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HEO and instructor Gary James shares his most memorable success stories, methodologies, and mistakes from 20 years of operator training. Read More
Get your operators up to speed with the latest on-board technology. HEO and pro trainer Gary James, gives practical tips on how to train for use of cutting-edge Trimble technology with simulation. Read More
Future Tech's Dan Chaney, VP of enterprise AI and data science solutions, speaks with AI industry experts about how organizations and universities are seeking to educate, recruit, and retain tomorrow's AI leaders. Accelerating AI & Data Science: Future Tech is at the forefront of enterprise AI & Data Science solutions. We help companied accelerate their use of advance AI & Data Science solutions. Our customized data science workstations can reduce end-to-end data science workflows by up to 80%, helping your team to work smarter, faster and safer. Ask how we can create you the right customized data science workstation stack. Read More
Bringing a Data Science program into large, entrenched companies poses significant challenges on two fronts: First, Enterprises' internal processes, organizational structure and culture pose a barrier to building a successful Data Science program. Second, data science and machine learning come with their own intrinsic challenges. Some problems take longer to solve than others. Furthermore, not all problems are solvable by data science. The speakers share their experience and views on both the Internal and Intrinsic challenges of establishing Data Science as a Core function within Enterprises. Read More
Bringing a Data Science program into large, entrenched companies poses significant challenges on two fronts: First, Enterprises' internal processes, organizational structure and culture pose a barrier to building a successful Data Science program. Second, data science and machine learning come with their own intrinsic challenges. Some problems take longer to solve than others. Furthermore, not all problems are solvable by data science. The speakers share their experience and views on both the Internal and Intrinsic challenges of establishing Data Science as a Core function within Enterprises. Read More
We are witnessing ever increasing innate human desire to gain insight in every industry and every walk of life. Our professional and personal lives are reliant on data and frictionless data technology to make sense of the insight to achieve significant outcomes. This insatiable human demand can only be fulfilled provided data and frictionless technologies are enabled with free and open approach. Join me and industry leaders to explore industry trends to democratise data for humans to thrive in a digital data economy, we will discuss: • What are significant challenges corporate humans (I.e., employees) face? • Why should they care about this? • What impact it has on their customers and their company’s success? • Can AI/ML models ever make these humans effective in a closed data ecosystem? Debarshi Bandyopadhyay, Principal Consultant & Delivery Partner, Infosys UK Limited Hari Yedoti, Group Head of Data, Liquid Telecom Read More
The global big data and business analytics market was valued at 168.8 billion U.S. dollars in 2018 and is forecast to grow to 274.3 billion U.S. dollars by 2022, according to Statista. As there's more data being made available on nearly anything in the world, so is the number of ways businesses can leverage that data. Big data management solutions and technologies are evolving to give companies the best data-driven analytics and predictive insights with unparalleled accuracy. While there are endless possibilities in what can be done with big data, companies need to know not only how to organize their data but leverage it to get the most out of it. Join this panel to stay up to date with what you need to know to plan for 2022 and learn: -What trends to look out for in 2022 -How to sort through and leverage big data to get quality data-driven insights -How to use common Big Data technologies -How to keep your company up and track real-time data Panelists: Pragyansmita Nayak, Ph.D., Chief Data Scientist at Hitachi Vantara Federal Sandra Carrico, VP, Machine Learning at Sorcero Sean Hearne, Director, Program Management Office at Fiserv Read More
Today, big data has the potential to transform functions, industries, organizations, and governments with an unprecedented impact. Complacency is not an option. You may be asking, “Where are the opportunities?”, “How can we drive business value using data visualization with bottom-line impact?” Join me as we explore these questions and more. Read More