With Selipsky Out, What’s Next For AWS?

On May 14, AWS announced Adam Selipsky’s departure as CEO and that Matt Garman, AWS senior VP of sales and marketing, would replace him in June. Selipsky’s reasoning for this move was to “spend more time with family for a while, recharge a bit, and create some mental free space to reflect and consider the…

Read More

The End of Agile – Part 5 (Misapplications of Agile)

In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We…

Read More

A Brief History of Data Quality

The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact-checking and Data Governance, and, as a consequence, make decisions that give them an advantage….

Read More

Types of Data Visualization and Their Uses

In today’s data-first business environment, the ability to convey complex information in an understandable and visually appealing manner is paramount. Different types of data visualization help transform analyzed data into comprehensible visuals for all types of audiences, from novices to experts. In fact, research has shown that the human brain can process images in as little as…

Read More

The End of Agile – Part 4 (Lessons from Agile)

In my first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We…

Read More

The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights

Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI)…

Read More

Dashboard Tools for Data Analytics

In the world of data analytics, dashboard tools are pivotal instruments, distilling vast quantities of complex data into comprehensible, actionable insights. These tools are not mere luxuries but necessities for organizations aiming to navigate the data-rich environment of today’s digital businesses. By leveraging dashboard tools, businesses can transform raw data into a visually engaging and…

Read More

Three Takeaways From Forrester’s 2024 Evaluation Of AI Infrastructure Solutions

As AI gets bigger and better, it requires much more than mundane commodity compute, network, and storage infrastructure. GPUs are only one part of this — AI workloads demand a finessed optimization of raw compute, data throughput, and power consumption. Whether consumed as a cloud service, footprinted on-premises, or a hybrid of both, AI infrastructure…

Read More