New Global Survey Finds Enterprises Lack Direction and Training for Workers on the Use of GenAI Tools   

UiPath (NYSE: PATH), a leading enterprise automation and AI software company, published its annual Global Knowledge Worker Survey that uncovers how employees are using generative AI (GenAI), the shortcomings and risks of the technology, and the opportunity for combining GenAI with business automation. 

Harnessing Big Data for Sustainable Financial Decisions

In this contributed article, freelance writer Ainsley Lawrence suggests that in the financial sector, decision-making often comes with a higher degree of risk, but with insights provided by big data, those risks can be mitigated, leading to increased revenue and enhanced efficiency. 

Brightwave Secures $6 Million Seed Round to Launch AI-Powered Financial Research Assistant

Brightwave, the AI-powered research assistant that generates insightful, trustworthy financial analysis on any subject, today announced $6 million in seed funding. The round was led by Decibel Partners, with backing from Point72 Ventures, Moonfire Ventures, and angel investors including executives from OpenAI, Databricks, Uber, and LinkedIn. Founded by engineers with deep knowledge in AI and finance infrastructure, co-founders Mike Conover and Brandon Kotara have over 20 years combined experience building AI and machine learning products

Personalizing Employee Experiences with Product Analytics

In this contributed article, Vara Kumar, co-founder and head of R&D and pre-sales at Whatfix, discusses how in today’s competitive landscape, harnessing the full potential of product analytics is pivotal for companies seeking to optimize their internal and external product usage. There are multifaceted benefits of leveraging product analytics,
showcasing its ability to provide profound insights into product utilization across an organization.

Lenovo Delivers Next Generation of Intel-Based Infrastructure Solutions to Simplify the AI Journey for Businesses of All Sizes

Lenovo announced the Lenovo ThinkSystem V4 portfolio of Intel-based solutions, powered by Intel® Xeon® 6 processors and designed to make AI accessible while flexibly matching the specific workloads needs of any business. The portfolio includes new AI-enabled solutions that ensure the right mix of AI is available to help customers seamlessly integrate AI into their workflows with new servers that are purpose-built and optimized to maximize performance and efficiency for targeted workloads. Additionally, new AI-powered Lenovo Systems Management solutions now use generative AI to automate and simplify deployment and configuration across increasingly distributed computing networks.  

Western Digital Introduces New AI Data Cycle Storage Framework to Help Customers Capture the Value of AI  

Fueling the next wave of AI innovation, Western Digital (NASDAQ:  WDC) introduced a six-stage AI Data Cycle framework that defines the optimal storage mix for AI  workloads at scale. This framework will help customers plan and develop advanced storage  infrastructures to maximize their AI investments, improve efficiency, and reduce the total cost of  ownership (TCO) of their AI workflows.  

Low Code/No Code

In this contributed article, Ben Kliger, CEO and co-founder, Zenity, explores the connection between AI and no/low code development and how to bring application security measures to the new world of low-code/no-code app development.

In the Era of Cloud and AI, Hard Drives are More Critical than Ever Before 

In this contributed article, Jason Feist, Seagate’s Senior Vice President of Products and Markets, believes that amidst the data center boom and growth of AI, data storage is more important than ever, and it’s high time we revisit the HDD vs. SSD debate. While flash offers latency advantages and prices dropped temporarily, SSDs haven’t – and
never will – replace HDDs,

AI+BI: Bridging Cognitive and Usability Gaps in Business Intelligence

In this contributed article, Saurabh Abhyankar, EVP and Chief Product Officer, MicroStrategy, explains the synergy between the two technologies and how they come together to revolutionize how we understand data, make decisions, and envision the future of business.

From ER Diagrams to AI-Driven Solutions

In this contributed article, Ovais Naseem from Astera, takes a look at how the journey of data modeling tools from basic ER diagrams to sophisticated AI-driven solutions showcases the continuous evolution of technology to meet the growing demands of data management. Understanding how data modeling tools have changed over time gives us important insights into why organizing and analyzing data well is so important.