AI in retail: Survival depends on getting smart
Machine learning is fast becoming a must-have for retailers looking to stave off disruption, but the barriers to entry — upfront cost and data prep — remain an obstacle for most.
Tag: AI
Data visualization in machine learning boosts data scientist analytics
Data scientists offer practical insights into the role of visualization tools in building, exploring, deploying and monitoring their machine learning models.
Salesforce acquisition of Tableau likely to bring changes
Since Salesforce’s Tableau acquisition, many have wondered what will happen to Tableau’s on-premises customers. Find out what industry experts have to say.
Deep learning and neural networks gain commercial footing
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.
Rich PII enables sophisticated impersonation attacks
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.
Explainable AI: Bringing trust to business AI adoption
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.
Rethinking software development in the AI era
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.
Latest Data Center Network Security Strategies Revolve Around Intelligence
Intelligent tools are the only way to stay abreast of the current rate of change in the network.
How AI Fuzzing Can Protect a Data Center or Be Its Worst Enemy
Manual penetration testing is quickly becoming obsolete, with AI-powered tools offering a way to cover the bases.
How secure are your AI and machine learning projects?
When enterprises adopt new technology, security is often on the back burner. It can seem more important to get new […]
6 reasons why AI projects fail
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.
More to machine learning platforms than meets the AI
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.
AI’s top use cases today
Enterprises are undertaking AI pilots and putting artificial intelligence into production. Here’s where leading organizations are placing their bets — and seeing early results.
Anatomy of an enterprise-scale AI strategy
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.
Today’s top data pipeline management challenges
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.