A new flexible online training program on data science will prepare job-seekers in Michigan and beyond to quickly enter one of the fastest-growing labor markets and advance their careers. The University of Michigan’s Center for Academic Innovation created the program, “Data Analytics in the Public Sector with R,” for data science and other professionals interested in how public data sets can drive decisions and policymaking in the public sector. The course complements current Google career certificates, flexible online “Grow with Google” job-training programs for high-demand fields.
Speech Analytics in Customer Service – How to Protect Employees and Customers
October 13, 2022 by
In this special guest feature, Piergiorgio Vittori, CEO of Spitch.ai’s U.S. division, explains how speech and conversation analytics help a company improve its service and identify weak points. It can transform the customer experience by providing visibility into the interaction between a customer and an agent, and it is no longer limited to only one channel. Whether chatbot or phone call, once omnichannel conversation data is derived, it plays a role in decision making.
Tomorrow’s Tech: What Does the Future of Analytics Look Like?
October 13, 2022 by
In this contributed article, Nitin Aggarwal, Vice President of Analytics and Data Science for The Smart Cube, suggests that when it comes to analytics tech, it’s all about speed to insight. People are trying to make sure data is available in almost real-time across the business, which takes a lot of processing power and investment in infrastructure. Then once that data is ingested, people want to make it faster.
Vectara, a New Leader in Applied Large Language Models, Launches its First Neural Search as a Service Offering to Transform Content Discovery
October 12, 2022 by
Vectara, the operating platform for neural network technology, launched its first product, neural search as a service, that leverages large language models to understand the intent behind user queries and bring meaning to search. Available in two editions; Growth provides a generous free tier, and Scale includes a complete set of enterprise features. Vectara makes neural network technology immediately accessible to developers, even without any machine learning expertise.
Seagate Launches Lyve Cloud Analytics Platform to Optimize Machine Learning Operations and Accelerate Innovation
October 12, 2022 by
Seagate® Technology Holdings plc (NASDAQ: STX), a world leader in mass-data storage infrastructure solutions, announced the launch of Lyve™ Cloud Analytics platform, a complete cloud-based analytics solution that includes storage, compute, and analytics, to help Lyve Cloud customers lower the total cost of ownership (TCO) and accelerate time to value with their DataOps and MLOps (machine learning operations).
Developer Designs AI that Creates Infinite Bored Ape NFTs
October 10, 2022 by
In this contributed article, Or Lenchner, CEO, Bright Data, examines how public web data collection can unlock AI-generative NFTs like Yannic Kilcher’s ‘Bored Apes’? Kilcher discusses how public web data is crucial to building generative adversarial networks (GANs). This is an unsupervised learning task in machine learning that involves automatically discovering and learning the regularities or patterns in input data such that the model can be used to generate or output new examples that plausibly could have been drawn from the original dataset.
Understanding Batch vs. Streaming Data Processing As Enterprises Go Real Time
October 8, 2022 by
In this special guest feature, Rob Malnati, COO of thatDot, explains the data debate between stream vs. batch processing. For companies to keep up with the pace of the increasing demand for digital data, organizations are moving data from legacy infrastructures to the cloud to scale and accelerate data-driven decision making. As enterprises are shifting toward real-time data streams to get actionable insights in an instant, a debate has sparked over which way to process data is better – stream vs. batch processing?
How to Navigate Product Enhancements Through Data
October 7, 2022 by
In this contributed article, Yohann Smadja, VP of Data Science at Cedar, provides tips to help organizations navigate product improvements through research and data. In the article, Yohann shares how to employ some pointers so you’ll be well suited to start using a data-driven approach to product enhancements
Fighting Data Silos with Data Literacy and Transparency for All
October 5, 2022 by
In this special guest feature, John Wills, Field CTO at Alation, discusses creating a culture of data consciousness and the five ways he has seen to work best. John has experience in driving a successful data culture, especially in times of increased growth, and recommends that companies first ensure that employees know what data is at their fingertips.
DataRobot Announces Launch of Dedicated Managed AI Cloud
October 4, 2022 by
DataRobot announced the public availability of DataRobot Dedicated Managed AI Cloud, a dedicated hosted version of AI Cloud managed by DataRobot experts. Dedicated Managed AI Cloud provides the latest DataRobot capabilities to support critical AI and machine learning projects with the advantage of public cloud services, reducing cost and time-to-value in deploying, upgrading and managing the AI infrastructure.
