Redapt | AI/ML (4)
- Enterprise Infrastructure
- Data & Analytics
- Cloud Adoption
- Cloud Native
- Workplace Modernization
- Application Modernization
- Google Cloud Platform (GCP)
- Multi-Cloud Operations
- Tech We Like
- Security & Governance
- Dell EMC
- IoT and Edge
- Business Transformation
- Managed Services
- Microsoft Azure
- Emerging Tech
- Google Resale
As enterprises dive into AI adoption, it is critical that they understand industry trends. The recent Forbes article, Top Artificial Intelligence (AI) Predictions for 2020 from IDC and Forrester...
Artificial Intelligence (AI) has graduated from buzzword to technical reality. For many enterprises, however, large hurdles remain in actually adopting AI into their businesses.
From chatbots to fraud detection to remote resource monitoring, enterprises are increasingly adopting artificial intelligence (AI). But while it can be tempting to jump right into the game, ...
High-performance AI is the key to unlocking insights and opportunities in data-intensive environments.
There’s a lot of potential in Machine Learning (ML). Unfortunately, there are also a number of obstacles companies hit when it comes to realizing that potential.
In 1986, Tom M. Mitchell published this definition in his ground-breaking book Machine Learning:
Artificial intelligence (AI) is a powerful tool that can be leveraged to extract insights from massive amounts of data.
But to take advantage of this, your data must be structured so that AI can...
Most IT systems reside in silos. Businesses face challenges when processing large volumes of heterogeneous data at a rapid pace through various systems. If something goes wrong, fixing the problem...