Technology Industry
Technology Industry news, information, and how-to advice
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
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
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Mingis on Tech: Using blockchain to track carbon credits
With blockchain technology showing up in everything from global shipping to cloud storage and real estate transactions, it's no surprise that it's now seen as a way to help companies trade and sell carbon credits.
How remastering data for GDPR improves customer service
Expanding your master data management (MDM) system to incorporate systemic data relevant to the customer offers a path to streamline collecting and reporting
The fiction of ‘digital wellness’—and the truth of digital dependence
Let’s not be so quick to stigmatize healthy digital adoption by calling it addiction
When it comes to data, the interface matters as much as the information
Regulations like GDPR are getting headlines, but the song remains the same
Tales of eTail West, big data, and e-commerce success—or failure
The Retail Death Star (a euphemism for whoever you think it is) has such a glowing reputation for its acumen with data that other companies clamor to know how the Death Star does it. Personal experience suggests myth does not match...
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
Retail and e-commerce: digital transformation and what it means for software QA
Those that are successful in deploying resources into software testing at the right time and place will win the race towards higher quality systems that keep customers coming back
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 operating system is dead. Long live the operating system?
Is the operating system really being replaced by containers, serverless computing, and unikernels?
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
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
The hidden hand of data bias
Biased data and decisions represent significant risks to your organization both monetarily and ethically and ultimately may impact your ability to achieve revenue goals and maintain brand reputation
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