LAS VEGAS, NV – MARCH 8, 2018 – Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Samsung Electronics Co. Ltd. today announced plans for a strategic partnership to connect Samsung's ARTIK Smart IoT Platform to the Philips HealthSuite Digital Platform. This collaboration will ultimately allow the Samsung ARTIK ecosystem of connected devices to safely access and share information with Philips' cloud platform. Healthcare application developers will be able to realize interoperable connected health solutions using integrated data sets and innovative HealthSuite services such as advanced health analytics. "This collaboration will enable healthcare application developers to focus on the development of innovative applications rather than on the technical integration of devices," said Dale Wiggins, General Manager Philips HealthSuite Digital Platform at Philips. "By strengthening our HealthSuite ecosystem with Samsung ARTIK, we will be taking another important step in breaking down the silos in today's healthcare domain to create a trusted and seamless care experience for both consumers and care professionals."

"This use of AI with HSBC's card program is one of the first in the loyalty sector and demonstrates that artificial intelligence and machine learning are the future of business," said Jesse Wolfersberger, senior director, decision sciences, Maritz Motivation Solutions. "We're going to witness more companies using AI to engage people in new and innovative ways. We are proud to have a proprietary AI system that makes loyalty programs smarter and more efficient and can result in significant operational cost savings for businesses." Maritz's AI algorithm, also known as machine learning, predicts the rewards a loyalty program member is likely to redeem over the next year. The AI then suggests a redemption category to promote to each member and calculates the percentage of clients likely to redeem in different categories.

This story was delivered to BI Intelligence Apps and Platforms Briefing subscribers hours before appearing on Business Insider. To be the first to know, please click here. Google unveiled a slew of new features for its ecosystem of Google Assistant voice apps, called "Actions," the company announced last week. Google Assistant actions are similar to Amazon Alexa skills. The new features -- Custom Device Actions, push notifications, and support for media playback -- could incentivize more developers to create actions for Google Assistantand drive consumer engagement, ultimately making Google Assistant a stronger competitor in the voice assistant landscape.

Los Angeles, CA – After 4 years of Research and Development, Stock Circles announces an Artificial Intelligence Breakthrough in Stock Investing. "Today we are pleased to announce that Smart Auto-Trading, the first stock investing trading platform to use Artificial Intelligence natively to screen, monitor and auto-trade the S&P 500, yielded conclusive test results by consistently outperforming the benchmark by 2X for the past 2 years" says Jana Clemons, Stock Circles' CMO. According to Clemons, the technology does not make use of traditional Technical Analysis to trade stocks. "Instead, it uses Behavioral Sciences, Machine Learning and Statistical Models to screen, monitor and auto-trade the S&P 500 ". "Stock Circles started verifying the hypothesis that Artificial Intelligence stock investing would produce a higher return than the S&P500 in 2014", says Clemons. "To test the hypothesis, we had to build an entirely new kind of trading platform designed to ingest and process multiple, non- traditional data sources to extract actionable information".

On 1 March Roboteam announced the launch of its Artificial Intelligence Control Unit (AI-CU) software to provide autonomous and artificial intelligence capabilities to the warfighters. The AI-CU software will provide intuitive control and operation of unmanned systems and payloads according to the company. This will include unique features such as autonomous navigation, facial recognition and other artificial intelligence-enabled capabilities for operators of unmanned systems. The AI-CU allows operators to control numerous platforms and payloads simultaneously, based on multi-robot operator control unit (MOCU) compliant, open source software. Roboteam said that with the use of AI, an operator can control semi-autonomous platforms with voice commands while receiving real-time facial recognition data in the field.

NEW YORK, March 12, 2018 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence in Agriculture (AIA) Market is expected to grow at a significant CAGR of 24.3% during the forecast period. The factors driving the growth of the global AIA market are rising adoption of information management systems (IMS), automated irrigation, increasing crop productivity by implementing deep learning techniques, and increasing global population. Furthermore, growing trend of precision farming and increasing adoption of smart sensors are also fueling the demand of the global AIA market. Replacement of human labor is also expected to overcome by AIA, to minimize scarcity of physical labor. However, the high cost of collecting data of agricultural land is a major restraint of the AIA market growth.

"This is our second event focused on the current and future implementation of AI in the auto industry," said John Sousanis, managing director of Wards Intelligence. "We believe the evolution in Artificial Intelligence will be one of the most impactful trends in automotive - affecting everything from the way vehicles are designed, tested and built, to the way they interface with passengers, the road and other vehicles. Our first conference was the beginning of an ongoing discussion of this rapidly changing technology. For our second event, we've expanded to a full-day to take a deeper dive into AI, and present perspectives and insight from our analysts and subject matter experts inside and outside the industry." Registration for the event is limited to 120 people, and limited seating remains available.

KUALA LUMPUR, Malaysia--(BUSINESS WIRE)--Fusionex, a multi-award-winning, leading data technology provider specializing in Analytics, Big Data, Machine Learning, and Artificial Intelligence (AI), has commenced a digital insurance initiative for leading Takaful insurance company STMB. Takaful Malaysia's online sales portal "Click for Cover" was launched at a grand ceremony and signalled the digital transformation of their business processes with Fusionex technology. The launch ceremony was officiated by Datuk Seri Johari Abdul Ghani, Finance Minister II, and marked the beginning of a seamless customer experience in purchasing and renewing insurance policies online via data-centric approach. Leveraging Fusionex technology, Takaful's digital insurance initiative is able to help customers process their applications, issue quotations, perform underwriting, send cover notes and e-documents via a customer-focussed and seamless online platform. The platform focuses on providing the best service to its customers, with the ability to understand each customer in a more personalized way.

The British chip design firm ARM came up with the processors used in virtually all the world's smartphones. Now it plans to add the hardware that will let them run artificial-intelligence algorithms, too. ARM announced today that it has created its first dedicated machine-learning chips, which are meant for use in mobile and smart-home devices. The company says it's sharing the plans with its hardware partners, including smartphone chipmaker Qualcomm, and expects to see devices packing the hardware by early 2019. Currently, most small or portable devices that use machine learning lack the horsepower to run AI algorithms, so they enlist the help of big servers in the cloud.

Drivers 4.3.2.1 High penetration of IOT in agriculture industry 4.3.2.2 Increasing number of IOT device installation in agriculture 4.3.2.3 Decreasing price of sensors 4.3.2.4 Increase in adoption of cattle facial recognition 4.3.2.5 Impact analysis of drivers on market forecast 4.3.3