Artificial general intelligence: Dream goal, nightmare scenario or fantasy? by Herb Roitblat via @infomgmt

The quest for artificial general intelligence is the holy grail of artificial intelligence research, and, arguably, just as difficult to find. It may be a myth.

This is a really interesting piece by Herb and really makes you stop and think about what is and what is not possible. Definitely worth reading during a time when you have time to stop and think a bit about it.

Getting to ROI with AI in the enterprise by Tom Wilde via @infomgmt

Despite its promise, and its growing adoption, there is still too little we can point to in terms of real business results from artificial intelligence.

Some great thoughts from Tom although I'm certainly not convinced that many organisations have actually achieved something very tangible as a return on ther investment in AI.

Essential Math for Data Science: ‘Why’ and ‘How’ by Tirthajyoti Sarkar via @kdnuggets

It always pays to know the machinery under the hood (even at a high level) than being just the guy behind the wheel with no knowledge about the car.

This is really useful - you can teach yourself statistics if your own skills are not up to scratch.

5 top strategies to make development cycles more efficient by Charles Dearing via @infomgmt

Software development is fraught with all sorts of pitfalls. Adopting the principles of Agile software development is one way to combat these inevitable pitfalls.

Some useful advice.

WEBINAR: 4 Ways to Tackle Common Data Prep Issues - 25 September 2018

Anyone who's ever analysed data knows the pain of digging in only to find that  it is poorly structured, full of inaccuracies, or just plain incomplete. But "dirty data"  isn't just a pain point for analysts; it can have a major financial and cultural impact on  an organisation.  In this latest Data Science Central webinar, you will learn four actionable ways to  overcome common data preparation issues, including how to establish a company  standard for "clean data" and how to democratize data prep across your organisation.  Speaker: Louis Archer, London Manager -- Tableau Hosted by: Bill Vorhies, Editorial Director -- Data Science Central Title:  4 Ways to Tackle Common Data Prep Issues Date:  Tuesday, September 25th, 2018 Time:  9:00 AM - 10:00 AM PDT

Register here

New open challenge seeks to promote ethics in the use of AI and the news by David Weldon via @infomgmt

Toward that goal, a new open call is offering $750,000 for ideas that will shape the impact artificial intelligence has on the field of news and information.

Something to think about entering - I'm sure we all have thoughts on this.

Key steps to ensure data protection amidst the growth of mobile apps by Nathan Sykes via @infomgmt

As data protection regulations grow and the laws become more stringent, it has also become much more difficult to follow them because of widespread mobile adoption.

Some useful pointers to steer you in the right direction.