BOULDER, Colo.--(BUSINESS WIRE)--Today Tractica announced the launch of its new Artificial Intelligence Advisory Service, a subscription-based market research and analysis suite that provides independent and objective market intelligence and strategy insights for companies engaged in the rapidly evolving artificial intelligence (AI) market. As part of the service, Tractica's global industry analyst team provides strategic and quantitative analysis focused on the market opportunity for AI technologies in enterprise, consumer, and government markets. Research reports include an in-depth examination of AI business models, use cases, technology issues, and key industry players in addition to detailed market sizing, segmentation, and forecasts. Tractica's Artificial Intelligence Advisory Service examines use cases and business models for the application of artificial intelligence technologies in enterprise, consumer, and government markets.

BOULDER, Colo.--(BUSINESS WIRE)--Today Tractica announced the launch of its new Artificial Intelligence Advisory Service, a subscription-based market research and analysis suite that provides independent and objective market intelligence and strategy insights for companies engaged in the rapidly evolving artificial intelligence (AI) market. As part of the service, Tractica's global industry analyst team provides strategic and quantitative analysis focused on the market opportunity for AI technologies in enterprise, consumer, and government markets. "Artificial intelligence technologies are already beginning to have a disruptive effect on established business models across virtually every industry, while simultaneously enabling new business processes that were not previously possible," says managing director Clint Wheelock. "Rapid advances in AI technologies like deep learning, machine learning, computer vision, and natural language processing (NLP) are being enabled by more powerful hardware, sophisticated algorithms, and a virtually limitless ocean of data to analyze and interpret." As part of its Artificial Intelligence service, Tractica's industry analysts offer timely and actionable market insights, covering specific technology and industry sectors as well as overall market conditions and trends.

Salesforce is really laying on the jargon when it comes to Einstein, an artificial-intelligence addition to the CRM giant's entire product line set to be announced Monday. "Einstein's models will be powered by advanced machine learning, deep learning, predictive analytics, natural language processing and smart data discovery," according to a Salesforce press release. But AI is red-hot right now, and it must be said that Salesforce has paid dearly for the right to use such language. It has spent 650 million buying a dozen companies to acquire their staff and technology, chairman and CEO Marc Benioff said last week. The word "Einstein" will be appended to each of Salesforce's eight product offerings. Details will be fully shared at the annual Dreamforce users' conference Oct. 4-7 in San Francisco, but for now, here's a partial list of what Salesforce says that will mean in practice.

The company has also gone on to announce the formation of Salesforce Research, a unit which will do the research in deep learning, natural language processing along with computer vision, which can be used, so as to improve Salesforce products. The unit which is led by Salesforce chief scientist Richard Socher, formerly Co-Founder and Chief Executive of AI startup MetaMind, which Salesforce acquired earlier this year. In a press briefing in San Francisco, earlier this week, Socher goes on to decline to make up a statement on how many people were part of the team, although he did go on to state that some of Salesforce's 175 data scientists have gone on to join the newly organized division.

June 1, 2016, The Internet of Things topped the target list for developers working with artificial intelligence across a wide spectrum of technologies including machine learning, neural networks, deep learning, and pattern recognition, according to Evans Data's just released Global Development Survey. While targets for these technologies remain fragmented, IoT was the top target for all of them and in most cases the only target with a double digit response. Non-computer related professional, scientific and technical services was cited second as a target for the above disciplines, and was first in the category of Natural Language Processing. "All the related disciplines that are commonly lumped together as artificial intelligence are being stimulated by the burgeoning growth of Internet of Things," said Janel Garvin, CEO of Evans Data. "These technologies are being incorporated very rapidly into the design and development process across a host of industries, and types of applications, but it's IoT that is the strongest driver."

A team of researchers at the Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) in Boston have been working on developing artificial intelligence (AI) tools with potential to significantly change and improve accuracy in cancer and other disease diagnosis. Noting that pathology methods for diagnosing disease have stayed largely the same for the past 100 years with tissue samples manually reviewed under a microscope, the investigative work suggests diagnostic accuracy can be improved by using computers to interpret pathology images. "Our AI method is based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," said Dr. Andrew Beck director of Bioinformatics at the Cancer Research Institute at Beth Israel Deaconess Medical Center (BIDMC) in press release. Beck, who is also an associate professor at Harvard Medical School said the approach teaches machines to interpret the complex patterns and structure observed in real-life data by building multi-layer artificial neural networks thought to be similar to how the learning occurs in the brain neocortex, where thinking occurs. The Beck lab's approach was recently tested in a competition at the annual meeting of the International Symposium of Biomedical Imaging (ISBI) held in Prague, Czech Republic, in April. The test task involved examining lymph node images to determine whether or not breast cancer was present.

Mizuho Bank and Softbank Group Corp. on Thursday agreed to set up a 50-50 joint company to provide loans to consumers using artificial intelligence technology. Using customers' business histories with both firms for credit screening, the new firm will provide an innovative, attractive loan service through low-cost operations without outlets, Mizuho Bank and Softbank said. Capitalized at 5 billion, the new company will be established in November. Its operations are seen starting in the first half of 2017. Inc., the parent of Mizuho Bank, and Softbank President Masayoshi Son announced the launch of the new company at a press conference in Tokyo.

Data scientists are in short supply. But so too are managers that understand data science and machine learning enough to spot the opportunities for using these disciplines to optimize their businesses. McKinsey Global Institute has projected that by 2018, the U.S. alone will face a shortage of 1.5 million managers and analysts with the necessary analytics and data science expertise to fill demand. To combat this problem, Data science automation specialist DataRobot announced today that it has updated its DataRobot University curriculum with Data Science for Executives, a half-day offering that teaches executives interested in the benefits of advanced data science how to identify opportunities to optimize their business using machine learning. "If you look at the success of future companies, we think it's dependent on three things," says Jeremy Achin, co-founder and CEO of DataRobot.

Nomis Solutions today announced that Frank Rohde, the President and CEO of Nomis will be participating in a panel discussion entitled, "Artificial Intelligence (AI) vs. Humans in Banking" at Banking Disrupted, a leadership summit to be held at the Silicon Valley Elks Lodge in Palo Alto, CA. on Sept. 14 -15, 2016. The panel discussion will begin at 2:45 pm on Sept. 14, 2016 and include executives and user experience professionals from leading technology companies including GainX, ecosystem.AI and WiseBanyan. Algorithms and apps could replace half of banking jobs over the next 10 years, according to some forecasts. At the same time, people still prefer person-to-person interactions when it comes to big financial decisions. The panel will address some key questions including: how AI will change banking, and if the human touch will still be necessary in the future.

IBM (NYSE: IBM) today announced THINK Marketing, a new one-stop destination for marketers to gain knowledge, learn skills and ultimately drive a digital transformation within their business. Designed to help Chief Marketing Officers (CMO) and their teams build proficiency and experience, THINK Marketing delivers news and thought leadership content from the industry's top marketing influencers and news outlets. Through these assets, marketers can gain a deeper knowledge and, when ready, match their needs with solutions from IBM and more than sixty marketing technology companies from around the globe including Sprinklr, Mirakl and MediaMath. THINK Marketing will rapidly grow to include new industry specific content, collections of content on additional marketing functions and double the number of third-party solutions. THINK Marketing will also include a developer marketplace where start-ups and developers can virtually brainstorm, try solutions and also create and bring to market new cognitive and cloud apps that address important marketing challenges.