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.
Tag: AI
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.
Why It’s Time to Prepare for AI Wielding Hackers
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.
RPA and AI: Business process automation gets smart
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.
6 tips for effective customer data mining
Digging into customer analytics can improve sales opportunities — but how does an organization balance that against data privacy concerns? Get insights from data professionals.
Computer vision AI looks beyond the narrow into the mainstream
Gaining a reputation as a viable technology in niche applications like X-ray scans, fingerprint matching and robotics, computer vision looks to mainstream, commodified apps.
AI is poised to radically transform software development
New tools and cutting-edge projects show how machine learning and advanced analytics may soon revolutionize how software is designed, tested, and deployed.
6 tips for working with AI vendors
For most organizations, DIY artificial intelligence is out of reach. Here’s how to cut through the hype and create business value with off-the-shelf AI.
AI technology: When to build, when to buy
Deciding whether to buy off-the-shelf AI or build your own AI-based business solutions is a complex equation based on available talent, business needs, desired outcomes, lock-in comfort and a rapidly evolving market.
Analytics an uneasy balance between data collection and privacy
In the age of GDPR and privacy regulations, special attention must be paid to user privacy. Data management tools that employ AI as part of analytics can help achieve that balance.
Data science platforms boost automation, collaboration
Data scientists can choose from a growing list of commercial and open source platforms that ease data access, analytics, model building and management in a collaborative way.
How AI is revolutionizing financial services
From customer service to risk management, artificial intelligence is ushering in the next financial revolution — as long as compliance issues can be addressed.