insideBIGDATA

APRIL 19, 2024

In this contributed article, Ranjeeta Bhattacharya, senior data scientist within the AI Hub wing of BNY Mellon, points out that In the world of AI and LLMs, finding appropriate training data is the core requirement for building generative solutions. As the capabilities of Generative AI models like Chat GPT, DALL-E continues to grow, there is an increasing temptation to use their AI-generated outputs as training data for new AI systems.

AI 363

AI AI Data Scientist Big Data 363

insideBIGDATA

APRIL 18, 2024

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 243

Big Data Big Data Cloud Data Database 243

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APRIL 18, 2024

In this contributed article, Rajesh Viswanathan, Chief Technology Officer for Inovalon, discusses how for the past year, AI was at the center of conversations throughout healthcare. While the potential for AI to revolutionize healthcare is clear, from care delivery to enhancing operational efficiencies and accelerating research, many organizations are still figuring out where to begin.

Artificial Intelligence 332

Artificial Intelligence Artificial Intelligence AI AI 332

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APRIL 17, 2024

Vero AI, an analytical engine and scoreboard that helps enterprises fully harness the potential of advanced technology including artificial intelligence while minimizing risk, announced the findings of its inaugural “Generating Responsibility: Assessing AI Using AI” report.

Artificial Intelligence 195

Artificial Intelligence Artificial Intelligence AI AI 195

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MARCH 22, 2024

GTC—Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and NVIDIA (NASDAQ: NVDA) today announced that the new NVIDIA Blackwell GPU platform—unveiled by NVIDIA at GTC 2024—is coming to AWS. AWS will offer the NVIDIA GB200 Grace Blackwell Superchip and B100 Tensor Core GPUs, extending the companies’ longstanding strategic collaboration to deliver the most secure and advanced infrastructure, software, and services to help customers unlock new generative artificial intelligence (AI) ca

AWS 221

AWS Artificial Intelligence Artificial Intelligence AI 221

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MARCH 21, 2024

Kinetica, the real-time GPU-accelerated database for analytics and generative AI, unveiled at NVIDIA GTC its real-time vector similarity search engine that can ingest vector embeddings 5X faster than the previous market leader, based on the popular VectorDBBench benchmark.

Database 434

Database Analytics Analytics AI 434

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MARCH 21, 2024

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 448

Big Data Big Data Cloud Data Database 448

insideBIGDATA

MARCH 20, 2024

Cloudera, the data company for trusted enterprise AI, today announced its expanded collaboration with NVIDIA. Cloudera Powered by NVIDIA will integrate enterprise-grade NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform, into Cloudera Machine Learning, a Cloudera Data Platform service for AI/ML workflows, to deliver fast, secure, and simplified end-to-end generative AI workflows in production.

Machine Learning 221

Machine Learning Machine Learning AI AI 221

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MARCH 20, 2024

DDN®, a global leader in artificial intelligence (AI) and multi-cloud data management solutions, announced the latest addition to its powerful A3I® solutions, the DDN AI400X2 Turbo. 30% more powerful than the AI400X2, the previous industry performance leader, the AI400X2 Turbo boasts faster performance and expanded connectivity options.

Artificial Intelligence 221

Artificial Intelligence Artificial Intelligence Cloud Data AI 221

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MARCH 19, 2024

In this contributed article, Krishna Sai from SolarWinds discusses how IT service management (ITSM) is at a crossroads. In recent years, IT teams have drastically changed how they communicate and collaborate. The evolution of IT infrastructure with the advent of cloud computing and big data has led to larger fleets of servers, more storage systems, and more complicated networks.

Cloud Computing 221

Cloud Computing Big Data Big Data AI 221

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MARCH 19, 2024

GTC 2024—Powering a new era of computing, NVIDIA announced that the NVIDIA Blackwell platform has arrived — enabling organizations everywhere to build and run real-time generative AI on trillion-parameter large language models at up to 25x less cost and energy consumption than its predecessor.

AI 427

AI AI Deep Learning Deep Learning 427

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MARCH 18, 2024

In this contributed article, Josh Reini, Developer Relations Data Scientist, TruEra, discusses how gaining the required confidence to deploy GenAI apps at scale can be challenging, and structured evaluation has gained recognition as a key requirement on the path from science experiment to customer value. Evaluation frameworks can play a critical role in this journey by allowing developers to run experiments faster and gain systematic validation for production readiness.

Data Scientist 424

Data Scientist Deep Learning Deep Learning Data Science 424

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MARCH 16, 2024

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, explores the origins of NumPy and SciPy with their creator, Dr. Travis Oliphant. Dr. Oliphant shares his journey from personal need to global impact, the challenges overcome, and the future of these essential Python libraries in scientific computing and data science.

Data Scientist 221

Data Scientist Machine Learning Machine Learning Data Science 221

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MARCH 15, 2024

Zapata Computing, Inc., the Industrial Generative AI company, announced that its scientists, in collaboration with Insilico Medicine, the University of Toronto, and St. Jude Children’s Research Hospital have demonstrated the first instance of a generative model running on quantum hardware outperforming state-of-the-art classical models in generating viable cancer drug candidates.

AI 243

AI AI Deep Learning Deep Learning 243

insideBIGDATA

MARCH 14, 2024

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 488

Big Data Big Data Deep Learning Deep Learning 488

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MARCH 13, 2024

In this contributed article, Philip Miller, a Customer Success Manager for Progress, discusses how embracing an agile data platform, which enables an organization to navigate the complex volume of data effectively, is crucial for survival in today’s data-driven business landscape. In today’s global marketplace, moving from a rigid data management to a dynamic platform allows organizations to extract meaningful insights quickly, which in turn fosters innovation and resilience.

Big Data 458

Big Data Big Data Database 458

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MARCH 13, 2024

As we look at the future of AI and the challenges it faces, who better to provide insights than Vladimir Stojanovic, CTO and co-founder of Ayar Labs. In this Q&A interview, we’ve asked Vladimir a dozen questions about how Ayar Labs’ technology is enabling the growth of generative AI.

AI 243

AI AI Deep Learning Deep Learning 243

insideBIGDATA

MARCH 12, 2024

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Big Data 221

Big Data Big Data Cloud Data Database 221

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MARCH 5, 2024

In this contributed article, Sumit Mittal, a Senior Product Director at Blue Yonder, explores the transformative impact of AI-powered rebalancing and optimization techniques on B2B order management in dynamic environments. He introduces a solution encompassing a dynamic rebalancing algorithm and an intelligent layer, leveraging AI and ML-powered pattern analysis for optimized decision-making.

ML 195

ML ML AI AI 195

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MARCH 4, 2024

Hammerspace, the company orchestrating the Next Data Cycle, unveiled the high-performance NAS architecture needed to address the requirements of broad-based enterprise AI, machine learning and deep learning (AI/ML/DL) initiatives and the widespread rise of GPU computing both on-premises and in the cloud. This new category of storage architecture – Hyperscale NAS – is built on the tenants required for large language model (LLM) training and provides the speed to efficiently power GPU clusters of

Deep Learning 221

Deep Learning Deep Learning Clustering Machine Learning 221

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MARCH 2, 2024

In this contributed article, Charlie Lougheed, CEO and co-founder of Axuall, explains why healthcare needs to adjust its thinking and in what ways clinician big data can make impactful changes throughout the healthcare industry, from credentialing to attrition.

Big Data 195

Big Data Big Data 195

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MARCH 2, 2024

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by poolside co-founder and CEO Jason Warner who sheds light on how code-specialized LLMs could vastly outperform generalized counterparts like GPT-4.

Data Scientist 397

Data Scientist Machine Learning Machine Learning Deep Learning 397

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FEBRUARY 24, 2024

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Founder of Quickchat AI Piotr Grudzień who believes the key to any successful AI platform is to ensure it can be tailored to a company’s specific needs.

Data Scientist 221

Data Scientist Machine Learning Machine Learning AI 221

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FEBRUARY 23, 2024

In this contributed article, Erfane Arwani, founder and CEO of Biomemory, discusses how molecular computing (using molecules rather than traditional silicon chips for computational tasks) could be a critical component in revolutionizing data storage, despite the exponential growth of AI.

AI 273

AI AI Big Data Big Data 273

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FEBRUARY 23, 2024

In this contributed article, Ajay Kumar, CEO at SLK Software, discusses how generative AI provides unprecedented impact and effortless integration for the banking, insurance, and manufacturing industries.

AI 221

AI AI Deep Learning Deep Learning 221

insideBIGDATA

FEBRUARY 22, 2024

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 243

Big Data Big Data Deep Learning Deep Learning 243

insideBIGDATA

FEBRUARY 21, 2024

Our friends over at Veritas just released a new survey revealing that workers are oversharing with generative AI tools, putting businesses at risk. Nearly a third (31%) of global office workers admitted to inputting potentially sensitive information into generative AI tools, such as customer details or employee financials.

AI 221

AI AI Deep Learning Deep Learning 221

insideBIGDATA

FEBRUARY 13, 2024

VAST Data, the AI data platform company, today announced a groundbreaking partnership with Run:ai, a leader in compute orchestration for AI workloads. This collaboration marks a monumental step in redefining AI operations at scale, offering a full-stack solution encompassing compute, storage, and data management. Together, VAST and Run:ai are addressing the critical needs of enterprises embarking on large-scale AI initiatives.

AI 221

AI AI Deep Learning Deep Learning 221

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FEBRUARY 12, 2024

In this contributed article, Tanya Bragin, product lead at ClickHouse, offers a thesis premised on an industry-wide shift from OLTP databases like Postgres for everything and into OLTP for certain functions and OLAP for others.

Database 195

Database Big Data Big Data 195

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FEBRUARY 12, 2024

In this contributed article, editorial consultant Jelani Harper discusses a number of hot topics today: computer vision, data quality, and spatial data. Computer vision is an extremely viable facet of advanced machine learning for the enterprise. Its utility for data quality is evinced from some high profile use cases. This technology can produce similar boons for other facets of the ever-shifting data ecosystem.

Data Quality 418

Data Quality Machine Learning Machine Learning Deep Learning 418

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FEBRUARY 5, 2024

In this contributed article, Corne Nagel, Lead Data Scientist at IKASI, provides key considerations for embarking on an AI initiative and discuss how by embracing AI, organizations can unveil hidden patterns, anticipate trends, and unlock a realm of possibilities that traditional analytics could never fully capture. He also shares how businesses across industries are leveraging this dynamic shift to achieve hyper personalization down to the individual level to significantly improve the customer

Analytics 418

Analytics Analytics Data Scientist AI 418

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FEBRUARY 5, 2024

Our friends over at Sony AI have prepared a special set of compelling technology predictions for the year ahead. The Sony AI team is comprised of researchers and leaders with backgrounds in deep reinforcement learning, data science, law, privacy and security, and more. They each offer different perspectives on topics related to AI ethics and policy, the use of AI to augment creativity and scientific research, emerging AI training methods, and more.

Big Data 498

Big Data Big Data AI AI 498

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FEBRUARY 3, 2024

To glean insights, Gradient AI conducted a survey among 100+ customers across diverse insurance companies, revealing four noteworthy AI trends influencing the future landscape of the insurance sector.

AI 221

AI AI Deep Learning Deep Learning 221

insideBIGDATA

FEBRUARY 2, 2024

In this contributed article, Tom Scott, CEO of Streambased, outlines the path event streaming systems have taken to arrive at the point where they must adopt analytical use cases and looks at some possible futures in this area.

Analytics 363

Analytics Analytics Data Lakes Big Data 363

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JANUARY 26, 2024

In this contributed article, IT Professional Subhadip Kumar draws attention to the significant roadblock that data silos present in the realm of Big Data initiatives. In today's data-driven landscape, the seamless flow and integration of information are paramount for deriving meaningful insights. Unfortunately, data silos pose a formidable challenge to the success of Big Data endeavors.

Data Silos 448

Data Silos Big Data Big Data Big Data Analytics 448

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JANUARY 25, 2024

Welcome insideBIGDATA AI News Briefs BULLETIN BOARD, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies.

Deep Learning 221

Deep Learning Deep Learning AI AI 221

insideBIGDATA

JANUARY 25, 2024

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 467

Big Data Big Data Cloud Data Database 467