Where are we in the AI hype cycle? The initial shock of ChatGPT has subsided, and AI cynics now argue that progress in large language models (LLMs) has plateaued. Some argue that the hype is morphing into disillusion. In my opinion, this perception misses what’s most important. While big tech may be struggling to show […]
Cyber Criminals Hate Cybersecurity Awareness Month – and Enterprise Cyber Secure Storage
Certain people are not happy about October being Cybersecurity Awareness Month. They don’t like that more CIOs, CISOs, and IT teams are becoming aware of powerful strategies to protect their enterprises from ransomware and malware attacks. They don’t like that corporate leaders are better understanding how to incorporate cyber storage resilience and recovery into an […]
Key Principles of Data Product Management for Maximizing Business Value
Although almost every company in the world recognizes the power of data, most struggle to unlock its full potential. Companies such as Google, Amazon, and Uber that primarily deal with data are among the most valuable in the world, in terms of market capitalization, business performance, and innovation. One of the key reasons for their […]
Building the AI Workforce: Guidance for Employers and Employees
To successfully hire and retain AI talent, employers must start by taking a step back. What do you want to do? Do you want to retain talent because AI is the next big thing and everybody’s telling you that you need to have AI in your product? That may be true. From a sales perspective, […]
Putting Data Mapping to Work
In my previous blog post, I defined data mapping and its importance. Here, I explore how it works, the most popular techniques, and the common challenges that crop up and that teams must overcome to ensure the integrity and accuracy of the mapped data. Data mapping establishes relationships and connections between data elements so we can […]
Harnessing Data: From Resource to Asset to Product
Companies that are data-driven demonstrate improved business performance. McKinsey says that data and analytics can provide EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25% [1]. According to MIT, digitally mature firms are 26% more profitable than their peers [2]. Forrester research found that organizations using data are three times more […]
Why GenAI Won’t Change the Role of Data Professionals
The recent rise of GenAI has sparked numerous discussions across industries, with many predicting revolutionary changes across a broad range of professional landscapes. While the processes data professionals use and the volume of work they can sustain will change because of GenAI, it will not fundamentally change their roles. Instead, it will enhance their abilities, […]
5 Cutting-Edge Innovations to Boost Your Cybersecurity Defenses
With everything on a business leader’s plate, cybersecurity can often feel like an afterthought. Between managing teams, pursuing new opportunities, and dealing with the bottom line, who has time to keep up with the latest hacker threats and security defenses? Especially if you don’t have your IT staff focused solely on locking down the castle […]
Mind the Gap: Ask for Business Actions, Not Business Value
I’m not sure I know anyone in the data and analytics field whose platform doesn’t face budget scrutiny. Analytics is expensive. And when cost-cutting is the order of the day, analytics is a big target. Up shields. Time for another business value inventory. I’ve spoken with consultants who have completed analytics business value inventories at […]
Data Management in an Industrial Environment
Industrial environments are rich data sources, from equipment pressure and temperature readings to real-time inventory levels. This ocean of data provides organizations with valuable insights when (and if) effectively harnessed. By transforming raw data generated across the floor 24/7 into actionable intelligence, industrial plants are equipped with data-informed insights necessary to create operational strategies that […]