Tieto established its new data-driven businesses unit in July 2016 to help Nordic organisations to create innovative data-driven services and new business models. In support of this goal, Tieto is also investigating the opportunities AI can present to the new unit's leadership team. Alicia T. will become a full-fledged member of the management team and also possess the capacity to cast votes. "I am proud that we are the first Nordic company to invite AI to become a member of the leadership team of the new data-driven businesses unit. Our team is on a mission to make the future more intelligent. Our developers at the new data-driven unit want to test how AI – a technology which is increasingly popular in home electronics – could assist organisations in data-driven decision-making. I am confident that Alicia T. will help us in finding information and making data-based decisions that humans don't necessarily think of – and thus perhaps create something yet unforeseen," says Ari Järvelä, Head of Data-Driven Businesses.

HELSINKI--(BUSINESS WIRE)--Tieto (HEX:TIE1V) (STO:TIEN) has appointed Artificial Intelligence as a member of the leadership team of its new data-driven businesses unit. The AI, called Alicia T, is the first AI to be nominated to a leadership team in an OMX-listed company. AI will help the management team to become truly data-driven and will assist the team in seeking innovative ways to pursue the significant opportunities of the data-driven world. Tieto established its new data-driven businesses unit in July 2016 to help Nordic organisations to create innovative data-driven services and new business models. In support of this goal, Tieto is also investigating the opportunities AI can present to the new unit's leadership team.

Nexd today announced seed funding as well as beta availability of its artificial intelligence (AI) and analytics platform, designed to help B2B organizations measure, understand and take action to increase close rates, more effectively forecast sales pipelines and improve overall sales efficiency. The company is addressing one of today's biggest sales management challenges, an action gap, whereby teams frequently miss opportunities to engage and win prospects due to fragmented information spread across thousands of disparate enterprise and SaaS applications and tools. Nexd taps the power of big data, machine learning and predictive analytics to analyze every touch point related to the sales process--including millions of data points from apps and tools outside a company's CRM system--ultimately determining patterns of success as well as where breakdowns occur. The result is deeper intelligence, increased predictability and improved execution across the sales organization. "When we embarked down this path we saw an incredible opportunity to use analytics and artificial intelligence to make people more effective at work," said James Davison, Co-Founder at Nexd. "While we're initially focused on sales, due to its huge impact on the business, we envision the core platform with its guidance and recommendations capabilities will ultimately provide value to many other areas across an organization."

MediaGamma has announced the launch of a new Audience Prediction product, which is set to make a major impact on the ad tech market. By applying deep learning to unique data sets, coupled with MediaGamma's unique AI Decision Support Engine, the product is set to provide players in the ecosystem with over 90% certainty about a user's interests and demographic profile. The new product will help people to navigate uncertainty to make better decisions, and a major telecoms company has already signed up. The Audience Prediction product is the latest in a broad portfolio of products created by MediaGamma (http://www.mediagamma.com/), The start-up's world-renown team of data scientists deliver bespoke real time, prediction-based data science solutions focusing on online user behaviour.

WIRE)--GNS Healthcare (GNS), a leading precision medicine company that applies causal machine learning technology to massive and diverse data streams to better match drugs and other health interventions to individual patients, today announced the appointment of Leslie Hoyt as Chief Operating Officer. A veteran healthcare operations leader, Hoyt, who most recently served United Health Group (NYSE:UNH) as Senior Vice President at Optum Health, will help GNS scale its operations and strategically navigate its development during a time of tremendous growth for the company. "Leslie brings an enormous passion for improving the health of individuals and the overall quality of care," said Colin Hill, CEO and Co-founder of GNS. "Her experience will be an essential asset to GNS, as more of our existing customers, as well as new customers, turn to GNS for solutions to complex problems arising from the transition to value-based care. Health plans, providers and biopharmaceutical companies are seeking deeper and more timely knowledge regarding which patients are likely to progress with disease, and which interventions will result in better outcomes for those patients at a lower total cost of care."

Toyota Motor and Suzuki, citing the major changes faced by the global auto industry and the need to bundle industry-wide R&D resources, said they are exploring a business partnership. The two automakers provided little detail on the nature of their talks, but said in a press release that, next to traditional areas of R&D focus, it is increasingly important to work together with other companies on areas such as infrastructure development, as well as the establishment of new industrial standards. Toyota is the worlds biggest automotive group, with a presence in virtually all car segments. Suzuki is much smaller but has a strong position in small cars, especially in Japan and India. It has a dominant share of the rapidly expanding Indian market through a partnership with local producer Maruti.

Tesla's much-anticipated new product announcement has been delayed by two days. Elon Musk was due to unveil an'unexpected product' later today. But the Tesla CEO said the big reveal will now take place on Wednesday as the secret product still needs some work. While Tesla is best known for its electric cars, the company has new products on the way. Many people on Twitter have speculated at what the new product could be.

KARIYA, Japan & TOKYO--(BUSINESS WIRE)--DENSO Corporation and Toshiba Corporation have reached a basic agreement to jointly develop an artificial intelligence technology called Deep Neural Network-Intellectual Property (DNN-IP), which will be used in image recognition systems which have been independently developed by the two companies to help achieve advanced driver assistance and automated driving technologies. DNN, an algorithm modeled after the neural networks of the human brain, is expected to perform recognition processing as accurately as, or even better than the human brain. To achieve automated driving, automotive computers need to be able to identify different road traffic situations including a variety of obstacles and road markings, availability of road space for driving, and potentially dangerous situations. In image recognition based on conventional pattern recognition and machine learning, objects that need to be recognized by computers must be characterized and extracted in advance. In DNN-based image recognition, computers can extract and learn the characteristics of objects on their own, thus significantly improving the accuracy of detection and identification of a wide range of objects.

SAN JOSE, CA--(Marketwired - Oct 14, 2016) - Technology leaders AMD, Dell EMC, Google, Hewlett Packard Enterprise, IBM, Mellanox Technologies, Micron, NVIDIA and Xilinx today announced a new, open specification that can increase datacenter server performance by up to 10x, enabling corporate and cloud data centers to speed up big data, machine learning, analytics, and other emerging workloads. Servers and related products based on the new standard are expected in the second half of 2017. The new standard, called OpenCAPI and released today by the newly formed OpenCAPI Consortium, provides an open, high-speed pathway for different types of technology -- advanced memory, accelerators, networking and storage -- to more tightly integrate their functions within servers. This data-centric approach to server design, which puts the compute power closer to the data, removes inefficiencies in traditional system architectures to help eliminate system bottlenecks and can significantly improve server performance. OpenCAPI sets a new standard for the industry, providing a high bandwidth, low latency open interface design specification built to minimize the complexity of high-performance accelerator design.

"It's encouraging to hear how many people are confident that automation and self-service will dominate customer engagement," said Houlne. "We at Humach still believe that humans will be needed to guide and tune these smart machines. Machine learning and artificial intelligence still have a lot left to learn." "2020 Customer" serves as a guide for customer care professionals looking to be proactive in their customer experience strategy. As well as providing interviews and data, it also provides a six-step roadmap for engaging with the customers of the future.