When data becomes a service
The need for data to fuel effective artificial intelligence solutions and how to collect it via model-as-a service and insights-as-a service
Data is the lifeblood of AI, but how do you collect it?
AI and lots of good data go hand in hand, but it can be a challenge for companies to aggregate it
In an age of fake news, is there really such a thing as fake data?
The pitfalls and benefits of using synthetic data to train AI algorithms
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
Should AI be regulated?
When it comes to AI, we need to think about protecting the safety and well-being of people everywhere with sound and prudent governance
Insights-as-a-service: Giving companies a fast lane to data-driven action
If today data is king, then IaaS is fast emerging as the contractual chief adviser, helping to inform business decisions based on data-driven points of knowledge, predictions analytics, and insights
6 reasons why chatbots are taking over customer service
The key to chatbot success is the continued learning that enables them to leverage relevant data to truly connect with specific customers and augment the role of people
Your company is getting pumped about AI—but is your data ready?
Before you can implement AI, it’s important to get your data in order. Here are some steps to effectively accomplish that goal
Is there a future for off-the-shelf AI?
There plenty of great off-the-shelf applications for a variety of tasks, and by using them, companies can get up and running with best-of breed solutions quickly and without spending a lot. But can you really expect OTS apps to be...
GPU computing: the key to unleashing the mysteries of all that data
To effectively handle all the data being created in the world today, we need GPU computing
Today’s software engineering students require a new level of intelligence
Career opportunities are bright for software engineering students, and skills that will be critical to their success include AI, machine learning, and open source expertise
AI has met a fork in the road; which path will dominate?
While pure AI, or open API, will soon allow robots to become more human-like, pragmatic AI is alive and well today and driving true business transformation
Are machine learning tools really smart or do they need private crowds to get there?
The critical role of private crowds in building accurate machine learning algorithms for smarter software
What your software developer wishes you knew
Some basic guidelines on how to work with an outsourced software developer to ensure the best possible results.
Is open source good for business?
Understand the benefits of open source software and why it is spreading into new markets
The many (emerging) faces of machine learning
Machine learning is everywhere: across industries and affecting many aspects of daily living
Devops: Farewell to major software releases and welcome to transparent software
Key considerations for companies transitioning to a devops environment
Data in, intelligence out: Smart apps are only as good as the data
Effective machine learning and predictive analytics depend on vast amounts of relevant data and continuous learning
If software developers are the artists, then business analysts are the agents
The critical role of business analysts in ensuring software development projects meet the
requirements of stakeholders
Digital transformation isn't only about technology
While APIs are the secret weapon binding together best-of-breed solutions, true digital transformation comes from an innovative mindset that combines technology with business transformation
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