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data scientists

TechBytes with Gary Ogasawara, Chief Technology Officer at Cloudian

Why is metadata important for an organization building AI and ML models? AI and ML models generally need to train from large quantities of data, and the broad adoption of AI and ML has only been possible due to the widespread accumulation of Big Data over the past decade or so. The challenge is that it’s difficult for Data Scientists to navigate massive Big Data deployments to locate the data they need for their models. Metadata is simply data about data. It describes what data is. Metadata can tell you when a…

Quantum Computing is a Viable Alternative to Encryption, Says Sundar Pichai

Google is going after Quantum Computing to consolidate its supremacy in the tech business. Though small in size, the Quantum Computing (QC) market is rapidly becoming mainstream. Data scientists have been discussing the potential of QC applications for over 30 years now. But, the technology got attention only after Google made its vision clear about the market. They released a 54-qubit processor, named “Sycamore” in 2019. Google’s Chief Sundar Pichai went a step further in crowning QC as the new threshold to sustain business…

How Can Offshore Software Development Effectively Fulfill Demand Supply Gap for Data Scientists

“Data is a precious thing and will last longer than the systems themselves.” – Tim Berners-Lee, inventor of the World Wide Web  One significantly observable trend in today’s times is the rise of Big Data and Data Scientists jobs. Why? Because there is something very absolute and objective about numerical information, that’s hard to ignore. For businesses worldwide, data is the new currency and raw material. But is it just this escalating inflow of information which is giving multi-national conglomerates sleepless nights?…

Marketers Shouldn’t Have to be Data Scientists

Over the past decade, the rise of Data-Driven Marketing and Account-Based Marketing (ABM) have both followed steep trajectories, and that’s no coincidence. After all, the best ABM programs are the ones built on rich data and insights. However, the meteoric rise of data-fueled ABM has had an unintended side effect inside the marketing organization: Marketers now have to become data experts or hire them in droves. As the complexity of analyzing and employing data for ABM increased, marketers started to get lost in the…

SAS Features Innovations in Automated Machine Learning, Computer Vision and NLP to Improve Decision Making

Latest SAS Platform Release Helps Businesses and Data Scientists Put Analytics in Action by Automating Complex Tasks SAS, the leader in advanced analytics, is enhancing its automated, simple, and powerful analytics platform to help digital disruptors and emerging leaders blaze a trail forward. The updated SAS Platform delivers additional innovation in artificial intelligence (AI), specifically in the areas of machine learning, computer vision, natural language processing (NLP) and other technologies that underpin AI.…

BlueConic Launches AI Workbench to Eliminate Operational Inefficiencies for Data Science & Marketing Teams

Integrated Solution Enables Real-Time Model Deployment Across Entire CDP Profile Database for Immediate Marketing Activation BlueConic, the world’s leading customer data platform (CDP), announced the release of its AI Workbench, which puts the power of machine learning directly in the hands of the marketing organization to enable more intelligent 1:1 customer experiences. @BlueConic, the world’s leading customer data platform (CDP), announced the release of its AI Workbench, which puts the power of machine learning…

85% of Marketers Using Artificial Intelligence Believe It Will Drive Double-Digit Revenue Growth Within Two Years

Demandbase Research with Salesforce Pardot Shows High Expectations for AI but Low Usage Among Marketers Demandbase, the leader in Account-Based Marketing (ABM), revealed the results of their Artificial Intelligence (AI) survey, issued in conjunction with Salesforce Pardot and global research firm, Demand Metric. The findings point to strong interest and high expectations in AI from B2B marketing and sales professionals; 84 percent of study participants are currently planning, evaluating, implementing or using AI, and 84…

Visualizing Machine Learning: How Do We Humanize The Intelligence?

These are exciting times for data science professionals. With the rapid advances being made in analytics, specifically around machine learning, deep learning and AI, researchers and practitioners around the world have started adapting these technologies for deep, human-impacting applications. The Age of Advanced Analytics Social talk is replete with conversations that have shifted gears from self-driving cars to flying vehicles, smart machines to robots that are already collaborating quietly in our homes, and chatbots to…

The Great Rush: Preparing for the Data Science Success

Today, data is the ‘oil’ that is driving every aspect of the business. And, in a scientific parlance, this data is reusable, replenishable and insightful. Every insight gleaned with data becomes valuable each passing day. With the coming of age of the Internet of Things (IoT), super-connectivity, data management, and analytics, data for business is a gold rush for all modern organizations. We provide you key insights on how to start on the path to data science success and make a dash into the ‘Great Rush’. Talk to the…

Alteryx Leads in Gartner 2018 Magic Quadrant for Data Science and ML

Company Appears in Fifth Consecutive Report, Moves from Position as a Challenger in the 2017 Version to Position as a Leader in the 2018 Version Alteryx, Inc., a leader in self-service data science and analytics, has revealed that it was named a Leader in Gartner’s 2018 Magic Quadrant for Data Science and Machine-Learning Platforms. This recognization in Gartner Magic Quadrant marks the fifth consecutive time that Alteryx has been positioned in this Magic Quadrant, and the first time the company has been positioned in the…

Do Your AdTech Goals for 2018 Look Like These?

According to Matt Fanelli of MNI Targeted Media, Ad Fraud Would Continue to Be an Issue Across the Digital Landscape Historically, the advertising industry has always at the forefront of innovation. To understand how  marketing and sales technologies would shape up in the future, just have a look at the adtech ecosystem. From mitigating brand safety concerns to managing audience data for targeted advertising campaigns, adtech has always bustled with new innovations to make brands more visible, at better engagement…