Data Science


Seebo pioneers process-based Industrial AI to Predict & Prevent Manufacturing Disruptions Seebo Blog

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TEL AVIV, November 15, 2018 – Seebo today announced the launch of its unique process-based artificial intelligence (AI) technology. The new AI-based capabilities for production line data introduce unmatched accuracy and ease of use of the company's predictive quality, predictive maintenance and production line intelligence solutions. Process manufacturers today face rising demands on production capacity and continuous disruptions that affect uptime, quality, and throughput. Increasingly, they are turning to machine-generated data to investigate and solve their production line problems. But finding meaningful insights entails applying sophisticated machine learning technologies to a carefully engineered big data repository – a process beyond the technical and financial reach of most manufacturers.


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

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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.


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.


Inpixon Announces Adding Video Camera Data Feed into Indoor Positioning Analytics

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Sensor fusion is the use of sensory data from multiple sources, combined into one comprehensive result for more accurate, complete, and dependable, business intelligence and security applications. "IoT devices, security cameras and other data capture sensors are practically everywhere," said Nadir Ali, CEO of Inpixon. "The challenge is to filter the information captured by those devices, so it can be processed and analyzed in a meaningful way. Inpixon has extensive experience in radio frequency data fusion, which we believe we can leverage due to the similarities between radio waves and the light waves captured by CCTV cameras. "Location is the lynchpin," continued Mr. Ali. "To know what's going on in your building -- for security purposes, for sales or customer service purposes, or for applications like location-based marketing or augmented reality -- you must know the location of persons and electronic devices in your space.


Exari Advances Big Data Contract Analytics

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Exari, the leading provider of enterprise contract management software, has announced a partnership with MongoDB. Exari's new AI-powered contract management platform generates large amounts of rich contract data, requiring powerful, reliable and flexible data storage. MongoDB is the leading, modern general-purpose database platform which provides the scalability and flexibility that users want as well as the querying and indexing that users need. End users need to know the terms and conditions in their contracts day-to-day and understand their rights, risks and obligations. Gaining insight into individual contracts and entire contract portfolios, however, has historically been resource-intensive and costly.


DataRobot Raises $100 Million Series D Led by Meritech and Sapphire Ventures - DataRobot

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DataRobot, the creator of the automated machine learning category, has raised $100 million in Series D funding, bringing its total funding to $225 million. The round was led by Meritech and Sapphire Ventures, with participation from DFJ Growth and 16 previous investors including NEA, IA Ventures, and Intel Capital. Meritech's Rob Ward and Sapphire's Jai Das have joined the Board of Directors. DataRobot was founded by experienced applied data scientists in 2012, long before the current resurgence of AI. Their mission was to develop technology to automate the process of building and operationalizing machine learning models.


DataRobot Raises $100 Million Series D Led by Meritech and Sapphire Ventures

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BOSTON--(BUSINESS WIRE)--DataRobot, the creator of the automated machine learning category, has raised $100 million in Series D funding, bringing its total funding to $225 million. The round was led by Meritech and Sapphire Ventures, with participation from DFJ Growth and 16 previous investors including NEA, IA Ventures, and Intel Capital. Meritech's Rob Ward and Sapphire's Jai Das have joined the Board of Directors. DataRobot was founded by experienced applied data scientists in 2012, long before the current resurgence of AI. Their mission was to develop technology to automate the process of building and operationalizing machine learning models.


DXC Technology Opens Digital Innovation Lab in Singapore

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SINGAPORE--(BUSINESS WIRE)--Oct 25, 2018--DXC Technology (NYSE: DXC), the world's leading independent, end-to-end IT services company, today announced the opening of the DXC Digital Innovation Lab in Singapore. Developed with the support of the Singapore Economic Development Board (EDB), the DXC Digital Innovation Lab Singapore is an advanced environment for the incubation of ideas, learning and innovative technology solutions developed by data scientists and enterprise solution experts. The lab will benefit DXC employees, clients and partners, as well as the technology and business communities of Singapore, the region and beyond. The DXC Digital Innovation Lab Singapore is an extension of DXC Labs, whose goal is to ensure that DXC masters the emerging technologies it needs in order to lead clients through accelerating digital transformation. At the innovation lab, digital specialists will explore novel technologies, develop prototypes and create reference architectures for rapid business deployment.


Join 13,000 attendees at the AI & Big Data Expo in Silicon Valley next month - Press Release - Digital Journal

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The AI & Big Data Expo, the leading artificial intelligence & big data event and conference is now less than 7 weeks away, returning to the heart of Silicon Valley at the Santa Clara Convention Center on November 28-29. Co-located with the IoT, Blockchain, Cyber Security and Cloud events, the show is set to host more 13,000 attendees, 350 exhibitors and 500 speakers from the likes of Netflix, Facebook, Walmart, Starbucks, Mastercard, John Deere and more. Dedicated AI & Big Data Conference tracks include; Enterprise AI & Digital Transformation, Data Analytics for AI & IoT, Big Data Strategies, AI and the Consumer, Developing AI Technologies and Big Data for Industry. The conference will showcase next generation technologies and strategies from the world of AI & Big Data, providing an opportunity to explore and discover new strategies to drive your business to the next level. The AI & Big Data Expo will host some of the world's largest brands with thought leaders sharing their experiences and knowledge, in addition to debating the advancements in AI and Big Data and exploring how these advancements affect a variety of industries and sectors.