Data analytics have been used for decades to enhance business insight and drive efficiency, growth and innovation. However, the addition of intelligent algorithms and cloud computing power offers potentially game-changing opportunities to push these benefits even further. The challenge, as ever, is to ensure the underlying data itself is…
Artificial intelligence will dramatically increase the pace of software development and make continuous delivery routine. Processes and roles will need to evolve, especially testing.
In a game of chess, skilled players need to think in two ways at once. Tactically, they need to be able to respond to the immediate situation on the board, countering threats and finding ways of putting pressure on their opponent. Strategically, they need to see into the future and understand how their moves might open up vulnerabilities that their opponent can exploit later down the line, and make sure they have a plan in place to respond. In short, it’s as much about avoiding unintended outcomes as it is about achieving intended ones – and learning to see the board in this way doesn’t happen overnight.
The democratization of Artificial Intelligence (AI) makes it easier for organizations to transform their business with AI. It wasn’t that long ago that applying AI to transform a business required a lot of technical expertise and hiring resources from a scarce talent pool. Let alone the expensive infrastructure to achieve such a feat. And something that only larger organizations can afford and justify as they are working on solving significant problems.
Data-driven companies face a constant battle against downtime, but you can be prepared. Intelligently engineered AI-driven infrastructure lets your IT organization rise above the traditional monitoring tools to deliver the agility and uptime that your business expects.
Introduction I recently joined Stephen Foskett from Gestalt IT on a video podcast to discuss “Improving AI with Transfer Learning”. This podcast is part of a series of podcasts on “Utilizing AI”. The series focuses on Artificial Intelligence (AI) and Machine Learning (ML) practical applications in the modern enterprise…
The next BriefingsDirect Voice of Analytics Innovation discussion focuses on the latest insights into end-to-end data management strategies.
The business of the future will need to take the journey from cybersecurity to cyber resilience if it wishes to protect its valuable data. Malicious parties are on the hunt for valuable data, and your organization is their target. This has long been the fundamental reason behind cybersecurity, but…