Any serious conversation about the future of data and analytics invariably turns to the topic of artificial intelligence. The past year has seen AI surge in popularity, with high profile corporations and personalities getting behind […]
Artificial intelligence & insurance: how AI is changing the industry Read More
Last week we offered some suggestions on how to attack your data management initiatives in 2018 according to your organization’s level of data expertise. This week we follow up with some tips on how to
Pitching Your 2018 Data Science Budget Read More
It’s that time of year again! With budgeting for 2018 at the forefront of your agenda, you may be wondering where to head with your data science efforts. Investments in big data are often expensive,
Planning Your 2018 Data Science Budget? Here Are Some Logical Projects Read More
Cyberattacks have become increasingly damaging and visible in recent years, in part because of numerous, high-profile instances of hacking affecting everything from your personal files to global election outcomes. And, in fact, hacking is no
How Big Data Helps Detect Hacking Read More
A key feature of big data is its lack of structure – we’re talking about the stuff that doesn’t fit neatly into excel columns or that is easily described on first glance using numbers or
Biometrics and Big Data: Facial Recognition Read More
Actuary, data scientist, or just a guy in the rain? The hot new thing, data science, isn’t so new after all. Since the advent of modern actuarial science in the late 1980s, insurance companies have
The Difference Between an Actuary and a Data Scientist Read More
If you have huge volumes of data, chances are that you can get value out of analyzing that data. But, would you derive significant value from analyzing it in real time? This is an important
Do you need real-time business analytics? Start by asking yourself these 4 questions Read More
There exists a chronic confusion as to what the distinction is between your average software engineer (i.e. programmer) and a data scientist. This is totally understandable, considering the fact that both jobs do involve programming
So, what is the difference between a programmer and a data scientist? Read More
The data and predictive analytics landscape continues to shift rapidly as old practices are phased out and new technologies enter the mainstream on a virtually constant basis. As these changes continue to play out, business
Are you taking the right approach to IT staffing? Read More
People in the tech world love to speculate on the future structure of the corporate IT department. While we cannot know precisely how this change will manifest, there are undeniable trends towards a more engaged
The Sad Future of the Corporate IT Department Read More
