Search Results for: data science

The Next-Level of Operationalizing Machine Learning: Real-time Data Streaming into Data Science Environments

In this contributed article, Adi Hirschtein, VP Product at Iguazio, discusses the next-level of operationalizing machine learning: real-time data streaming into data science environments. New Stack’s Streaming Data and the Future Tech Stack report (2019) show a 500% percent increase in the number of companies processing data in real-time for AI/ML use cases. And experts posit a more massive increase in the number of companies following this trend as we approach 2021.

Mistakes to Avoid When Starting a Career in Data Science

In this contributed article, IT and digital marketing specialist Natasha Lane, highlights how the shortage of data science talent is dramatic, but there are still a few mistakes you can make getting your foot in the door. These are the types of mistakes that can slow down your initial career progress, so the article covers them to help you make sure you’ll avoid the pitfalls.

NVIDIA A100, A40 and NVIDIA RTX A6000 Ampere Architecture-Based Professional GPUs Transform Data Science and Big Data Analytics

Scientists, researchers, and engineers are solving the world’s most important scientific, industrial, and big data challenges with AI and high-performance computing (HPC). Businesses, even entire industries, harness the power of AI to extract new insights from massive data sets, both on-premises and in the cloud. NVIDIA Ampere architecture-based products, like the NVIDIA A100 or the NVIDIA RTX A6000, designed for the age of elastic computing, deliver the next giant leap by providing unmatched acceleration at every scale, enabling innovators to push the boundaries of human knowledge and creativity forward.

Interview: Targeting is Becoming a Data Science Problem

I recently caught up with Miguel Araujo, Director of Data Science at Semasio, to explore the question: with the impending loss of the cookie and changing nature of tracking user IDs, what does the future of targeting look like? Moving forward, advertisers must reference and merge a plethora of user attributes to make predictions about target audiences. As such, the traditional boundaries of targeting will begin to erode — becoming more of a data science problem.

How Machine Learning and Data Science Can Advance Nutrition Research

In this special guest feature, Kyle Dardashti, CEO & Founder of Heali, discusses how machine learning and data science bring exciting potential to the world of personalized nutrition. Combining these two technologies together on a cohesive platform that supports continuous tracking would allow for real-time validated nutrition recommendations tailored to an individual’s lifestyle.

How AutoML is Accelerating Time to Value on Data Science Use Cases

In this contributed article, Chetan Alsisaria, CEO & Co-Founder of Polestar Solutions & Services Pvt Ltd., takes a closer look at a popular ML use case and how decision making can be improved by applying ML and deriving value from it. Investing in data science processes can add value in several ways – influencing critical decisions in recruitment, marketing, sales, supply chain, operations and many more.

Data Science Salon for Healthcare, Finance & Technology

insideBIGDATA is pleased to announce that it is a Community Partner for the upcoming “Data Science Salon for Healthcare, Finance & Technology” virtual event (use special discount code: insideBIGDATA20 when registering). DSS Virtual Salon | Applying AI & Machine Learning to Healthcare, Finance & Technology is the only industry conference that brings together specialists in healthcare, finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere.

Data Science Salon Virtual Healthcare, Finance & Technology

DSS Virtual Salon | Applying AI & Machine Learning to Healthcare, Finance & Technology is the only industry conference that brings together specialists in healthcare, finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere.

New Survey of Data Science Pros Finds that AI Explainability is their Top Concern

In late October 2020, venture capital firm Wing conducted a survey, “Chief Data Scientist Survey,” of 320 of the senior-most data scientists at both global corporations and venture-backed startups, in advance of its annual Wing Data Science Summit. AI explainability came out on top as the leading concern.

2021 Trends in Data Science: The Entire AI Spectrum

In this contributed article, editorial consultant Jelani Harper takes a look at 2021 and how data science will increasingly prioritize integrating the entire spectrum of data and AI methods, including aspects of its statistical and knowledge base, into daily deployments across the enterprise.