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Big data, machine learning and AI News
June 14, 2019
Microsoft AI Builder empowers nonprogrammers to incorporate AI as they build applications using low-code/no-code platforms.
June 06, 2019
By acquiring Looker, Google will enhance its analytics and BI capabilities available through Google Cloud, while becoming a formidable force in the enterprise-level BI space.
May 15, 2019
Qlik advances its plan to be a cloud- and SaaS-first analytics vendor with new multi-cloud and Kubernetes deployment options. But on prem still is a priority -- for now.
April 10, 2019
Google's newly unveiled AI Platform offers AI developers a collaborative environment to test, train and deploy machine learning and deep learning models.
Big data, machine learning and AI Get Started
Bring yourself up to speed with our introductory content
Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications. Continue Reading
Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems. Continue Reading
This handbook offers advice on choosing machine learning platforms and using them to get accurate and meaningful information from analytics applications. Continue Reading
Evaluate Big data, machine learning and AI Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
AWS, Microsoft and Google can add speech-to-text capabilities to apps, but they're not your only option. Compare those cloud-based tools to other AI-infused transcription services. Continue Reading
HPC applications need a lot of resources, but not all enterprises can meet those requirements. However, new cloud services are emerging to address that gap in the market. Continue Reading
Managed NoSQL databases are increasingly popular for app development. Compare two such options from Google -- Realtime Database and Cloud Firestore -- to see if they meet your needs. Continue Reading
Manage Big data, machine learning and AI
Learn to apply best practices and optimize your operations.
Google took a different approach than AWS and Microsoft when it built a service for ad hoc SQL queries. See how that played a role in the latest round of updates to BigQuery. Continue Reading
Moving analytics to the cloud opens a lot doors for users, but only if they keep costs in check and understand the 5 V's of big data -- volume, variety, velocity, veracity and value. Continue Reading
Machine learning and deep learning increasingly make their way into the enterprise. Assess which AI technology is right for you, and the public cloud services that support them. Continue Reading
Problem Solve Big data, machine learning and AI Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
Joan Pepin, CISO and vice president of operations at Auth0, says cybersecurity automation makes her job possible, but it can't replace the human talent her industry badly needs. Continue Reading
AI and machine learning technologies can broaden an application's capabilities, but they can also open an enterprise to new threats. Continue Reading
It seems like everything's in motion these days. Streaming data is no exception. With the avenues of information proliferating, it's critical that companies extract value from incoming data in real time, enabling them to devise successful business ... Continue Reading