WIRE)--Looker, a leading data platform company, today announced an integration with Google Cloud BigQuery ML (BQML) that accelerates the time-to-value of data science workflows and allows business users to operationalize insights with interactive predictive metrics. With Looker and BigQuery ML, data teams can now save time and eliminate unnecessary processes by creating machine learning (ML) models directly in BigQuery via Looker – without the need to transfer data into additional ML tools. BigQuery ML predictive functionality will also be integrated into new or existing Looker Blocks allowing users to surface predictive measures in dashboards and applications. "Much of the work in machine learning centers around data preparation and ML model evaluation and tuning," said Lloyd Tabb, Looker Co-founder, Chairman and CTO. "Looker and BigQuery ML are great together in that Looker handles the data preparation and BigQuery ML does the learning. Looker can also help you evaluate and tune ML models to integrate predictions into dashboards and data workflows. We look forward to continuing our work with Google and bringing BigQuery ML capability to Looker Blocks."

Driverless AI, the automated machine learning platform from H2O.ai, is now available for ordering through IBM . For a more comprehensive description of Driverless AI, see the H2O.ai website. IBM and H2O.ai collaborate to enable you to order Driverless AI directly from IBM. H2O Driverless AI is a high-performance, GPU-enabled software application for the rapid development and deployment of advanced predictive analytics models. It lowers the barrier to entry for machine learning by automating a large portion of the process of algorithm selection and model building and tuning. Driverless AI uses machine learning interpretability to create easy-to-follow visualization and explanations of models, which are especially useful in regulated industries.

Uber announced today that on June 10th, 173 trips and deliveries that began simultaneously pushed the company past a record of 10 billion completed trips. Uber hit its 10 billionth trip just over a year after it completed its five billionth and the company said that the 173 trips occurred in more than 21 countries and five continents. The year Uber spent doubling its trip count was also marred by a lot of issues, some of which continue to plague the company. It has been sued and investigated for gender and race discrimination, revealed a data breach that it at one point worked to hide, was sued over the data breach, issued layoffs and replaced its CEO. It has also dealt with continued scrutiny into how it treats and pays drivers, a fatal crash involving one of its self-driving cars, sexual assault accusations against its drivers and the Waymo lawsuit that the company settled in February.

Google has a slew of artificial intelligence announcements it's making this week at its Cloud Next conference, which kicks off in San Francisco today, and many are focused on the company's democratization of machine learning tools. Starting today, Google's AutoML Vision tool will now be available in public beta after an alpha period that started back in January with the launch of its Cloud AutoML initiative, the company announced during its keynote. Cloud AutoML is basically a way to allow non-experts -- those without machine learning expertise or even coding fluency -- to train their own self-learning models, all using tools that exist as part of Google's cloud computing offering. The first of these tools was AutoML Vision, which lets you create a machine learning model for image and object recognition. Google makes these tools legible to those outside the software engineering and AI fields by using a simple graphical interface and universally understood UI touches like drag and drop.

Germany Market Analysis Table 35: German Recent Past, Current & Future Analysis for Artificial Intelligence Analyzed with Annual Revenue Figures in US$ Million for Years 2015 through 2024 (includes corresponding Graph/Chart) 9.4.3 Italy Market Analysis Table 36: Italian Recent Past, Current & Future Analysis for Artificial Intelligence Analyzed with Annual Revenue Figures in US$ Million for Years 2015 through 2024 (includes corresponding Graph/Chart) 9.4.4

The research found that while AI could displace roughly seven million jobs in the country, it could also create 7.2 million roles, resulting in a modest net boost of around 200,000 jobs. It has also estimated that about 20 percent of jobs would be automated over the next 20 years and no sector would be unaffected. Technologies such as robotics, drones and driverless vehicles would replace human workers in some areas, but also create many additional jobs as productivity and real incomes rise and new and better products are developed. In the health and social work sector the number of people employed could rise by almost one million, while jobs in manufacturing could fall by roughly 25 percent, a net loss of almost 700,000 roles. "Major new technologies, from steam engines to computers, displace some existing jobs but also generate large productivity gains," PwC's Chief Economist John Hawksworth said in a press release.

Microsoft reported its Q4 2018 earnings yesterday, with highlights like surpassing $100 billion in revenue for the fiscal year, all three operating groups seeing double-digit year-over-year growth, and as a result the stock soaring past $800 billion in value. All of that meant a smaller tidbit slipped through: three additions and three minor changes made to the earnings release. Statements in this release that are "forward-looking statements" are based on current expectations and assumptions that are subject to risks and uncertainties. This is then followed by 24 factors. In this past quarter's release, there were 27 factors. The third one seems ordinary and something that any company would want to include.

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence (AI) - Global Strategic Business Report" report has been added to ResearchAndMarkets.com's offering. The report provides separate comprehensive analytics for the US, Canada, Japan, Europe, Asia-Pacific, and Rest of World. Annual estimates and forecasts are provided for the period 2015 through 2024. Market data and analytics are derived from primary and secondary research.

As image recognition advances continue to accelerate, startups with a mind towards security applications are seeing some major interest to turn surveillance systems more intelligent. AnyVision is working on face, body and object recognition tech and the underlying system infrastructure to help companies deploy smart cameras for various purposes. "It's not just how accurate the system is, it's also how much it scales," Etshtein tells TechCrunch. "You can put more than 20 concurrent full HD camera streams on a single GPU." The Tel Aviv-based AI startup announced today that it has closed a $28 million Series A funding round led by Bosch.

Duchenne Muscular Dystrophy (DMD) is a rare muscle disorder affecting children that results in loss of the ability to walk. It's rapidly progressive -- average life expectancy is about 20 years -- and caused by genetic mutations on the X chromosome that regulates the production of dystrophin, a protein thought to play a role in maintaining muscle cell membranes. For DMD sufferers and other patients with rare degenerative diseases, there's now hope on the horizon. Insilico Medicine and A2A Pharmaceuticals today launched Consortium.AI, a new venture founded with the goal of applying advances in artificial intelligence (AI) to cutting-edge drug discovery. Through Consortium.AI, the two companies will collaboratively develop therapeutic treatments for DMD and other severe genetic disorders and use machine learning to validate the most promising candidates.