Artificial Intelligence
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Reasons to welcome artificial intelligence into your workplace
When placed in the proper context, AI in the workplace isn’t something to fear, but rather something to celebrate and embrace
The hidden transformation underlying AI transformations
There is a rarely discussed but tremendously important dynamic facing every business deploying machine learning: what’s changing below the surface
Machine learning megaguide: Amazon, Microsoft, Databricks, Google, HPE, IBM
Download InfoWorld's massive roundup of Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits
Practical AI: or why everything that says it is, isn’t
Complex algorithms do not an intelligent program make, yet, true AI can be a very involved undertaking fraught with high overheads, a substantial investment in IT support, and an ongoing need to monitor and manage the training that an...
How far can digital assistants take us in the realm of AI?
Digital assistants keep getting more advanced, but there may be an upper limit to how far they can progress before they reach an ultimate plateau
video
CIO Leadership Live with James Rinaldi, CIO, Director for Information Technology, NASA’s Jet Propulsion Laboratory | Ep 11
In this episode, host Maryfran Johnson talks with James Rinaldi, CIO at NASA's Jet Propulsion Lab, about opening up data silos and driving data transformation; having a seat at the table to lead change; and using technology to explore...
What is TensorFlow? The machine learning library explained
TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier
The 5 unsexy problems we need to solve for better AI
Getting to the next level of AI requires us to deal with key challenges that aren’t commonly discussed. Until we solve them, we’ll be stuck indefinitely at our current level of sophistication
![artificially intelligent [AI] virtual assistant / chatbot](https://images.idgesg.net/images/article/2018/02/artificial_intelligence_ai_virtual_assistant_robot_chatbot_machine_learning_assistive_technology_thinkstock_162685804-100749923-small.3x2.jpg)
Virtual assistants don’t need developers or AI
Virtual assistants could do so much more for enterprises, if only we’d realize they are essentially command-line interfaces that don’t require custom coding or AI tech to work
Cloud-based AI: The game-changer not to fret about
The big companies are talking to the government about artificial intelligence capabilities—and possible regulations. Uh-oh
Why today’s real-time economy needs machine learning
The combined power of machine learning and artificial intelligence enable industries to process, analyze, and act on data in real time
Big data + AI: Context, trust, and other key secrets to success
Machine learning can supercharge data analysis and spur innovation, but it lacks the business context to make optimal decisions every time
A lesson on today’s AI for the masses
When it comes to off-the-shelf artificial intelligence solutions, the more things change, the more they stay the same
The new data roles, brought to you by AI
Artificial intelligence is providing market competitiveness through higher productivity and lower costs across many industries. AI is also creating new data roles companies are desperate to fill; read more about these new roles.
The 5 best programming languages for AI development
Which programming language should you pick for your machine learning or deep learning project? These are your best options
Developing AI with a partner? 7 important rules to set
Forming a partnership to create better AI is advantageous but can also compromise the integrity of the project
Why artificial intelligence in health care is harder than you would think
While the health care industry is likely to reap the benefits of artificial intelligence, several glaring issues need to be fixed or at least be mitigated
Toward the artificial intelligence of things
Meet the artificial intelligence of things (AIoT), where artificial intelligence dovetails with the internet of things (IoT)
The AI mindset: preparing people is as important as preparing data
As companies work to understand the techniques and tools used for simulating cognitive functions in machines, they often overlook a critical aspect of preparedness
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