WIRE)--Nov 14, 2018--SnapLogic, provider of the #1 intelligent integration platform, today announced SnapLogic Data Science, a new self-service solution to accelerate the development and deployment of machine learning with minimal coding. Through SnapLogic's drag-and-drop interface, data engineers, data scientists, and IT/DevOps teams can use SnapLogic Data Science to manage and control the entire machine learning lifecycle – including data acquisition, data exploration and preparation, model training and validation, and model deployment – all from within the SnapLogic integration platform. SnapLogic Data Science breaks down traditional barriers that can undermine machine learning initiatives by providing a common platform for machine learning visibility and collaboration across teams including data engineering, data science, IT, DevOps, and development. According to our recent research with Vanson Bourne, 68% of IT decision-makers consider artificial intelligence and machine learning as vital to accelerating their transformation projects. At the same time, McKinsey Global Institute predicts that the U.S. alone will be short 250,000 data scientists by 2024.

It is a known fact that Artificial Intelligence (AI) has opened diverse opportunities in the world of technology, but it is no secret that the economic impact of AI has also been momentous for its adopters. Come 2030, AI based initiatives will pump 12.8 trillion Euros into the global economy!* Caught up in the global frenzy to prove dominance in the realm of AI, the European Union which was till very recently nascent in its AI advancements, has now set up extensive AI strategies to further boost its economy. With a united stance, the European Union took the big leap in the direction of AI when in 2014 they announced the launch of Horizon 2020. The biggest EU Research and Innovation program till date, Horizon 2020 was initiated in order to develop a conducive environment for producing world-class innovations within the continent.

Browse 64 Market Data Tables and 37 Figures spread through 133 Pages and in-depth TOC on "Humanoid Robot Market - Global Forecast to 2023" The humanoid robot market for software is expected to grow at a higher CAGR during the forecast period. As the technological advancement will lead to the growing complexity in terms of features such as AI and autonomous operations, the value of the software part in the robot will grow faster than hardware as software will assist the complex functionalities to process efficiently and accurately. The biped motion type captured a larger share of the overall humanoid robot market in 2016. The actual human-like appearance can be realized in humanoids only when the robot is capable of walking on feet like humans; owing to this, a majority of the humanoid robot manufacturers are focusing on their designs to make biped robots. The Americas accounted for the largest share of the overall humanoid robot market in 2016.

Accenture ACN, 0.40% has invested in and formed a strategic alliance with Quantexa, a leading data analytics firm that provides technology solutions to uncover new intelligence. The minority investment made by Accenture Ventures will help Quantexa accelerate the development of its AI-powered entity resolution and network analytics technology working with Accenture Applied Intelligence. The new collaboration will help clients uncover new actionable insights across multiple industry use cases including fighting financial crime. As part of the alliance agreement, Accenture plans to build new capabilities that combine its technology and risk expertise with Quantexa's network analytics platform. The collaboration aims to develop multiple AI-enabled solutions addressing business challenges in areas including anti-money laundering, credit risk and customer insight.

Mazda Motor Corp. is considering offering mobility services using technologies such as the internet and autonomous driving, its president and chief executive officer, Akira Marumoto, said. Providing such services is "an option" for the automaker, Marumoto said in a recent interview. "Collaboration with nonautomotive sectors such as telecommunications is possible," he said, signaling Mazda's readiness to team up with other companies to obtain know-how about the new services. Automakers globally have been racing to join forces with technology companies to provide new transportation services, such as ride-hailing, using mobile and other technologies. Toyota Motor Corp. and SoftBank Group Corp. last month announced a partnership to offer new mobility services using automated driving technology.

On October 10, 2018, Huawei officially released a full-stack all-scenario AI solution. 'Full-stack' means the solution provides powerful and cost-effective computing power, as well as low-barrier application development platforms that make AI data modeling, model training, and application development simpler, more agile, and more efficient. As an'all-scenario' solution, it is able to drive pervasive intelligence across various device, edge, and cloud scenarios. Ascend 310 is the industry's most powerful AI SoC chip for edge computing scenarios. Currently, the most typical edge computing scenarios are security and protection, autonomous driving, and smart manufacturing.

Why do some mobile in-app ad campaigns succeed, while others fall flat? In part, it's because the creatives used are just ineffective. Too often, ads go unseen -- and unclicked. In the second quarter of 2018, Moat's average valid and viewable rate was around 60 percent, while the average viewable rate noted by IAS in the same time frame was less than 50 percent. That means two of every five ads will never be seen in full by a real person. The average click-through rate of an in-app ad is just over 1.5 percent.

CEO Riley Doyle discusses how Desktop Genetics applies machine learning techniques to the complex world of CRISPR genome editing. The company is building an AI to provide best-in-class genomic services for the design of customised CRISPR libraries.

DALLAS--(BUSINESS WIRE)--To solve humanity's most complex and demanding problems ranging from creating sustainable global food production and preventing infectious disease epidemics to ensuring the safety of our planet and natural resources is the HPC community's next grand challenge. HPC and AI are revolutionizing how we untangle and solve global threats and humanitarian crises. The SC18 plenary session will examine the potential for advanced computing to help mitigate human suffering and elevate our capacity to protect the most vulnerable. This plenary session will hear from innovators who are redefining how we predict and prevent humanitarian crises by leveraging advanced computing. The session is the kick-off event, which immediately precedes the Exhibitor Opening Gala.

The digital landscape is changing. What media companies once took for granted – channel loyalty, captive audiences, and scaling on the back of a portfolio full of tangible products – has fallen by the wayside. In place of Thursday night programming blocks and CDs, we now have streaming services and custom content experiences. Behind it all lies artificial intelligence designed to catapult business into the upper echelons of intelligent enterprise. The question is what all of this means for media companies looking to stay on the cutting edge of innovation while still speaking to their core audiences.