Data visualization in machine learning boosts data scientist analytics
TECHTARGET–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
TECHTARGET–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
TECHTARGET–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…
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…
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…
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 products or services to customers…
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…
More to machine learning platforms than meets the AI
TECHTARGET–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
TECHTARGET–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…
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…
6 tips for effective customer data mining
TECHTARGET–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
TECHTARGET–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,…
Analytics an uneasy balance between data collection and privacy
TECHTARGET–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…
Data science platforms boost automation, collaboration
TECHTARGET–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…
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.
What is AI fuzzing? And why it may be the next big cybersecurity threat
Pairing artificial intelligence or machine learning with traditional fuzzing techniques creates a powerful tool to find application or system vulnerabilities — for both researchers and…
8 key roles of successful AI projects
As enterprises further develop artificial intelligence projects, they are finding that some roles are essential to success. But the right talent can be hard to…
AI as a service democratizes benefits of new tech tools
TECHTARGET–The emergence of AI-as-a-service tools is helping more enterprises access the benefits of AI, not just the leading-edge tech companies that pioneered the technology.
Common sense AI approaches point to more general applications
TECHTARGET–The race to attain artificial general intelligence is on. Ranging from predictions of 10 to 200 years away, the one thing experts can agree on…
9 biggest hurdles to AI adoption
Early adopters are beginning to reap real business results from artificial intelligence implementations. But rolling out an AI initiative isn’t without its challenges.
New deep learning techniques take center stage
TECHTARGET–The days of simple, linear regressions powering machine learning are on their way out, as newer, more powerful deep learning techniques find a range of…