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Leveraging AI For Product and Company Growth
Everyone thinks everyone else is deploying and leveraging AI, but in reality, most companies aren’t. The ones that are sometimes have AI initiatives that don’t line up with business growth. AI’s buzz may have everyone rushing to implement their own strategies to use this tech, but if your boardroom... Read more
Watch: A Manager’s Guide to Starting a Computer Vision Program
This talk by Ali Vanderveld provides you with a guide for data science leaders and managers who are thinking about starting a computer vision program. It will help you think through a set of sequential questions that you’re likely to encounter along the way: [Related Article: 4 Steps to... Read more
The 4 Most Important Traits to Look for When Hiring an AI Expert
Although AI gets a lot of heat for putting millions of people out of jobs – thanks to its automation properties – it is also creating opportunities for many to start promising careers in data science. Regardless, there can be a lot of roadblocks when hiring an ai expert. ... Read more
How Product Managers Learn About AI Meeting Peak Effectiveness
The most frequent question I get about AI from colleagues, product managers, and others, is, “What do I need to know about AI and what’s the best way to learn it?” I’ve invested a considerable amount of time taking numerous courses, so I dug into my emails to collect... Read more
3 Small Steps to AI Adoption
If you aren’t ready for the AI revolution, you aren’t alone. While around 79% of business executives surveyed recently said that they already see an impact from AI on their business, just 36% had some sort of change management strategy or steps to AI adoption in place. Adopting AI... Read more
What is iPaaS and Why Should Your Business Care?
AI, cloud computing, and massive data. It’s getting beyond the capability of most companies and organizations to host and manage the type of infrastructure needed to build and deploy models. Integration Platform as a Service (iPaaS) could be the answer to in house computing and security issues. Cloud integration... Read more
Top 10 Big Data Blunders, Part 2
In the first part of the series, Dr. Stonebraker outlined five ways to know for sure companies are making mistakes in their big data plans and adoptions. He focused a lot on the missed opportunity businesses would have in not hiring the best talent and embracing the move to... Read more
Building Data Science Teams: What Do You Need to Know?
Building a data science team from scratch involves more than just a list of requirements scraped from HR. Your data science team needs to solve problems and provide real business value, necessities that are difficult to describe in the traditional job posting. At ODSC East 2019, Haftan Eckholdt, chief... Read more
Why Your Business Needs Edge Computing
Edge computing is going to change your business, and you may not even know it yet. As businesses move towards deep learning initiatives and connect relevant products in the Internet of Things ecosystem, edge computing could help reduce latency and increase productivity. So what is it? Let’s take a... Read more
How to Write a Better Data Science Job Description
You’ve been looking to make a data science team, but you can’t get the right person. Too many terrible applications. Not enough talent. As data science becomes an integral part of business, business leaders are looking to add this crucial position to their teams. Unfortunately, confusion about terms and... Read more