Mphasis,a leading IT services and solutions provider, today launched Digital Acceleration Program – Sparks;. Sparks accelerates digital transformation for organizations without them having to invest in future proof technology or research labs by constantly bringing in industry disruptors revolutionizing the global banking and insurance sectors. These partnerships are a catalyst in verticalyzing cutting-edge digital technology to help Mphasis; customers pragmatically deliver end-to-end solutions. Sparks currently introduces two vital elements Customer Experience; and Data, Information Intelligence; aspects of digital. Sparks evolution roadmap consists of bringing in three other elements: Commerce, Operations, and Architecture Technology Transformation.

Mphasis, a leading IT services and solutions provider, today launched'Digital Acceleration Program - Sparks'. Sparks accelerates digital transformation for organizations without them having to invest in future proof technology or research labs by constantly bringing in industry disruptors revolutionizing the global banking and insurance sectors. These partnerships are a catalyst in verticalyzing cutting-edge digital technology to help Mphasis' customers pragmatically deliver end-to-end solutions. Sparks currently introduces two vital elements'Customer Experience' and'Data, Information & Intelligence' aspects of digital. Sparks evolution roadmap consists of bringing in three other elements: Commerce, Operations, and Architecture & Technology Transformation.

Machine learning has been a hot topic in cybersecurity circles lately. The cybersecurity sector generates oceans of data. Sorting through threat data to glean useful intelligence is a huge task, akin to finding a needle in a proverbial "needlestack." The first level of sorting is definitely beyond human manual capabilities--but it's perfect for a digital workhorse. Modern computers are terrific at crunching data, recognizing patterns and showing basic trends.

Machine Learning is all about using computer systems and applying statistical techniques and algorithms to identify patterns in data, learn from it and provide data-driven trends, predictions and decisions. Machine learning algorithms have two flavors: Supervised learning and Unsupervised learning.

Besides Pokémon reclaiming its place in the zeitgeist, bots are the buzzing tech trend of 2016 so far. The big five -- Google, Apple, Facebook, Amazon, and Microsoft -- have all unveiled or featured bots in their annual product conferences. Consumer startup decks have hurriedly affixed bots to their pitches, for better or for worse. The New Yorker covered conversational bots in June. Bot has quickly become as common as the word app has been in startup chatter about what people are building: its a bot for'X' (in this case X usually stands for a mundane, predictable task currently carried out by humans).

Day 2 of the 2016 Intel Developer Forum opened with dual keynotes that began at 9 a.m. Murthy Renduchintala, president of Intel's Client and Internet of Things Businesses and Systems Architecture Group, discussed the innovations that drive the next revolution in technology as we shift to a truly connected world. He was joined for a panel discussion on the future of a smart and connected world. Diane Bryant, Intel executive vice president and general manager of its Data Center Group, discussed the company's progress in artificial intelligence. She disclosed details on the next-generation of the Intel Xeon Phi processor family designed for machine learning workloads.

Remember the horror movie The Fly, in which a brilliant scientist comes up with an groundbreaking technology -- only for his good intentions to head south when he accidentally gets genetically spliced with a housefly, turning him into a hideous monster? That's kind of the vibe we get hearing about a project that aims to teach an AI to hold a polite conversation by feeding it message threads from Reddit. Nonetheless, that's the working theory held by researchers at OpenAI, the nonprofit Artificial Intelligence company backed by Silicon Valley heavy-hitters like Elon Musk, which lists its mission as "to build safe AI, and ensure AI's benefits are as widely and evenly distributed as possible." All kidding aside, the impressive-sounding project focuses on creating a deep learning neural network able to build up a "probabilistic understanding" of conversation, and maybe even construct enough of a language model to be able to communicate itself. To help with this, OpenAI is employing a DGX-1 supercomputer developed by Nvidia.

What could possibly go wrong? Elon Musk's AI set to try and learn the art of human conversation ... Intel's secretive Knights Mill mega-chip will challenge GPUs for AI domination

What could possibly go wrong? Elon Musk's AI set to try and learn the art of human conversation ... Intel's secretive Knights Mill mega-chip will challenge GPUs for AI domination

What could possibly go wrong? Elon Musk's AI set to try and learn the art of human conversation ...