press release


SnapLogic Introduces Self-Service Solution for End-to-End Machine Learning

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WIRE)--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.


SnapLogic Introduces Self-Service Solution for End-to-End Machine Learning

#artificialintelligence

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.


Developing AI in Europe Through New Strategies Analytics Insight

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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.


Microsoft buys two more video game studios

The Guardian

In a broadcast from its Xbox Fanfest event this weekend, Microsoft announced the acquisition of two new video game studios: inXile Entertainment and Obsidian Entertainment. Both studios are headquartered in California, and both specialise in role-playing games. Both studios also have their roots in the 1990s "golden age" of computer RPGs, staffed by veteran developers from beloved 90s studio Black Isle. Obsidian Entertainment is responsible for acclaimed modern RPGs Fallout: New Vegas, Star Wars: Knights of the Old Republic, Pillars of Eternity, and South Park: The Stick of Truth. These acquisitions mean that Microsoft now owns 13 game studios, seven of which have been acquired or founded in 2018.


This Week In AI: Chipmaker Raises $58M, Samsung Gets Competitive With Its Virtual Assistant, An AI Anchor Delivers the News - CB Insights Research

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This week in AI, chipmaker Esperanto raised $58M. Samsung makes moves with its digital assistant. China unveils an AI news anchor. Here's what went down in artificial intelligence this week. Become a CB Insights customer.


Humanoid Robot Market Worth 3,962.5 Million USD by 2023

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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.


Alexa is now available on Windows 10 PCs

Mashable

Amazon's popular voice assistant Alexa continues to invade our everyday lives. The online retail giant announced today that it's releasing an Alexa app for all Windows 10 PCs. The voice assistant was previously available on only select Windows 10 laptops, but starting today, you'll see it officially in the Microsoft Store for everyone. What's great is that you can use the app on both Windows 10 computers and the Xbox One. And yes, Alexa can live in harmony with Cortana, the voice assistant built into Windows 10.


Huawei Chips Unlock New Era of Artificial Intelligence

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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.


Samsung, SK Telecom develop 5G standalone equipment

ZDNet

Samsung and SK Telecom have developed a prototype 5G switchboard based on the standalone standard (SA), the companies have announced. SK Telecom said deployment of 5G SA will offer near two times faster data processing speed and reaction time compared to 5G NSA. The switchboard is modular in design and vendors can add accessory equipment for additional features, the telecommunications carrier said. Later, equipment with quantum security can be added for national defense agencies or financial institutes. If being used for self-driving cars, where data must flow without interruption, data high-pass filter modules can be added, the company said.


How AI makes in-app ad creatives better

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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.