Deep learning and neural networks are picking up steam in applications like self-driving cars, radiology image processing, supply chain monitoring and cybersecurity threat detection.
Hackers are now using rich personally identifying information, including device types and browser versions, cookies and web histories, and even voice recordings to gain account access or commit fraud.
For many organizations, AI remains a mystery not to be trusted in production, thanks to its lack of transparency. But demand, advances, and emerging standards may soon change all that.
Data is fast replacing code as the foundation of software development. Here’s how leading organizations anticipate processes and tools transforming as developers navigate this paradigm shift.
Intelligent tools are the only way to stay abreast of the current rate of change in the network.
Manual penetration testing is quickly becoming obsolete, with AI-powered tools offering a way to cover the bases.
When enterprises adopt new technology, security is often on the back burner. It can seem more important to get new […]
Data issues are among the chief reasons why AI projects fall short of expectations. But if you can learn from the mistakes and commit to the long term, your AI efforts are more likely to pay off.
To reach full analytics potential, machine learning platforms powered by AI must provide scalability, handle multiple models, integrate with data sources and be cloud-friendly.
Enterprises are undertaking AI pilots and putting artificial intelligence into production. Here’s where leading organizations are placing their bets — and seeing early results.
Looking to move beyond point solutions and proofs of concept? Here’s what it takes to develop to a holistic AI strategy honed for business results.
IT executives say pricing models, agility and auditability are some of the biggest challenges they have faced in managing today’s increasingly complex data pipelines.
In the AI-fueled security wars, most of the arsenal is currently in the hands of the good guys, but the balance of power might soon change.
Organizations seeking to reap the full benefits of robotic process automation are beginning to see artificial intelligence as a key technology for optimizing their process flow.
Digging into customer analytics can improve sales opportunities — but how does an organization balance that against data privacy concerns? Get insights from data professionals.