Artificial Intelligence & Machine Learning
Most AI we encounter today is of the weak variety, but we’re making strides toward smart technology that learns and grows over time. This is where machine learning (ML), a subset of AI, comes into play. ML algorithms are reaching a level where they are successfully learning and executing based on the data around them, some (e.g. unsupervised ML) without the need to be explicitly programmed. From sorting mountains of data to finding useful patterns in it, tedious data-heavy tasks that could take humans hundreds of hours can now be done with an ML algorithm in a fraction of the time. This technology can already be seen in action in things like autonomous vehicles, cybersecurity technology and more. It’s just the beginning, especially at the rate data is being generated every second.
Why AI and ML?
The Barriers to the Human + Tech Connection
But there are barriers:
Data Volume and ComplexityAs data continues to surge, much of it unstructured or semistructured, making it much more difficult to make sense of and discover patterns than with the structured data from relational databases.
Data PrepData prep & ensuring good data quality is one of the key challenges to realizing value from AI & ML. Before any analysis can happen, it’s critical to explore and understand and then prepare it, formatting and cleaning the data. This accounts for the most intensive, manual steps for data scientists, often said to take 80% of their time.
Many Tools and TechnologiesTypically to get value from AI & ML, it requires many different steps, tools and technologies. Organizations are slowed by having to move, aggregate and correlate data from disparate tools and systems. They need the ability to easily manage and apply machine learning to their real-time production environments using a single platform
Combine Human and Machine
Leverage AI and ML for actionable and predictive insights
Detection of unknown threats and anomalous behavior. Customizable AI and ML for data scientists across use cases.
Gartner's recommendations on how to optimize IT operations to drive business value.