Data teams need to get more productive, and fast, to reconcile booming data supply and demand. Autonomous data management (AutoDM) solutions can help ease bottlenecks for data teams by using metadata, automation, and artificial intelligence to standardise and accelerate data delivery.
While the concept is not new, advances in computing power and advanced analytics algorithms make AutoDM viable for many modern enterprises.
Download this resource to follow the steps shown to achieve the best results with AutoDM software.
Provided by
-
Malware free attacks: The threat to businessesIn-depth Malware free attacks are a growing risk – what can businesses do to mitigate them?
-
State-sponsored cyber groups are flocking to the 'ClickFix' social engineering techniqueNews State-sponsored hackers from North Korea, Iran, and Russia are exploiting the ‘ClickFix’ social engineering technique for the first time – and to great success.
-
Can robots work safely alongside humans? This one industry leader thinks we're not far awayNews Humanoid robots and people will be able to work truly side-by-side this year, according to the CEO of one leading robotics company.
-
Empowering enterprises with AI: Entering the era of choicewhitepaper How High Performance Computing (HPC) is making great ideas greater, bringing out their boundless potential, and driving innovation forward
-
The power of AI & automation: Proactive ITWhitepaper Automation strategies to dynamically and continuously assure cost-effective application performance
-
The CEO's guide to generative AI: Be a creator, not a consumerWhitepaper Innovate your business model with modern IT architecture, and the principles of trustworthy AI
-
Magic Quadrant for enterprise conversational AI platformsWhitepaper An evaluation of the conversational AI platform (chatbot) market
-
Learning and operating Prestowhitepaper Meet your team’s warehouse and lakehouse infrastructure needs
-
Scale AI workloads: An open data lakehouse approachwhitepaper Combine the advantages of data warehouses and data lakes within a new managed cloud service
-
Managing data for AI and analytics at scale with an Open Data Lakehouse approachwhitepaper Discover a fit-for-purpose data store to scale AI workloads
