Memory is what makes or breaks enterprise chat. Using your AI assistant will feel like a toy, not a production system, if it forgets who the user is, loses context between tickets, or asks the same clarifying questions every time. Naive methods that transmit the whole...
Disclaimer: Even though this blog post sounds harsh, I believe the people involved in the mainframe migration of TSB in 2018 acted always in good faith and with the best of the business and customers in mind. They acted according to the best knowledge available at the...
While digital fluency may involve some aspects of data fluency, digital fluency is a broader concept that encompasses a range of skills such as using software applications, navigating platforms, and optimizing workflows via digital means. Data fluency, considered to...
Picture this: On average, organizations lose about $12.9 million due to poor data quality. While the short-term impact is on the revenue, the long-term effect of insufficient data is poor decision-making and data ecosystems’ complexities. The solution? A robust...
Before getting into the details of an Artificial Intelligence (AI) Strategy, let’s first set the foundation to understand what a strategy is. A strategy is the roadmap of the enterprise goals or tasks that a business must achieve. But what are these goals, and how do...
Modern-day data requires enterprise organizations to employ an entire team of data scientists, engineers, and analysts to process and analyze it. Why? Because data is growing at an unprecedented rate, and it comes in all shapes and sizes–structured, unstructured, and...
Businesses are deluged with plentiful data and are under staunch push and in need of generating insights by making sense of that data. Data is truly a game-changer if allowed to go beyond a few teams and is extended to the masses. The good part is that almost every...
A large number of organizations are undergoing digital transformation and need a thorough understanding and assistance in migrating the traditional workloads to the cloud. The pace of cloud migration has accelerated significantly to meet the increase in online demand...
Machine Learning (ML) models have shown great analytical and predictive benefits while processing vast amounts of data. These models provide significant value when deployed in a real-world production environment. DSS Founder and CEO Anna Anisin sat down with Miriam...
The need for gender and racial equality in the workplace is paramount for a successful organization, and data science fields are no different. The tech industry has historically been dominated by white males, and is a space that contains an ever-lasting need for...