That's because customers rely on an increasingly wide range of tools to connect with businesses, including social media, email, texting, and other messaging platforms. Today, enterprise technology giant Salesforce is rolling out new artificial intelligence tools to keep those communication channels running smoothly, and triage customer service requests as they come in. Salesforce calls the technology Service Cloud Einstein, extending its Einstein artificial intelligence initiative to its Service Cloud customer service platform. It's a collection of tools that use machine learning to inform, guide and learn from the work of customer service agents and contact center managers. Salesforce CEO Marc Benioff launched the larger Einstein project last year, promising to bring artificial intelligence to all of the company's products and services.

Education stands to benefit from rapid developments in artificial intelligence. But historically, adaptive learning software has been programmed in a top-down fashion. It asks a question, and if the child provides a particular answer, a set of prompts or tips might be shared or a new (perhaps easier, perhaps more advanced) question might be asked. Whether this is or is not AI is up for debate; however, the development of such programs is labor intensive and generally only effective in providing practice for concepts taught in class. As the Innovation Leader at an international education company, I work with both educational leaders on leveraging digital learning ecosystems and with education technology companies to improve their products for use in our schools.

The world's first rotating skyscraper is set to be built in Dubai by 2020. The Dynamic Tower Hotel has been planned since 2008, having been proposed by Israeli-Italian architect David Fisher. It will stand at 1,375 feet tall, with each of its 80 storeys capable of rotating individually around a concrete core, offering 360-degree views of Dubai. Residents will be able to control rotation speeds and stop their apartment from spinning with voice commands. The skyscraper is expected to be completely self-powered, reportedly featuring as many as 79 horizontal-lying wind turbines between floors, as well as roof-mounted solar panels.

BERKELEY, CA--(Marketwired - Jan 25, 2017) - LeadGenius today announced that Qin Zhang has joined the company as Vice President of Engineering. LeadGenius provides B2B marketing and sales teams with highly-accurate lead generation data and go-to-market insights through a combination of machine learning and human researchers. Before joining LeadGenius, Zhang was Vice President of Engineering for EverString. With more than 15 years of technology product development experience, Zhang has scaled engineering teams at a range of companies, including firstRain, Primavera Systems, and EverString. "Qin will focus on scaling the LeadGenius engineering team and the core machine learning technology powering the LeadGenius platform," said Prayag Narula, CEO of LeadGenius.

A Recommender System predicts the likelihood that a user would prefer an item. Based on previous user interaction with the data source that the system takes the information from (besides the data from other users, or historical trends), the system is capable of recommending an item to a user. Think about the fact that Amazon recommends you books that they think you could like; Amazon might be making effective use of a Recommender System behind the curtains. This simple definition, allows us to think in a diverse set of applications where Recommender Systems might be useful. Applications such as documents, movies, music, romantic partners, or who to follow on Twitter, are pervasive and widely known in the world of Information Retrieval.

IBM Machine Learning for z/OS could be a boon to big banks and insurance companies that want advanced analytics on the mainframe. Next up is the IBM Power platform. Public cloud providers have popularized machine learning with low-cost, easily accessible services, but that's a separate world from the tightly regulated, on-premises computing environments maintained by many big banks and insurance companies. Now IBM is bringing cutting-edge analytics to these mainframe customers with IBM Machine Learning (IBM ML) for z/OS. Announced February 15 in New York, IBM ML is a private-cloud-only offshoot IBM Watson Machine Learning, the public-cloud service on IBM Bluemix.

Technology can inspire people to be creative in new ways. Magenta, an open-source project Google launched last year, aims to do that by giving developers tools to explore music using neural networks. To help show what's possible with Magenta, Google recently created an interactive experiment called A.I. Duet, which lets users play a duet with the computer. Just play some notes, and the computer will respond to your melody. You don't even have to know how to play piano--it's fun to just press some keys and listen to what comes back.

Pics Brit chip startup Graphcore has produced sexy images of its graph processing. We wrote about Graphcore scoring $30m A-round funding in October. The processor designer came out of two years in XMOS-incubated stealth mode at that time, and was founded by CEO Nigel Toon and CTO Simon Knowles. XMOS is a fabless semiconductor company developing micro-controllers, and it was founded in 2005 in Bristol, UK. There is a wide spread of Graphcore investors: Bosch, Samsung, Amadeus Capital, C4 Ventures, Draper Esprit, Foundation Capital and Pitango Venture Capital.

Should banks wait for technology to advance before deploying a bot? We find out if bots are ready to be bankers . . . Chatbots are slowly and steadily taking over the Digital World, however, the big question is – Are Bots ready for Banking? It is one thing to use a bot to shoot out a tweet and another to entrust your money to a chatbot to transfer funds. Let's find out if chatbots are ready to handle the high-stakes world of managing people's money.

Increasingly, the world is becoming an intelligent, digitally enabled mesh of people, things and services. Technology will be embedded in everything in the digital business of the future, and ordinary people will experience a digitally-enabled world where the lines between what is real and what is digital blur. Rich digital services will be delivered to everything, and intelligence will be embedded in everything behind the scenes. We call this mesh of people, devices, content and services the intelligent digital mesh, and this forms the basis for our Top 10 Strategic Technology Trends for 2017. Artificial Intelligence (AI) and machine learning have reached a critical tipping point and will increasingly augment and extend virtually every technology enabled service, thing or application.