Data is vital when it comes to growing a business, but many organizations fail to utilize it properly once it has been collected. At the same time, many forward-thinking businesses, from startups to large corporations, have implemented a modern cloud analytics stack to use data more efficiently. In this article, we will discuss how a modern […]
Major AI Trends for Traditional Enterprises in 2023
Post-pandemic, the demand for AI is surging, as many organizations ascertain the need for AI to keep pace with the current business landscape in the face of a looming recession. AI can help enterprises improve business processes, increase speed and accuracy, and help make predictions to optimize their performance. In 2023, there will be many ways […]
Data Science and Privacy: Defending Sensitive Data in the Age of Analytics
When big data began getting corporate attention in the late 2000s, the idea of data privacy was considered lavish and exotic. The public was less concerned about securing their data assets and was only fascinated by the fact that the interconnected digital world would change their lives forever. As we soon step into 2023, the […]
Dear Laura: Data Governance Budget Woes
Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe […]
It’s All About Relations!
The new ISO 39075 Graph Query Language Standard is to hit the data streets in late 2023 (?). Then what? If graph databases are standardized pretty soon, what will happen to SQL? They will very likely stay around for a long time. Not simply because legacy SQL has a tremendous inertia, but because relational database paradigms […]
Achieving Digital Resiliency and Agility with Organizational Change Management
IDC’s recent Future Enterprise Resiliency and Spending survey found that 65% of global decision-makers expect concerns about supply chain disruption, inflation, labor shortages, geopolitical tensions, and COVID variants to continue restraining the pace of recovery in global economic activity through the last quarter of the year and into 2023. The biggest challenge that companies face today is managing through […]
Interactive Bioactivity Prediction with Multitask Neural Networks
A CHEMBL-OG post, Multi-task neural network on ChEMBL with PyTorch 1.0 and RDKit, by Eloy, from way back in 2019 showed how to use data from ChEMBL to train a multitask neural network for bioactivity prediction – specifically to predict targets where a given molecule might be bioactive. Eloy has links to more info in his […]
Business User Analytics: The Do’s and Don’ts of Success
When a business decides to tackle data democratization and bring data analytics to its business users, it can often fail to plan comprehensively for success. While selecting the right augmented analytics solution is crucial, the business team must also plan for user adoption and solution acceptance. Without that key component, the enterprise will likely spend […]
Data Classification Can Make or Break Data Governance
The cost of data loss is staggering – and avoidable. The news these days is full of massive fines levied against companies that failed to protect their customer data. An effective data classification approach is one of the best ways to ensure that companies can identify and protect their most valuable data. Our experience continues to […]
APIs and Data Sharing: Key Challenges to Address
Realizing the full potential of real-time data sharing among partners in an organization’s ecosystem is a crucial component of digital transformation. For digital businesses to progress quickly, it will take more than just better data management and more insightful analysis. All of these endeavors should result in quantifiable gains for the company. According to Gartner, “Data […]