Here’s Why You Can’t Hire a Data Scientist
As a business owner, you may be seeking a data scientist to help you derive value from your company’s data assets. This is a strategic move, one that your competitors are likely making as well, so you want to make this important hire count. In this article, I will... Read more
Unleashing the Power of AI Machine Learning to Improve the Hiring Process
Undoubtedly, the power of machine and algorithmic driven intelligence empowered by exponentially growing data – collectively referred to as artificial intelligence (AI), riding on the cusp of cloud-based computing, has tremendously revolutionized our visions and perception beyond any bounds. Cumulatively, rapid scaling of digital technologies is driving out-of-box boundaries... Read more
Should You Build or Buy Your Data Science Platform?
An increasingly common theme among many vendors exhibiting solutions at conferences for data scientists is AutoML data science platforms. It seems like every company has their own slant for how to automate the machine learning process. There are some pretty impressive and innovative products out there and I reviewed... Read more
Find Your Ideal Data Scientist at ODSC East 2019
In an ideal situation, your perfect data science team would appear at your office, ready to work and paperwork already signed. Unfortunately, that’s not reality just yet. Though, there are still ways to make the hiring process a bit easier with potentially better benefits, too. As opposed to the... Read more
6 Reasons Your Business is Falling Behind the AI Race
If you’ve gotten excited about AI’s reach into the business sector, you aren’t alone. Around 61% of businesses have already implemented some sort of AI initiative, and it’s likely your business has as well. If your AI initiative isn’t delivering the results you expected, it may not be the... Read more
What are Some of the Best Practices for Hiring Data Scientists?
Instead of focusing on any particular issue or advancement relating to data science, Alluvium founder Drew Conway used his platform at ODSC to discuss an important issue relating to the field’s culture: how to hire data scientists for your company. Drawing from his extensive experience on both sides of... Read more
Artificial Intelligence and Machine Learning in Practice: Anomaly Detection in Army ERP Data
Overview Assessing and improving readiness remains a significant priority for the United States Army. With this priority in mind, the Army recently launched a project to enhance its supply chain data environments by leveraging the power of artificial intelligence (AI) and machine learning (ML). The Army’s Logistics Innovation Agency... Read more
Business Applications of AI-Powered NLP
It’s difficult enough to teach people language, not to mention machines, and for this reason, language proficiency for computers is a moving target. People in the industry have struggled for years with the question of how to get more meaningful data into the hands of those who need it,... Read more
AI and Machine Learning in Practice
AI needs to be strategic. Playing with AI on the edges and deploying small prototypes and pilots isn’t going to help revolutionize your business model. Rather, taking a long look at your current business and deciding where AI has the potential to make the most significant impact is the... Read more
From Data to AI with AI Canvas for Business
“The future is independent of the past given the present.” The above translates the Markov assumption: 𝑃(𝑋𝑡|𝑋𝑡−1,…,𝑋0)=𝑃(𝑋𝑡|𝑋𝑡−1)P(Xt|Xt−1,…,X0)=P(Xt|Xt−1). Markov Chains help build the concept of decision making in a very simplistic way. It’s also one of the most important deterministic processes used in AI.   How could we bring Markov... Read more