In 2023, machine learning (ML) is a powerful enabler for Data Management, revolutionizing the way organizations handle and analyze vast amounts of data. ML, a subset of artificial intelligence (AI), offers various approaches to tackle Data Management challenges. With the ever-increasing “volume, velocity, and variety of data” being generated today, traditional methods of Data Management have become […]
Using AI and Machine Learning with Data Governance
Anomalous data can be disastrous to enterprise Data Management. Data corruption frequently occurs due to data silos or inconsistent data formats, divergent views of data through different systems, human errors, multiple data entries of the same data by multiple users, poor Data Governance and many more reasons. With an ever-growing stream of high-volume, high-velocity data […]
Data Science Tools: Smart Assistants for Data Analytics
In a globally competitive world, businesses that haven’t invested in Data Science tools can have difficulty making timely decisions or applying actionable insights. Today, data scientists’ greatest asset is the technology platforms or the tools that they have access to. The tools of the trade can mine and analyze petabytes of data in seconds and […]
How Synthetic Data Powers Real-World AI Applications
Click to learn more about author Ashok Sharma. Machine learning (ML) algorithms are everywhere these days. AI applications aren’t something that will be present in the future. They’re already here and have begun making an impact on our lives. AI usage is currently in an embryonic stage and faces significant challenges. The biggest challenge surrounds the […]
Advances in Machine Learning
There is little doubt machine learning has become one of the most powerful technologies in the last decade. The emphasis on “learning” in machine learning allows computers to make better and better decisions, based on previous experiences. Advances in this technology have allowed for recent breakthroughs that promote faster and more efficient business intelligence, using […]
Challenges of Data Quality in the AI Ecosystem
Artificial intelligence (AI), encompasses the broad fields of data capture, data storage, data preparation, and advanced data analytics technologies. In other words, AI systems are not limited to a single aspect of Data Management; rather, they are increasingly penetrating any and every aspect of business through allied data technologies like machine learning (ML), deep learning, […]