June 12, 2020
Description: Majority of AI approaches are based on the construct of training against historical data and then inferencing new data. While this is a sound and proven approach, a lot of IoT assets coming online don’t have historical data and we don’t necessarily have the time to wait.
Added by Jane Howell on June 12, 2020 at 2:30pm — No Comments
This is the second of two articles about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of only 5 projects out of 230 submissions chosen as Spotlight Winners to present at the closing ceremony. Read on for the technical aspects of our solution, for a more general overview of the hackathon and our product see our first article…Continue
You’re a data scientist, but you didn’t end up in the data science industry.
Are you worried about not making it?
Fret not, we’ve got multiple career options molded perfectly for you.
Ever since data science and big data analytics became the buzzwords in the industry, career options in these fields never went amiss. Job roles in both the data science and the big data analytics industry continue to reign as some of the most coveted jobs a tech professional could…Continue
Added by Yoey Thamas on April 7, 2020 at 11:44pm — No Comments
In 2019, over 40 million Americans wagered money on March Madness brackets, according to the American Gaming Association. Most of this money was bet in “bracket…Continue
Added by Paul Derstine on March 3, 2020 at 7:30am — No Comments
The history of Database management systems could be interpreted as a Darwinian evolution process.
The dominance of relational databases gives way to the data warehouses one, which better adapt to the earliest business intelligence requirements; then, alongside the rise of the most popular big data platforms such as Hadoop or spark, comes the era of the NoSQL…
Added by Valeria on December 30, 2019 at 1:00am — No Comments
As a data scientist in an organization you frequently find yourself in a couple of situations:
Added by Mab Alam on December 27, 2019 at 8:00pm — No Comments
Thinking of data science as merely a technical profession, like programming, may take you away from your goals. Focusing on the usability of mathematics for data science before jumping into full-fledged math courses will save you a lot of time.
I wrote this blog post because I made a few mistakes while starting…Continue
Added by Arnuld on December 19, 2019 at 4:00am — No Comments
The history of F1 motor racing and the use of telemetry as a way to monitor car setup and performance dates back to the 80s. The first electronic systems were installed onboard the car, collected information for only one lap and the data were then downloaded when the car was back in the garage. The explosion of computing capabilities, in the 90s, contributed to the growth of intelligent data usage in the F1 and the…Continue
Walking by the hottest IT streets in these days means you've likely heard about achieving Streaming Machine Learning, i.e. moving AI towards streaming scenario and exploiting the real-time capabilities along with new Artificial Intelligence techniques. Moreover, you will also notice the lack of research related to this topic, despite the growing interest in it.
If we try to investigate it a little bit deeper then, we realize that…Continue
Added by Valeria on December 10, 2019 at 7:30am — No Comments
Summary: A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call it, it’s all the same thing.
Our profession of…Continue
Added by William Vorhies on December 4, 2019 at 3:12pm — No Comments
By 2027, the big data market is estimated to grow to USD 103 billion. And by 2022, the global big data and analytics market is predicted to grow to USD 274 billion, statistics backed by Statista.
The scarcity of talent in the big data industry is being wooed by hefty pay packages, but only to those with extensive knowledge in big data tools and technologies.…Continue
Added by Yoey Thamas on December 3, 2019 at 1:41am — No Comments
Business intelligence is important for every business. But, there is a lot of confusion about business intelligence.
This is mainly because BI has been defined in different ways. So, we thought what’s better than talking about business intelligence. We dived into the history pages and compiled a list of definitions and examples that will help you understand this concept better.…Continue
Added by Priyansha Kansal on November 11, 2019 at 2:27am — No Comments
Business analytics is here to stay, and most ventures are wrapping their heads around the idea. Numerous data gets collected from various interactions among clients and potential prospects; Big data is referred to as the complex humongous data. It is not a new fad in the analyst industry. Organization requires making top-notch decisions using big data as an essential component in…Continue
Added by Priyansha Kansal on November 7, 2019 at 10:00pm — No Comments
by Hudson Hollister
Detecting which of the federal government’s millions of contracts most likely involve fraud used to require insider access to agencies’ IT systems. Data analytics provides greater efficacy and higher hit rate than traditional investigative methods – and now can even be performed using only public…Continue
Added by Paul Derstine on October 28, 2019 at 11:30am — No Comments
Cybersecurity Data Science (CSDS) is a rapidly emerging profession focused on applying data science to prevent, detect, and remediate expanding and evolving cybersecurity threats. CSDS is increasingly formally recognized as a cybersecurity job specialty, for instance in the NIST NICE Cybersecurity Workforce Framework.
A proposed CSDS definition derived from…Continue
Added by Scott Mongeau on October 22, 2019 at 11:20pm — No Comments
by Vic Diloreto, Director, Software Products, Elder Research
The Risk Assessment Data Repository (RADR) is a powerful risk analytics platform used to enhance productivity in the investigation of fraud, waste and abuse. This server-based, data analytics product fuses data from…Continue
Added by Paul Derstine on October 17, 2019 at 5:01am — No Comments
Q1. Is MSc in Data science/Data Analytics same as ML/AI as some universities don’t have AI but Data Science?
Q2. I am interested in MS Data Science and not MS Analytics as the later is not technical in nature. Are MS Data Science and MS Data Analytics the same?
Q3. How to Choose Between a Master’s in Data Analytics vs Business…
Added by Tanmoy Ray on September 17, 2019 at 9:30am — No Comments
Of late, a buzzword in marketing and analytics circles is CDP or Customer Data Platform. Chief Marketing Officers now have this new weapon in their arsenal to serve customers in an even better, faster and more granular manner.
A CDP is a “data unifying software”. Adding it on top of your martech stack helps manage your…
Added by Hemant Warudkar on August 13, 2019 at 2:12am — No Comments
Note: This blog was written by Dr. John Elder and was originally published on www.elderresearch.com/blog.
Elder Research has solved many challenging and previously unsolved technical problems in a wide variety of fields for…Continue
Added by Paul Derstine on July 30, 2019 at 9:30am — No Comments
Note: This blog was written by Dr. William Goodrum and originally posted on www.elderresearch.com.
It has become common to talk about data being the new oil. But a recent piece from …Continue
Added by Paul Derstine on July 30, 2019 at 9:30am — No Comments