President Obama on Jobs and the Economy
President Obama spoke about jobs and the economy at Honeywell Golden Valley Facility near Minneapolis.
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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 Excellerate 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 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 Excellerate 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 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 Excellerate 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 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 Excellerate 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 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 Excellerate 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 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 Excellerate 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 is another area where AI can be used to Excellerate 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 is revolutionizing the way businesses operate. By using AI, you can Excellerate your efficiency, productivity, and bottom line. If you’re not using AI in your business, now is the time to start.
RESEARCH TRIANGLE PARK – IBM says it will announce plans to invest $20 billion in New York today during a visit by President Joe Biden to its operations in Poughkeepsie.
“IBM is deeply honored to host President Biden at our Poughkeepsie site today and we look forward to highlighting our commitments to the innovations that advance America’s economy,” Arvind Krishna, Chairman and CEO of IBM, said, said in a statement. “As we tackle large-scale technological challenges in climate, energy, transportation and more, we must continue to invest in innovation and discovery – because advanced technologies are key to solving these problems and driving economic prosperity, including better jobs, for millions of Americans.”
No mention was made of any possible investments in North Carolina.
Hatter assimilation: Some Red Hat employees will switch to IBM in consolidation
Big Blue says the investments over 10 years will focus on unlocking “new discoveries and opportunities in semiconductors, computers, hybrid cloud, artificial intelligence and quantum computers.”
The tech giant, which owns Raleigh-based Red Hat and operates a huge campus in Research Triangle Park, also says it will be by what it calls “close collaboration with New York State.”
New York landed a semiconductor plant from Durham-based Wolfspeed through in part broad state incentives. New York also will be the site of a new semiconductor plant from US-based Micron.
IBM notes that it already has some 7,500 employees across the Hudson Valley region and says it has “long called New York state home.”
The company also is looking to cash in on the recently passed CHIPS act that means more than $50 billion in incentives for the semiconductor industry in the U.S. IBM’s chip development efforts are based in New York.
Read the full announcement online: https://newsroom.ibm.com/2022-10-06-IBM-and-CEO-Arvind-Krishna-Welcome-President-Biden-to-Poughkeepsie-Site,-Company-Plans-to-Invest-20-billion-in-the-Hudson-Valley-Region-Over-10-Years
by Maleeha Sofi
SRINAGAR: Kashmiri Institute of Mathematical Science (KIMS) will now be teaching both online and offline. The initiative that has introduced some new study models in Kashmir has been online since 2019.
On October 13, 2022, KIMS members had a long brainstorming session at Aspire Heritage School to devise the future course of action in making upmarket, high-paying professional courses popular. Dr Rukhsaan ul Haq, who is a scientist at IBM, led the discussions.
The meeting was attended by many reputed teachers, researchers, and postgraduate and undergraduate students from diverse science backgrounds. They shared their experiences and offered opinions about the current education system and the prevailing net deficit. They made suggestions for making the new courses popular.
KIMS has been teaching students online various courses about artificial intelligence, data sciences and python for the last three years. They have been guiding students and mentoring them personally. KIMS comprises various scholars from mathematical and physics backgrounds who have immense contributions to their own fields and have a group up to mentor the new generation. Most of them are professionals serving different organisations.
Now, they are keen to start offline teaching. They are planning to reach out to students at school levels, and make the new courses popular by making the school managers and the classrooms aware of the market conditions and the appetite for new courses.
Literally set on a mission to spread awareness about various career options available all over the globe in the new fields, KIMS said they will be clearing the misconceptions in the general public about certain career options.
They intend to popularise career options primarily in Mathematics and Physics and later in other fields too. They are planning to do a teacher’s training programme where they will train teachers about Artificial Intelligence, Data Science, Computation and other allied subjects. Teachers will then be capable of transferring the knowledge to their students. Their vision is to see all the students equipped with knowledge about diversity in the science field in the coming years.
In the last three years, they concluded a number of activities to execute their plan on the ground such as compiling a Mathematics book for elementary-level students and setting up physics labs in every district which will be open to all for experiments among other plans.
KIMS is the first Institute in Kashmir to teach data science, computation, and experimentation. There are only a few such institutes in India. KIMS plans to be the unique among them all.
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 latest 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 latest 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.
While we have seen a trend in latest 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.
Recently Chess.com, the leading platform for online chess, came with shocking revelations in a report claiming that 19-year-old American Grandmaster Hans Niemann “likely cheated” in over 100 online games. Niemann has earlier publicly admitted to cheating but only at two times when he aged 12 and 16 years old. The issue resurfaced after World Champion Magnus Carlsen refused to play against him, apparently alleging that Hans was still cheating.
With technological advances, we have since long developed machines, or say robots, to mimic human body movements. But the use of machines in chess was thought to be complicated, inherently because of what Renaud and Kahn described in their book, the Art of the Checkmate: “Chess is played with the mind and not with the hands!” However, with artificial intelligence advancements, we now have systems which can even imitate our brains and predict chess moves.
ALSO READ: Burden of proof: Hans Niemann ‘likely cheated’ over 100 times, says Chess.com
The world saw artificial intelligence's power in predicting chess moves when the supercomputer Deep Blue, developed by IBM, defeated chess world champion Garry Kasparov in 1997. But with development in computer technology, the computing power became handy for everyone, making the automated chess games widely popular. Now computer chess games have become so common that they are legitimately used for trial games. However, some also use them for malicious purposes.
Chess.com identifies different types of cheating. In its report, the website states some players—typically those who are more inexperienced—use chess engines like Stockfish to determine their every move. This type of cheating is transparent and simple to catch.
Other players, particularly those who compete at Hans’ level, are far more savvy and engage in “selective cheating,” utilising a chess engine to provide guidance only when it is necessary and frequently making deliberate mistakes to hide their use of the engine, the report adds.
Although the entire game played by AI is easy to detect, many games are won or lost in a crucial moment, and having any sort of help during those occasions can turn the result of the game.
The report citied Magnus Carlsen asserting that he would have just needed assistance one or two times during the match to become invincible.
President Biden promoted the CHIPS and Science Act and said it would spur job growth and the economy. He spoke at an IBM factory in Poughkeepsie, New York. The president also remarked that the new legislation would boost investment in research and development and pave the way for the U.S. to lead in technologies such as quantum computing, artificial intelligence, and advanced biotechnology. IBM CEO Arvind Krishna and quality engineering manager Abigail Wise spoke before the president. close
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President Obama spoke about jobs and the economy at Honeywell Golden Valley Facility near Minneapolis.
President Obama spoke about his jobs plan at the Brent Spence Bridge in Cincinnati. He talked about the state of the…
President Obama spoke to workers at the Cree Lighting Manufacturing Company about the U.S. economy and jobs after he…
Vice President Biden gave the weekly President’s address and talked about extending the tax cuts for middle class and…
New Jersey, United States, Oct. 14, 2022 /DigitalJournal/ The Artificial Intelligence (AI) in Energy Market research report provides all the information related to the industry. It gives the markets outlook by giving authentic data to its client which helps to make essential decisions. It gives an overview of the market which includes its definition, applications and developments, and manufacturing technology. This Artificial Intelligence (AI) in Energy market research report tracks all the latest developments and innovations in the market. It gives the data regarding the obstacles while establishing the business and guides to overcome the upcoming challenges and obstacles.
AI optimizes energy networks by managing energy flows between homes, businesses, storage batteries, renewable energy sources, microgrids, and the power grid itself. This reduces energy waste while increasing consumer engagement with energy consumption. The market is driven by rapid power demand and a lack of information networks in power generation. Artificial intelligence (AI) is an extension of computer technology that highlights the formation of intelligent machines that function and react like humans. The energy and utility sector produces and distributes energy consisting of oil and gas, power generation and others.
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Market Segmentation: By Application
Power Industry (Generation,Transmission,Distribution), Oil & Gas Industry (Upstream, Midstream, Downstream),
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Table of Contents
Global Artificial Intelligence (AI) in Energy Market Research Report 2022 – 2029
Chapter 1 Artificial Intelligence (AI) in Energy Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
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Conversational AI is a type of artificial intelligence that enables consumers to interact with computer applications the way they would with other humans. Conversational AI has primarily taken the form of advanced chatbots, or AI chatbots that contrast with conventional chatbots.
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Outlook of the Market:
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Market Segmentation: By Type
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New Jersey, NJ -- (SBWIRE) -- 10/08/2022 -- 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 latest strategic moves and product landscape of Artificial Intelligence (AI) in Insurance market.
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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)
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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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