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
Technology decision-makers are (and also should keep) seeking methods to successfully carry out artificial intelligence innovations into their businesses and, therefore, drive value. And though all AI innovations most definitely have their own merits, not all of them deserve purchasing, with each passing day we come across a number of AI development techniques.
If something and also only one thing occurs after you read this write-up, we hope it is that you are…Continue
Added by Allen Adams on November 29, 2019 at 4:30am — No Comments
Summary: Too many solutions. We are at an inflection point where too many vendors are offering too many solutions for moving our AI/ML models to production. The very real risk is duplication of effort, fragmentation of our data science resources, and incurring unintended new technical debt as we bind ourselves to platforms that have hidden assumptions or limitations in how that approach problems.
Added by William Vorhies on November 25, 2019 at 9:44am — 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
Summary: AI/ML itself is the next big thing for many fields if you’re on the outside looking in. But if you’re a data scientist it’s possible to see those advancements that will propel AI/ML to its next phase of utility.
After going through Nano official forums, if you are planning to buy expensive wifi modules, just because of reported issues of connectivity loss, then you need to check this blog.
This blog contains 5 minutes verified & tested hack to solve buggy driver, so that, jetson nano never loses its connectivity.
Firstly, check wifi module…Continue
Added by PS Dhillon on October 4, 2019 at 4:01am — No Comments
By Stefan Stoyanov, Business Analytics & Research Intern at Boemska
I started my MSc Business Analytics course at theh University of Surrey almost one year ago. I had no prior experience in Machine Learning or data science. Before, I used to develop and manage EU projects…Continue
Added by Stefan Stoyanov on September 17, 2019 at 4:30am — No Comments
In 1956, American Computer specialist John McCarthy created the Dartmouth Conference, at which the term Artificial Intelligence was first adopted. Researchers Allen Newell and Herbert Simon were instrumental in propelling AI as a field of software engineering that could…Continue
Added by Arjun Raghu on August 23, 2019 at 2:00am — No Comments
By Pranay Agarwal and Betsy Romeri.
“They just don't understand me. I provide them with all the necessary details, all the data and analysis possible, but they don't seem to get it.” These were the comments of a data scientist at one of the largest CPG companies in Brazil as he vented to me over coffee and described how frustrating his last year had been. He definitely was feeling the heat from the business stakeholders. None of the major analytics initiatives that his team…Continue
Added by Betsy Romeri on August 20, 2019 at 5:00am — No Comments
We are living in a time of slow yet steady insurgence of data science and AI in our lives. It spans more industries than we’d expect.
Over the past decade, Data Science has stretched out into almost every industry. Form industries like Automobiles and Healthcare to Finance as well as the Gaming Sector. It plays a significant part in the government sectors. So here are some instances of the most impactful…Continue
Added by Sudhanshu Ahuja on August 19, 2019 at 3:00am — No Comments
Data is the new fuel- it drives businesses towards exponential growths. It has the power to transform operational and add intelligent insights with its immense potential. The key, however, lies with understanding data and its insights.
Logistics, like other domains, can also leverage from the several advantages of data. It all begins with what to do with the collected data. Data Science will come into the picture with its amalgamation of statistical &…Continue
Added by Bhushan Patil on July 21, 2019 at 8:37pm — No Comments
Summary: More data means better models but we may be crossing over a line into what the public can tolerate, both in the types of data collected and our use of it. The public seems divided. Targeted advertising is good but the increased invasion of privacy is bad.
Headlines are full of alarm. The public is up in arms. The internet is stealing their privacy. Indeed, the Future of Humanity Institute at Oxford rates this as the most…Continue
Summary: Despite our concerns about China taking the lead in AI, our own government efforts mostly through DARPA continue powerful leadership and funding to maintain our lead. Here’s their plan to maintain that lead over the next decade.
Think all those great ideas that have powered AI/ML for the…Continue
Added by William Vorhies on June 10, 2019 at 8:28am — No Comments
Added by Max Ved on May 27, 2019 at 11:02pm — No Comments
Summary: If you are guiding your company’s digital journey, to what extent should you be advising them to adopt deep learning AI methods versus traditional and mature machine learning techniques.
Summary: Especially in consumer goods and retail the value of AI/ML is only part of the story. AI/ML will increasingly need to integrate with helper technologies to deliver maximum value. Up your game in IoT, 5G, and robotics to ensure you’re giving your operating team all the best options for their investment.Continue
Added by William Vorhies on May 13, 2019 at 8:06am — No Comments
When we look at broadly different kinds of Machine Learning that are used in practice in Artificial Intelligence
Historically, there have been several approaches in Machine learning for AI like supervised learning, unsupervised learning, reinforcement learning, case-based reasoning, inductive logic programming, experience based generalisation etc. there have been several examples of waves of machine learning for different AI problems. But, of them the 3 most important categories of…Continue
Added by Mahesh Kumar CV on May 5, 2019 at 1:00am — No Comments
AI is a new buzzword but there has been a lot of talk around analytics and prospects over a decade. Here we present a perspective that AI is a continuum of Analytics
Let us see how...
Different approaches in Data Science and analytics have been originated in the field of statistics.
AI has emerged on the other hand out of computer science as a practice and science of studying "intelligent agents".
The way is to treat AI as extending conventional analytics with a…Continue
Added by Mahesh Kumar CV on May 4, 2019 at 9:28am — No Comments
Artificial intelligence (AI) seemingly has been discussed everywhere over the last few years, and now it’s made its way into the commercial insurance industry. Organizations are using AI and machine learning for everything from streamlining operations to offering more personalized care and better customer service. There is an increasing sense of urgency about getting started on the AI journey. The question is how. Do they develop a custom solution in-house or purchase a third-party solution…Continue
Added by Ji Li on May 2, 2019 at 3:00pm — No Comments