segment by Application:
Information Processing
Cyber Security
Others

Geographic Segment Covered in the Report:
The Global Artificial Intelligence In Military Market growth report offer insights and statistics about the market area which is further also divided into sub-regions and countries. For the purpose of this study, the report has been segmented into following regions and countries:-

1. North America (USA and Canada)
2. Europe (UK, Germany, France and the rest of Europe)
3. Asia Pacific (China, Japan, India, and the rest of the Asia Pacific region)
4. Latin America (Brazil, Mexico, and the rest of Latin America)
5. Middle East and Africa (GCC and rest of the Middle East and Africa)

The Global Artificial Intelligence In Military Market size report provides answers to the following key questions:

1. Which are Trending factors influencing the market shares of the top regions across the globe? What is the impact of Covid19 on the current industry? What is economic impact on market?
2. When is the recovery expected from the pandemic?
3. Which segments offer high-growth opportunities in the long run?
4. What are the key outcomes of the five forces analysis of the global market?
5. What are sales, revenue, and price analysis by regions of this market?

Highlights of the Global Artificial Intelligence In Military Market Report:
Market Development: Comprehensive information about emerging industry. This report analyses for various segments across geographies.
Development/Innovation: Detailed insights on the upcoming technologies, RandD activities, and product launches in the market.
Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the industry.
Market Diversification: Exhaustive information about new launching, untapped geographies, exact developments, and investments in the market.

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Thu, 13 Oct 2022 00:41:00 -0500 en-US text/html https://www.marketwatch.com/press-release/artificial-intelligence-in-military-market-latest-trends-industry-size-and-future-prospects-2028-lockheed-martin-raytheon-northrop-grumman-ibm-2022-10-13
Killexams : International Business Machines Corp

52 week range

114.56 - 144.73

  • Open121.80
  • Day High122.19
  • Day Low121.43
  • Prev Close120.04
  • 52 Week High144.73
  • 52 Week High Date06/06/22
  • 52 Week Low114.56
  • 52 Week Low Date11/26/21
  • Market Cap110.319B
  • Shares Out903.18M
  • 10 Day Average Volume4.46M
  • Dividend6.60
  • Dividend Yield5.40%
  • Beta0.83
  • YTD % Change-10.19

KEY STATS

  • Open121.80
  • Day High122.19
  • Day Low121.43
  • Prev Close120.04
  • 52 Week High144.73
  • 52 Week High Date06/06/22
  • 52 Week Low114.56
  • 52 Week Low Date11/26/21
  • Market Cap110.319B
  • Shares Out903.18M
  • 10 Day Average Volume4.46M
  • Dividend6.60
  • Dividend Yield5.40%
  • Beta0.83
  • YTD % Change-10.19

RATIOS/PROFITABILITY

  • EPS (TTM)6.42
  • P/E (TTM)19.02
  • Fwd P/E (NTM)12.52
  • EBITDA (TTM)11.935B
  • ROE (TTM)27.73%
  • Revenue (TTM)59.677B
  • Gross Margin (TTM)54.01%
  • Net Margin (TTM)9.61%
  • Debt To Equity (MRQ)259.21%

EVENTS

  • Earnings Date10/19/2022
  • Ex Div Date08/09/2022
  • Div Amount1.65
  • Split Date-
  • Split Factor-

Thu, 13 Oct 2022 11:59:00 -0500 en text/html https://www.cnbc.com/quotes/IBM
Killexams : IBM integrates business intelligence and data science with new major update to Cognos Analytics

More enterprises are on a quest to use artificial intelligence as a competitive advantage. IBM is on a mission to make this easier and more accessible for any organization via the cloud. The company has announced a new version of its Cognos Analytics solution, which integrates business intelligence and data science technologies into a suite of tools available on IBM Cloud.

The key new features of this release are a new AI Assistant and pattern detection capability. The AI Assistant enables users to make queries and then receive results in natural language. According to IBM, this makes it easier to not only look for answers, but understand where they come in.

Pattern detection identifies and presents critical relationships within data, pointing out patterns that may not have been considered previously. By detecting patterns, the system can eliminate blind spots or guesswork in analysis, the company explained.

“When combined with the foundational governance and trust capabilities built into Cognos Analytics, which provide data policy, relevancy, integrity and security, AI Assistant and pattern detection will deliver users not only fast access to insights, but added confidence in the results,” Greg Adams, vice president of development for business analytics at IBM, wrote in a post.

This version also adds storytelling, which allows users to create interactive narratives by assembling visualizations into a sequence and then enhancing it with media, web pages, images, shapes, and test.

Smart exploration will help users be able to better understand what’s behind their results by analyzing it with machine learning and pattern detection. The system will also recommend the most useful visualization of results through a multi-stage recommendation system.

The system assembles new content quickly by re-using relevant components from existing dashboards.

Finally, it has advanced analytics that include predictive analytics, the ability to identify data patterns and variables driving a certain outcome, smart annotation, and natural language generated insights of data.

“Analytics, data science and business intelligence, have become table stakes in the business world,” wrote Adams. “They’re part of the fundamental building blocks, or rungs in the Ladder to AI, as we talk about. And we’ve worked hard to make these sophisticated, complicated technologies easy to access, easy to use, and easy to comprehend for just about any – all via the IBM Cloud. We think organizations the world over will see real value in it and begin making even better, more strategic decisions to propel their businesses into the future.”

Mon, 26 Sep 2022 11:59:00 -0500 en-US text/html https://sdtimes.com/data/ibm-integrates-business-intelligence-and-data-science-with-new-major-update-to-cognos-analytics/
Killexams : From Chatbots to Predictive Analytics: 6 Ways AI Can Help Your Business

Artificial intelligence, or AI, is one of the most talked about technologies today. And for a good reason – it has the potential to change the way we live and work. In business, there are endless ways that AI can be used to Improve efficiency, productivity, and performance. From chatbots that can answer customer questions to predictive analytics that can help you make better decisions, AI has a lot to offer businesses of all sizes. In this blog post, we will explore six ways that AI can help your business succeed!

Chatbots

Chatbots are one of the most popular applications of AI in business. By using natural language processing (NLP), chatbots can understand human conversation and respond in a way that is natural and engaging. This technology can be used to provide customer support, answer questions about your products or services, and even make sales. Chatbots are available 24/seven, which means they can help you increase sales and improve customer satisfaction without requiring additional staff. There are many different platforms that offer chatbot services, such as Dialogflow, IBM Watson, Microsoft Bot Framework, and Amazon Lex. To find the right platform for your business, consider your needs and budget. Small businesses can benefit from chatbots in many ways. For example, a chatbot can be used to answer frequently asked questions, freeing up your customer service team to handle more complex inquiries. Chatbots can also be used to make recommendations, such as products or services that might interest the customer. In addition, chatbots can be used to collect data about your customers. This information can be used to Improve your marketing and sales strategies. For example, if you know that a certain type of customer is interested in a certain product, you can target them with personalized messages and offers. Chatbots are an AI technology that small businesses should definitely consider implementing.

Predictive Analytics

Predictive analytics is a type of AI that analyzes data to make predictions about future events. This technology can be used in a variety of different ways, such as identifying trends, detecting risks, and making recommendations. Predictive analytics can be used to Improve your marketing efforts. For example, by analyzing customer data, you can identify patterns and trends that can help you target your marketing messages more effectively. You can also use predictive analytics to segment your customers based on their likelihood to purchase certain products or services. In addition, predictive analytics can be used to detect risks before they happen. For example, if you have a large amount of data about your customers, you could use AI to identify which ones are at risk of churning. By detecting these risks early, you can take steps to prevent them from happening. Predictive analytics is a powerful AI technology that all businesses should be using. If you’re not using predictive analytics in your business, now is the time to start.

Virtual Assistants

Virtual assistants are another popular application of AI in business. Virtual assistants, or VAs, are computer programs that can perform tasks such as scheduling appointments, sending emails, and making phone calls. There are many different virtual assistant platforms available, such as Google Assistant, Amazon Alexa, and Apple Siri. To find the right platform for your business, consider your needs and budget. Virtual assistants can be used in a variety of different ways to Improve efficiency and productivity in your business. For example, you can use a virtual assistant to schedule meeting rooms, book travel arrangements, or manage your email inbox. Virtual assistants can also be used to handle customer service inquiries or take care of administrative tasks. In addition to improving efficiency, virtual assistants can also help you save money. For example, by using a VA to handle customer service inquiries, you can free up your staff to focus on other tasks. VAs can also be used to automate repetitive tasks that would otherwise need to be done by human employees. If you’re not using virtual assistants in your business, now is the time to start.

Recommendation Engines

Recommendation engines are a type of AI that analyzes data to make recommendations. This technology is commonly used by online businesses, such as eCommerce stores and streaming services. Recommendation engines can be used in a variety of different ways to Improve your business. For example, you can use a recommendation engine to suggest products or services to your customers. You can also use recommendation engines to segment your customers based on their interests and preferences. In addition, recommendation engines can be used to improve your marketing efforts. For example, by analyzing customer data, you can identify patterns and trends that can help you target your marketing messages more effectively. You can also use recommendation engines to create personalized messages for your customers.

Text Analysis

Text analysis is a type of AI that analyzes text data to extract information. This technology can be used in a variety of different ways, such as identifying trends, detecting sentiment, and making recommendations. Text analysis can be used to Improve your marketing efforts. For example, by analyzing customer reviews, you can identify patterns and trends that can help you target your marketing messages more effectively. You can also use text analysis to create personalized messages for your customers. In addition, text analysis can be used to detect sentiment. For example, if you have a large amount of data about your customers, you could use AI to identify which ones are unhappy with your product or service. By detecting these sentiments early, you can take steps to prevent them from happening. If you’re not using text analysis in your business, now is the time to start.

Website Building and Design

Website building and design is another area where AI can be used to Improve your business. In the past, building a website was a time-consuming and expensive process. However, with the advent of AI, you can now build a website in a fraction of the time and cost. In addition to being faster and cheaper, AI Website builder are also more likely to be successful. This is because AI takes into account user experience when designing and building websites. As a result, websites built with AI are more likely to be user-friendly and engaging. If you’re not using AI to build your website, now is the time to start.

AI Predictive Analytics

AI is revolutionizing the way businesses operate. By using AI, you can Improve your efficiency, productivity, and bottom line. If you’re not using AI in your business, now is the time to start.

Sun, 09 Oct 2022 19:36:00 -0500 Angela Scott-Briggs en-US text/html https://techbullion.com/from-chatbots-to-predictive-analytics-6-ways-ai-can-help-your-business/
Killexams : Artificial Intelligence In Manufacturing Market Astonishing Growth with Top Influencing Key Players like IBM, SAS, SAP SE, Siemens, Oracle, Microsoft

Artificial intelligence in manufacturing - Business Going Digital

 Latest research on Artificial Intelligence In Manufacturing Market report covers forecast and analysis on a worldwide, regional and country level. The study provides historical information of 2016-2020 together with a forecast from 2022 to 2027 supported by both volume and revenue (USD million). The entire study covers the key drivers and restraints for the Artificial Intelligence In Manufacturing market. This report included a special section on the Impact of COVID19. Also, Artificial Intelligence In Manufacturing Market (By major Key Players, By Types, By Applications, and Leading Regions) Segment’s outlook, Business assessment, Competition scenario and Trends.

The Artificial Intelligence In Manufacturing Market is expected to register a CAGR of around 22.5%, during the forecast period 2022 to 2027

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The report presents the market competitive landscape and a corresponding detailed analysis of the major vendor/key players in the market. Top Companies in the Global Artificial Intelligence In Manufacturings Market: – IBM, SAS, SAP SE, Siemens, Oracle, Microsoft, Mitsubishi Electric Corporation, Huawei, General Electric Company, Intel, Amazon Web Services, Google, Cisco Systems, PROGRESS DataRPM, Salesforce, NVIDIA, Autodesk

Market Overview:

The exact advancements in AI have enhanced the Cobots to run operations more smoothly in dynamically changing workplaces such as manufacturing. Innovations in robotics have made Cobots more compatible, safer, and cost-effective. Cobots use computer vision technology to quickly examine huge quantities of the flaws and avoid hazards using its predictive intelligence. Cobots integrated with AI are used in industries for repetitive and dangerous tasks, making it safer and efficient for human counterparts.

The manufacturing industry process involves continuous improvement, i.e. present work process can be upgraded by utilizing advanced technologies such as AI, IoT, and machine learning, among others. The Cobots can add a meaningful contribution to its implementation by detecting the changing condition on the floor and accordingly monitor and optimize its further operations. Additionally, Cobots can inspect the testing equipment, diagnose failure condition, read its result, and accordingly make changes in its decisions. This is likely to gain the attention of many manufacturers owing to the rising demand for customization.

Recent Development:

March 2020 – Siemens collaborated with NEC Corporation to provide manufacturing industries analysis solutions and AI monitoring to accelerate digitization. This will offer manufacturing industries an easy to visualize and analyze the huge generated data sets. AI will help to model large and complex process to increase the productivity.

This report segments the market on thse basis of Types are:

PLC
SCADA|HMI
MES
ERP

On the basis of Application, the market is segmented into:

Ferrous Metallurgy
Non-ferrous Metallurgy
Mining
Oil and Gas
Chemical
Others

For More Information On This Report, Please Visit: https://www.marketinsightsreports.com/reports/09199633713/global-artificial-intelligence-in-manufacturing-market-research-report-2022-impact-of-covid-19-on-the-market?Mode=130

Regional Analysis For Artificial Intelligence In Manufacturing Market:

For comprehensive understanding of market dynamics, the global Artificial Intelligence In Manufacturing market is analyzed across key geographies namely:

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Asia Pacific is expected to grow with the highest CAGR for the forecast period. The governments of China, Japan, Singapore and India are investing in artificial intelligence and also boosting the AI in manufacturing industry for smart factories and Industry 4.0. China has invested USD 150 billion on its Artificial Intelligence Development Plan for its national AI industries and with an aim to become AI super leader by 2030. AI in the China manufacturing industry is likely to have great opportunities owing to the rising adoption of smart factory technology.

Europe is growing next in line after Asia Pacific during the forecast period. UK is likely to grow significantly owing to its big investments of about USD 1.3 Billion in artificial intelligence technology. The country is also investing in sponsoring education programs for AI graduates, along with players such as Google’s Deepmind, BAE Systems and Cisco Systems.

Each of these regions is analyzed on basis of market findings across major countries in these regions for a macro-level understanding of the market.

Key Points of Artificial Intelligence In Manufacturing Market Table of Contents:

Market Overview: The report begins with this section where a product overview and key content on the product and application segments of the global Halal Foods market are provided. The highlights of the segmentation study include price, revenue, sales, sales growth rate, and market share by product.

Competition by company: Here we analyze the competition of the global Artificial Intelligence In Manufacturing market, by company price, revenue, sales and market share, market share, competitive landscape, and latest trends, mergers, expansions, acquisitions, and market share of top companies.

Company Profile and Sales Data: As the name suggests, this section provides sales data and useful information about the business of key players in the global Artificial Intelligence In Manufacturings market. It describes the key businesses of gross margin, price, revenue, products and specifications, types, applications, competitors, manufacturing base, and key players operating in the global Artificial Intelligence In Manufacturing market.

Market Forecast: Here the report provides a full forecast for the global Artificial Intelligence In Manufacturing market by product, application, and region. It also provides global sales and revenue forecasts for all years in the forecast period.

Research Results and Conclusion: One of the last sections of the report where analyst findings and findings are provided.

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Thu, 06 Oct 2022 12:00:00 -0500 Xherald en-US text/html https://www.digitaljournal.com/pr/artificial-intelligence-in-manufacturing-market-astonishing-growth-with-top-influencing-key-players-like-ibm-sas-sap-se-siemens-oracle-microsoft
Killexams : Artificial Intelligence in Energy Market Market Still Has Room to Grow | Siemens, Schneider Electric, IBM, General Electric

The latest study released on the Global Artificial Intelligence in Energy Market by AMA Research evaluates market size, trend, and forecast to 2027. The Artificial Intelligence in Energy market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

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Key Players in This Report Include:

Alphabet (United States), General Electric (United States), Siemens (Germany), Watty (Sweden), IBM (United States), Schneider Electric (France), BuildingIQ (United States), ABB (Switzerland), Grid4C (United States)

Definition:

Artificial intelligence in the energy sector is now reaching emerging markets, where it may have a critical impact, as clean, cheap, and reliable energy is essential to development. Artificial intelligence technologies are closely tied to the ability to provide clean and cheap energy that is essential to development. Increasing demand for artificial intelligence in the energy sector from developed nations that allow for communication between smart grids, smart meters, and Internet of Things devices is propelling the growth of the global artificial intelligence in the energy market.

Market Trends:
Increasing Use of Machine Learning

Market Drivers:
Lack of Analytics Needed for Optimal Management
Rising Demand for Energy across the Globe

Market Opportunities:
Technological Advancement and Development in Artificial Intelligence in Energy

The Global Artificial Intelligence in Energy Market segments and Market Data Break Down are illuminated below:

by Type (Software, Hardware, Services), Application (Fault Prediction, Maintenance Facilitated by Image Processing, Energy Efficiency Decision Making, Disaster Recovery, Prevention of Losses Due to Informal Connections), Organization Size (Small and Medium Size Organization, Large Size Organization), Deployment (Cloud-based, On-premise)

Global Artificial Intelligence in Energy market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:

The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)

North America (United States, Mexico & Canada)

South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)

Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)

Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report:

-To carefully analyze and forecast the size of the Artificial Intelligence in Energy market by value and volume.

-To estimate the market shares of major segments of the Artificial Intelligence in Energy

-To showcase the development of the Artificial Intelligence in Energy market in different parts of the world.

-To analyze and study micro-markets in terms of their contributions to the Artificial Intelligence in Energy market, their prospects, and individual growth trends.

-To offer precise and useful details about factors affecting the growth of the Artificial Intelligence in Energy

-To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Artificial Intelligence in Energy market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

Buy Complete Assessment of Artificial Intelligence in Energy market Now @ https://www.advancemarketanalytics.com/buy-now?format=1&report=115268#utm_source=DigitalJournalShraddha

Major highlights from Table of Contents:

Artificial Intelligence in Energy Market Study Coverage:

It includes major manufacturers, emerging player’s growth story, and major business segments of Artificial Intelligence in Energy market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.

Artificial Intelligence in Energy Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.

Artificial Intelligence in Energy Market Production by Region Artificial Intelligence in Energy Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.

Key Points Covered in Artificial Intelligence in Energy Market Report:

Artificial Intelligence in Energy Overview, Definition and Classification Market drivers and barriers

Artificial Intelligence in Energy Market Competition by Manufacturers

Impact Analysis of COVID-19 on Artificial Intelligence in Energy Market

Artificial Intelligence in Energy Capacity, Production, Revenue (Value) by Region (2022-2027)

Artificial Intelligence in Energy Supply (Production), Consumption, Export, Import by Region (2022-2027)

Artificial Intelligence in Energy Manufacturers Profiles/Analysis Artificial Intelligence in Energy  Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing

Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

Browse Complete Summary and Table of Content @ https://www.advancemarketanalytics.com/reports/115268-global-artificial-intelligence-in-energy-market#utm_source=DigitalJournalShraddha

Key questions answered:

How feasible is Artificial Intelligence in Energy market for long-term investment?

What are influencing factors driving the demand for Artificial Intelligence in Energy near future?

What is the impact analysis of various factors in the Global Artificial Intelligence in Energy market growth?

What are the exact trends in the regional market and how successful they are?

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

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Tue, 04 Oct 2022 02:00:00 -0500 Newsmantraa en-US text/html https://www.digitaljournal.com/pr/artificial-intelligence-in-energy-market-market-still-has-room-to-grow-siemens-schneider-electric-ibm-general-electric
Killexams : Artificial Intelligence (AI) in Insurance Market May See a Big Move : Google, Microsoft , IBM: Long Term Growth Story

New Jersey, NJ -- (SBWIRE) -- 10/10/2022 -- The Global Artificial Intelligence (AI) in Insurance Market Report assesses developments relevant to the insurance industry and identifies key risks and vulnerabilities for the Artificial Intelligence (AI) in Insurance Industry to make stakeholders aware with current and future scenarios. To derive complete assessment and market estimates a wide list of Insurers, aggregators, agency were considered in the coverage; Some of the top players profiled are Google, Microsoft Corporation, Amazon Web Services Inc, IBM Corporation, Avaamo Inc, Baidu Inc, Cape Analytics LLC, Oracle Corporation & ?Artificial Intelligence (AI) in InsuranceMarket Scope and Market Breakdown.

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

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

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

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

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

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

Research Approach & Assumptions:

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

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

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

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

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Mon, 10 Oct 2022 09:21:00 -0500 en-US text/html https://insurancenewsnet.com/oarticle/artificial-intelligence-ai-in-insurance-market-may-see-a-big-move-google-microsoft-ibm-long-term-growth-story-66
Killexams : Is a Rochester legend about a wartime friendship and IBM accurate?

Dear Brainiac,

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

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

Looking for Big Blue’s clues

Dear clueless,

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

Unfortunately, it might not be completely accurate.

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

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

Post Bulletin file photo

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

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

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

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

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

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

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

Contributed

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

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

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

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

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

It's still a good story.

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

Mon, 26 Sep 2022 01:14:00 -0500 en text/html https://www.postbulletin.com/news/local/is-a-rochester-legend-about-a-wartime-friendship-and-ibm-accurate
Killexams : IBM Bids Farewell to Watson Health Assets

IBM shook up the digital health space Friday with the news that it is selling its healthcare data and analytics assets, currently part of the Watson Health business, to an investment firm. The sale price is reportedly more than $1 billion, although the companies are not officially disclosing the financial terms.

There are a lot of interesting factors to consider as we unpack this news, although some thought leaders say the divestiture did not come as a surprise.

“The Watson Health sale has been anticipated for quite some time. IBM was clearly not gaining much traction in the healthcare market while others such as Google and Microsoft have pulled ahead. Even Oracle has made a big splash in healthcare with its exact announcement to acquire Cerner," said Paddy Padmanabhan, founder and CEO of Damo Consulting, a growth strategy and digital transformation advisory firm that works with healthcare and technology companies.

IBM was one of the first big tech companies to dive into healthcare with its well-known Watson Health supercomputer known for defeating the greatest champions on “Jeopardy!" The platform created a lot of buzz back in 2011, and many people had high hopes for the platform's potential applications in healthcare. In exact years, however, that buzz has significantly died down.

"In the current competitive landscape, IBM would not be considered a significant player in healthcare. Selling off the data assets essentially means an end to the Watson Health experiment; however, it may allow IBM as an organization to refocus and develop a new approach to healthcare,” Padmanabhan said.

Assuming there are no regulatory snags, the deal is expected to close in the second quarter of this year.

“Today’s agreement with Francisco Partners is a clear next step as IBM becomes even more focused on our platform-based hybrid cloud and AI strategy,” said Tom Rosamilia, senior vice president of IBM Software. “IBM remains committed to Watson, our broader AI business, and to the clients and partners we support in healthcare IT. Through this transaction, Francisco Partners acquires data and analytics assets that will benefit from the enhanced investment and expertise of a healthcare industry focused portfolio.”

The agreement calls for the current management team to continue in similar roles in the new standalone company, serving existing clients in life sciences, provider, imaging, payer and employer, and government health and human services sectors.

“We have followed IBM’s journey in healthcare data and analytics for a number of years and have a deep appreciation for its portfolio of innovative healthcare products,” said Ezra Perlman, co-president at Francisco Partners. “IBM built a market-leading team and provides its customers with mission critical products and outstanding service.”

In 2016 IBM doubled the size of its Watson Health business through the $2.6 billion acquisition of Truven Health Analytics. Truven offers healthcare data services targeted at employers, hospitals, and drug companies, and makes software that can parse through millions of patient records. Truven's main offices are in Ann Arbor, MI, Chicago, and Denver. At the time of the acquisition, Truven had around 2,500 employees.

The Truven deal followed other major healthcare acquisitions in the company, including Cleveland-based Explorys, Dallas-based Phytel, and Chicago-based Merge Healthcare. The company paid about $1 billion for Merge.

IBM said the assets acquired by Francisco Partners include extensive and diverse data sets and products, including Health Insights, MarketScan, Clinical Development, Social Program Management, Micromedex, and imaging software offerings.

Padmanabhan said it will be interesting to see how the new owners are able to leverage those data assets.

“IBM’s decision to sell its data assets is an indication that it’s not just enough to have the data. Applying advanced analytics on the data to generate insights that can make a difference in real-world applications is where the true value lies. IBM had several missteps early on, especially in cancer care applications, that created significant setbacks for the business that they could not recover from.

In 2018, the Watson Health business went through a round of layoffs. The company declined to tell MD+DI at the time how many of employees were let go other than to say it was a "small percentage" of the global business, but online commenters on TheLayoff.com and Watching IBM, along with multiple news reports citing unnamed sources from within the organization painted a different picture of the situation. One Dallas-based commenter on TheLayoff.com said that "we all knew it was coming but nobody expected it to be this fast and rampant," while another commenter estimated that 80% of that same Dallas-based office was let go.

Is healthcare just too hard for big tech?

While we have seen a trend in exact years with big tech firms showing an interest in healthcare, some of those companies are finding those efforts to be easier said than done. 
 
“IBM’s decision to sell the Watson Health assets is another instance of a big tech firm acknowledging the challenges of the healthcare space. Last year, Google and Apple had significant setbacks, and Amazon has acknowledged challenges in scaling its Amazon Care business," Padmanabhan said. "In IBM’s case, they have missed out on the cloud opportunity and have lagged behind peers in emerging technology areas such as voice. While IBM’s challenges with Watson Health may have been unique to the organization, the fact is that big tech firms have multiple irons in the fire at any time, and for some healthcare may just be too hard.”

Padmanabhan does not think, however, that IBM's decision to sell the Watson Health assets is an indictment of the promise of AI in healthcare.

"Our research indicates AI was one of the top technology investments for health systems in 2021," he said. "Sure, there are challenges such as data quality and bias in the application of AI in the healthcare context, but by and large there has been progress with AI in healthcare. The emergence of other players, notably Google with its Mayo Partnership, or Microsoft with its partnership with healthcare industry consortium Truveta are strong indicators of progress."
 
Padmanabhan is co-author with Edward W. Marx, of Healthcare Digital Transformation: How Consumerism, Technology and Pandemic are Accelerating the Future (2020), and the host of The Big Unlock, a podcast focusing on healthcare digital transformation.

Wed, 12 Oct 2022 12:00:00 -0500 en text/html https://www.mddionline.com/artificial-intelligence/ibm-bids-farewell-watson-health-assets
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