Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary. They’ve put the power of artificial intelligence and machine learning (AI/ML) into the hands of everyday users. However, these tools have also skewed our perceptions of what […]
Finding the Right Data Science Role: 4 Key Criteria
Landing a Data Science role is one thing, but joining an organization where you can truly thrive is quite another. As a Data Science talent strategy leader, I can share my perspective on what I believe solid organizations will have in place to foster an engaged and developing data science community. To anyone navigating today’s Data […]
Strong AI/ML Must Be Founded on a Strong Data Strategy
The list of use cases powered by artificial intelligence (AI) and machine learning (ML) technologies is growing exponentially across nearly every business sector. Enterprises of all kinds are leveraging these advanced capabilities and scaling them through automation to improve business process management, sharpen organizational strategies, and reap more analytical and predictive insights from data for […]
Self-Service Data Without Chaos
Information is power, and the ability to put information into the hands of those who can quickly act on it separates the leaders from the laggards in any market. Everyone in an organization – from HR professionals leveraging data to dictate hiring decisions to brand managers leveraging data for pricing optimization – benefits from analytics. […]
The Crucial Role of Data Lifecycle Management in Driving Business Success
No matter what industry you work in, Data Management is increasingly important for your career and performance. Information is no longer separate bits of data – the internet of things (IoT) and big data mean that every piece of data is interconnected. But, to keep your data healthy and secure, you need to be aware […]
Embracing Generative AI, Automation, and Dynamic AI Agents
Technological revolutions rarely happen all at once. The commercial internet launched in 1989, but it would take almost a decade before most businesses depended on it to function. This wasn’t because the technology wasn’t there yet; rather, it was because people are generally resistant to change. They fear the unknown, even when the unknown stands […]
10 Highest-Paying Data Analytics Jobs in 2023
As one of the fastest-growing fields, technology continues to drive transformative changes across various industries, with new advancements emerging each year. Consequently, the demand for data analytics jobs is expected to surge in the near future, with a significant need for data science practitioners worldwide. The U.S. Bureau of Labor Statistics (2021) projects a 22% growth […]
Enterprise Storage: Plugging a Hole in Corporate Cybersecurity Strategies
Chief information security officers (CISOs), along with their staff, typically do not think about enterprise storage. The vast majority say that they think about edge protection, network protection, application protection, and the threat of data theft. They are rightfully interested in trusted execution technology, considering zero-trust architectures for infrastructure assurance and assessments for root of […]
Using Hyperautomation and Process Orchestration to Drive Optimal Efficiency
Organizations are increasingly turning to automation to achieve their most critical business goals. According to the 2023 State of Process Orchestration Report, 95% of teams credit automation for improving operational efficiency, while 94% acknowledge its role in enhancing customer experiences. To automate at scale, many teams implement a mix of technologies, tools, and platforms. One approach […]
How Reducing Bias in AI Models Boosts Success
Artificial intelligence (AI) has the potential to revolutionize industries and improve decision-making processes, but it is not without challenges. One challenge is how to address the issue of bias in AI models to ensure fairness, equity, and satisfying outcomes. AI bias can arise from various sources, including training data, algorithm design, and human influence during […]