SAN FRANCISCO -- Google is creating tools for software developers to build chat bots that run inside messaging apps such as Facebook Messenger and Google's own messaging products, according to a published report. The technology giant plans to discuss some of the details at its annual developer conference, which starts Wednesday, The Information reported. "Essentially, Google wants to get into the bot-making business more broadly than people realized, and in a way that's similar to Microsoft's strategy, and relying on its strengths in artificial intelligence to convince developers to use its tools," the report reads. Google, like Microsoft, missed out on the new wave of messaging apps which are some of the world's most popular apps. The Wall Street Journal reported in December that Google planned to integrate chat bots, interactive software powered by artificial intelligence that answer questions inside a messaging app, so that users can send queries as text messages.

Data science is a team activity. Ideally, you want to build a team in which diverse specialists pool their skills and knowledge, wield a core set of sophisticated productivity tools and collaborate flexibly and efficiently. Data scientists produce a steady stream of machine-learning, predictive, segmentation and other advanced analytics models. As a team, its effectiveness depends on having advanced tools such as Apache Spark and languages such as R and Python at their disposal. It also depends on having tools to support creative design, agile collaboration and workflow management of data, algorithms, models and other artifacts.

Do you understand the relative impact that machine learning and predictive analytics can have over patient care? If you work in the healthcare industry, I'd suggest that you familiarize yourself with these technologies because working in this environment will soon be an unavoidable reality. This way of treatment with machine learning and predictive analytics is becoming more accepted in today's healthcare industry, but people are still more than 80% under water when it comes to a full-fledged understanding of these cutting edge solutions. There are thousands of healthcare IT companies all over the United States that insource and outsource the development of software and mobile ready applications to solve issues being faced in the technological age of EMRs. It's tough to turn a blind eye to the big named corporations like IBM, rolling out Watson, the machine learning powerhouse that is being implemented across multiple industries, including healthcare.

The growing importance of business intelligence and data analytics applications in driving business decision making has made data integration's vital role in the enterprise crystal clear. From gathering data, transforming it into useful information and delivering it to the business users or processes that need it, data integration routines provide the crucial link between a variety of source and target systems. As the first article in this series examined, several types of packaged software have emerged to meet the challenges of data integration. The current generation of data integration tools consists of full-fledged suites that support extract, transform and load (ETL) processes, application integration, cloud-based and real-time integration, data virtualization, data cleansing and data profiling. How can you determine if your organization should invest in a data integration tool?

According to a new survey (PDF) from the CFA Institute, Wall Street is getting a bit worried about fintech replacing its jobs. The majority of respondents, which included more than 3,000 chartered financial analysts around the world, view asset management as the industry most at risk from disruption by financial technology. Fifty-four percent of respondents said the sector would feel the biggest changes, followed by banking, securities, and insurance. Robo-advisers, a low cost alternative to traditional financial advice, has garnered headlines recently as fees have come under increased scrutiny. According to remarks this week by Wall Street executives attending the Milken Institute Global Conference, the entire world of finance should fear job replacement.

WHAT: SoftServe's "Will Artificial Intelligence Change Healthcare?" on-demand webinar will deep dive into the most talked about topic in Healthcare – Artificial Intelligence. WHO: During the webinar SoftServe's Eugene Borukhovich, Senior Vice President and Healthcare Global Vertical Practice Leader, will provide insights on how AI can add value in Healthcare by: WHERE: Register to access a recording of the "Will Artificial Intelligence Change Healthcare?" webinar. Eugene Borukhovich is an international expert on healthcare information technology innovation. He is also a member of HIMSS EU Industry Advisory Committee, convened in September 2014 to discuss and collaborate on key Healthcare IT topics. Eugene is a frequent speaker at various healthcare conferences and events, including HealthXL, mHealth Summit, Health 2.0, Week of Health and INNovation, etc. Eugene's articles and blogs have been published in numerous healthcare resources including SoftServe United, HealthWorksCollective, Medical Design Technology, intrepidNOW, and many more.

Imagine discovering someone you thought was human is, in fact, a robot. It sounds like the stuff of science fiction. But that's what happened to a class full of Georgia Tech students recently, when they learned that "Jill," their teaching assistant, was actually a piece of software. CBC Radio technology columnist Dan Misener explains what happened. The story starts with a computer science professor named Ashok Goel, who teaches at the Georgia Institute of Technology.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

It's a familiar adage but people still tend to highlight their successes and sweep their failures under the rug, as a professor at Princeton University pointed out last week when he published his "CV of Failures" (pdf), which has since gone viral. Now, in a study published this week in Nature, a team of researchers at Haverford College in Pennsylvania have taken this idea to the next level--by applying it to the scientific community. Even though most experiments fail, it is only the successes that are reported in scientific literature and discussed among experts. The vast majority of the data is discarded, left to collect dust in forgotten laboratory notebooks or never written down at all, making it effectively unavailable for use in further research. "Scientific literature is biased against failure," says experimental chemist Alexander Norquist, one of the study's lead authors.

Thousands of genes are involved in intelligence, according to a new study which effectively shatters any hopes of eugenicists that babies can be genetically designed to be clever. In one of the largest studies of the human genome to date, a group of 253 scientists from around the world identified 74 genetic variants that are associated with the number of years spent in formal education. Humans' genetic make-up is believed to be responsible for at least 20 per cent of the difference in educational attainment between individuals, with the rest down to social factors and the environment in which they are raised. But the researchers found that the largest effect of any one genetic variant was tiny – just 0.035 per cent. This suggests that there must be at least several thousand of genes that are involved.