What is DBRX and How is it Different from Other LLMs?
It’s boom time for Large Language Models (LLM). The early movers, such as GPT-3 and GPT-4, and Google’s LaMD and Bard, have become very popular and unlocked several cutting-edge applications. The latest LLM off the block is Databricks RX or DBRX. How is DBRX Similar to Other LLMs? First the similarities. Like all other LLMs, […]
Meeting Today’s Security Challenges through Data Analytics
Cyber threats get meaner with every passing day, and show no signs of abating. Conventional security deployments no longer suffice for new business models that attract complex threats. For instance, the bulk of the network traffic in today’s age of remote work comes from outside the network firewall. Such changed realities necessitate new approaches to […]
Is your Data Governance Ready to Handle the Risks Posed by Artificial Intelligence?
Data governance means organizing data at the enterprise level. Artificial Intelligence, at its core, involves generating insights from data. Machine Learning algorithms match present situations to the past and apply time-tested solutions. As the algorithm processes more data and decisions get validated, the output becomes better and more accurate. There is a direct relationship between […]
How AI-Driven Decision Making Can Fuel Your Business Growth
The initial wave of AI-based applications replaced humans to improve efficiency and cut costs. Newer AI-powered applications help enterprises make better decisions, manage risks, and fuel innovation. Advances in AI help leaders make informed decisions to address complex challenges and fuel growth. 1. Increased volumes and turnover through improved sales and marketing Many enterprises have […]
5 Steps to Transition from Traditional ITOps to Automated AIOps
The AIOps Market was worth USD 13.51 billion in 2020 and will touch USD 40.91 billion by 2026, with a CAGR of ~21.05%. Traditional IT cannot cope with the sheer volume, velocity, and variety of data in today’s digital age. To cope, smart businesses upgrade from traditional ITOps to automated AIOps. AIOps marks a shift […]
Five Reasons Why Data Science Projects Fail
Data science and machine learning are the key drivers of digital transformation. But beyond the hype, deriving business value from data science projects is tough. A study by Dimensional Research reveals just 4% of companies succeed in deploying Machine Learning models to a production environment. And, even worse, the gap between enterprises gaining value from […]
How to Drive Machine Learning Without Adding New Talent
Automation is the flavour of the season, as businesses grapple with skills shortage and high HR costs. As the benefits of machine learning pan out, the C-suite is investing in automating more and more complex processes. The rise in automation lifts Artificial Intelligence (AI). 52% of CIOs now automate complex tasks, and 49% of them […]
