Data cleansing (aka data cleaning or data scrubbing) is the act of making system data ready for analysis by removing inaccuracies or errors. This process prevents questionable and costly business decisions based on messy data. Data volumes and sources have grown much bigger and are expected to scale up even quicker. Companies wish to access […]
Knowledge Graphs for Robust Data Governance
More data, more sources, more conflicts. More self-service reporting, more cross-functional analytics, more government and industry regulations. Without a way to govern all the data in their possession, businesses are not going to do well at creating reports or dashboards or building data consensus across departments. Nor will they feel confident that they’re not missing […]
The Hybrid Approach to Responsible AI
Click to learn more about author Luca Scagliarini. Artificial intelligence (AI) is on an upward growth trend and there is no sign it will level off any time soon. Recent research by Fortune Business Insights suggests the market will jump nearly tenfold from $27.23 billion in 2019 to $266.92 billion by 2027. This represents a staggering […]
Artificial Intelligence, Machine Learning, and Data Protection
Artificial intelligence and machine learning techniques are altering the way organizations gather, process, and protect data. They are being used to gather massive amounts of information about internet users in the form of big data, and to secure and protect it. The challenge is how to maximize the use of big data, while simultaneously safeguarding […]
The Benefits of Making Computer Vision Investments as a Retailer
Click to learn more about author Henry Bell. We live in a time when e-commerce giants like Amazon have raised the standards for customer experience. This has affected not only other online stores but traditional retailers as well. Offline stores are bound to become more reliant on data collection to provide their customers with a […]
Is Streaming Analytics the Future of Business Analytics?
Analyzing data as it is created or changes? Is that possible? Now it is, with streaming analytics, which monitors and responds to continuously flowing data from connected devices and live data channels like the sensors, machine logs, relational databases, social media feeds, location data sources, and so on. The core differentiator of streaming analytics is […]
Why I Believe the Hyperautomation Hype – and You Should Too
Click to learn more about author Mathias Golombek. Just when you’d got to grips with automation, along comes hyperautomation. The buzzword cynics will think that’s a bad joke, a Will Farrell-style parody of a “top trend to watch!” from yet another thought leader. I’d usually count myself among those cynics, but on this occasion, I’m sold […]
Why the Future of Bots Relies on Regulation
Click to learn more about author Or Lenchner. How do we define bots? Why were they developed? Bots are about enhancing efficiency, and efficiency can be used to free up resources for further growth. They automate manual work to make us faster. What was once a day-long or even week-long task is now reduced to mere […]
AI Is Booming with Image Recognition, but Audio Recognition Lags Behind
Click to learn more about author Rachel Roumeliotis. Artificial Intelligence (AI) has made considerable inroads in the enterprise. Image recognition technology, in particular, has been gaining steam, helping users achieve tasks from assisting in screening and diagnosis of disease through medical imaging, to enabling self-driving cars to accurately interpret their surroundings. However, there is still […]
Transparent Machine Learning: Key Steps and Tips for Getting Started
Click to learn more about author Deepak Dube. While machine learning is an involved science with complex models, what distinguishes transparent machine learning is that it explains itself – how it works, its predictions, its insights – so that the user understands and trusts the outcome. In this article, I explain what transparent machine learning […]