big data


Machine Learning & Big Data Solutions for Converged FlexPod

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You have a lot of real-world data to process, and you can't waste time worrying about your infrastructure. FlexPod offers significant physical efficiencies that result in direct savings on power, cooling and data center footprint, while also minimizing the need for hands-on management. With FlexPod in your data center, you'll avoid bottlenecks that waste system resources, and you'll save time, energy and money by running a solution that operates at peak performance without constant management or tuning.


H2O.ai Prague Meetup #5: Scalable Automatic Machine Learning in H2O

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Dear Makers, We are hosting our fifth meetup on 27th November. Talk 1: Scalable Automatic Machine Learning in H2O by Erin LeDell The focus of this presentation is scalable and automatic machine learning using the H2O machine learning platform. H2O is an open source, distributed machine learning platform designed for big data. The core machine learning algorithms of H2O are implemented in high-performance Java, however, fully-featured APIs are available in R, Python, Scala, REST/JSON, and also through a web interface. Since H2O's algorithm implementations are distributed, this allows the software to scale to very large datasets that may not fit into RAM on a single machine.


Artificial Intelligence rolls out across academic disciplines

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The University of Texas at San Antonio is participating in a pioneering program to introduce artificial intelligence principles to students in all academic disciplines. UTSA is working with MITRE, a not-for-profit corporation dedicated to research and development in the public interest, to help faculty develop lesson modules incorporating AI, big data analytics and data visualization in classrooms across campus this academic year. The project, codenamed "Generation AI Nexus" or "Gen AI," refers to anyone born in 1995 and later. The goal is to help all students, regardless of their major, understand AI and how to use it as an effective tool. "As an organization of system thinkers and problem solvers, MITRE recognizes the need for novel partnerships with universities to develop talent for the 21st century workforce," said Bobby Blount, department head for cyber ops and C2 effects at MITRE.


Big data is serving top tennis players a match-winning advantage ZDNet

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Big data is changing how tennis stars train and play; but the key to success is taking all that information and turning it into something players can use to win. Craig O'Shannessy, official strategy analyst for both the ATP Tour and all-time great Novak Djokovic, says that the smart use of data when preparing can have a significant impact on a match. O'Shannessy explains to ZDNet at the ATP Tour Finals in London how he uses a range of tools to give Djokovic that data-led advantage. These tools include the Infosys Tennis Platform, which is being used for the first time in 2019 across the ATP Tour, which is the worldwide top-tier tennis tour for men organised by the Association of Tennis Professionals. The platform includes a portal that gives players and coaches access to advanced analytics and match video.


Top 5 Countries in AI Development Analytics Insight

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The race to turn into the worldwide pioneer in artificial intelligence has formally started. In the previous fifteen months, different countries all over the world have all released strategies to advance the utilization and improvement of AI. No two strategies are indistinguishable, with each concentrating on various parts of AI strategy. Let's have a look at top 5 countries making amazing developments in the field of AI. The time of artificial intelligence has arrived years back and is changing everything from healthcare services to transportation to assembling.


Artificial Intelligence Rolls Out Across Academic Disciplines

#artificialintelligence

The University of Texas at San Antonio is participating in a pioneering program to introduce artificial intelligence (AI) principles to students in all academic disciplines. UTSA is working with MITRE, a not-for-profit corporation dedicated to research and development in the public interest, to help faculty develop lesson modules incorporating AI, big data analytics and data visualization in classrooms across campus this academic year. The project, codenamed "Generation AI Nexus" or "Gen AI," refers to anyone born in 1995 and later. The goal is to help all students, regardless of their major, understand AI and how to use it as an effective tool. "As an organization of system thinkers and problem solvers, MITRE recognizes the need for novel partnerships with universities to develop talent for the 21st century workforce," said Bobby Blount, department head for cyber ops and C2 effects at MITRE.


Understanding Different Components & Roles in Data Science

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There are many fields under the umbrella of the data science and sometimes these roles look similar to each other or are used interchangeably. Data science is the umbrella under which all these terminologies take the shelter. Data science in python is a like a complete subject which has different stages within itself. Suppose a retailer wants to forecast the sales of an X item present in its inventory in the coming month. This is known as a business problem and data science aims to provide optimised solutions for the same.


Ask the Experts: Data Analytics 2020

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Get your data questions answered by a leading expert. Executives who rely on data analytics face a squeeze from two directions. On one hand, analytics continues to be ever more important in making business decisions – if you're not getting the most from your analytics solution, you're likely falling behind. Yet on the other hand, data analytics continually grows more complex, as advances in software and methodology enables greater insight, but also greater operational challenge. To shed light on the rapidly growing data analytics sector, I'll speak with two leading experts: Andi Mann, Chief Technology Advocate at Splunk, and Bill Schmarzo, CTO, IoT and Analytics, Hitachi Vantara.


Proving The Financial Contribution Of AI In Marketing Applications

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Businesses and investors universally believe Artificial Intelligence (AI) and Machine Learning (ML) for can fuel new revenue and profit growth by reinventing customer journeys, transforming the customer experience, and optimizing investments in marketing and channels. Consequently, Investment in AI and ML for marketing applications is booming. Despite this frenzy of spending, the impact these investments on growth is not very clear. Most marketers still do not understand how data and analytics will contribute to profit growth according to the Forbes Marketing Accountability Report. And the majority of CFOs struggle to prove the financial return on their investment in analytics.


AI and Data Strategy: Harnessing the business potential of Artificial Intelligence and Big Data: Nigel Schmalkuche, Peta Marshall, Rekha Swamy: 9781087333243: Amazon.com: Books

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As the digital world continues to modernise, and new technologies are developed, the AI and Data Strategy book simplifies the complexities and introduces a structured way to update your strategy to include AI and Data capabilities The book defines the technologies and why they are important and this includes Automatic cars, drones, robots, blockchain, data science, machine learning and internet of things. Most of us are unsure what this all means and may think it's a bit technical and over our head. In the end we really just want to manage our information more securely and be able to access it anywhere anytime any place. The book makes the connection between what the technology is and how it can help us achieve your goals in accessing information. The AI and Data strategy book will get you started on the what, how, who and why to enable you to build and implement an AI and Data strategy.