In this era of smartphones, we cannot deny that information technology plays a vital role in carrying out operations and making every segment effective. Be it government, sports, finance, education to entertainment, information technology tools, and tactics are being used in different ways revamping every sector to the next…

Continue

Challenges addressed by No Code AI platforms

An AI model building is challenging on three fundamental counts:

1. Availability of relevant data in good quantity and quality: The less I rant about it, the better.
2. Need for multiple skills: Building an effective and monetizable AI model is not…

Continue

Although COVID-19 has affected every industry, there are some it has changed more than others. Retail and Consumer Packaged Goods (CPG) are two such industries that have undergone irreversible transformation. Fortunately, most changes driven by the pandemic will prove to be positive in the long term. For the moment, however, CPG organizations…

Continue

Did you know!

• Worldwide spending on blockchain solutions is expected to cross 15.9 billion dollars by 2023.…

Continue

The rise of IoT has offered telecom operators another chance to spring into action. If the telecom industry makes the most of IoT, availing the USP that edge computing and 5G offers them, they can have huge potential profits of more than $600 billion by 2022, as per Accenture…

Continue

The Internet of Things (IoT) has matured to support the telecom industry by becoming an integral part of concepts like self-driving vehicles and industrial IoT. The Telecom industry, in fact, is amongst the biggest players in the IoT.…

Continue

Image Source: Statistical Aid: A School of Statistics

Definition

In statistics, the statistical…

Continue

What are the Importances of Data Science in the Modern Age?

Data Science is considered one of the best lucrative job fields of the 21st century. It is nothing other than the combined study of mathematics, statistics & computer science (including domain and programming expertise); which is used to…

Continue

The constant evolution of technology has benefited every single industry on the face of Earth much more than you and I could imagine. This holds especially true for the financial sector, where it has given rise to FinTech, which has now been around for a while now. However, the advancement of technology has now given rise to yet another exciting development: The integration of IoT in FinTech. While IoT was already growing, it was only a matter of time until it made its way into this sector.…

Continue

Summary:  There is now sufficient experience among mid and large sized companies starting their AI journey to identify a single best practice for moving from AI experimentation to scale-up: the AI COE (Center of Excellence).

 

 

If you are a mid-sized business, government organization, or educational…

Continue

Across industries and enterprises, AI has been the key growth driver, and this is mainly due to the services offered under this technology umbrella. Every industry is now witnessing enhancements in business processes, costs, and efficiency due to AI's introduction in their field. Depending on the industry, AI offers something unique and has helped the key decision-makers to make fast and accurate decisions based on various implementation solutions.…

Continue

11 Nov, 2020, Washington D.C.: Since the launch of the World Data Science Initiative (WDSI) in January of 2020 institutions in more than 20 countries have applied to be a part of the initiative, which is the world’s biggest ever talent development project in Data Science. The African continent can now boast its first institution to join the initiative; University of Rwanda.…

Continue

Farming is the primary source that brings food to our tables. It is one of the most essential occupations to also supply humans with employment options all over the world. However, traditional farming methods like plowing the fields with the help of livestocks and ancient tools are now being replaced with advanced and latest technologies like…

Continue

By

• Priya Sharma – Sr. Data Scientist -IoT Analytics, SAS Institute Inc.
• Saurabh Mishra – Product Management, IoT, SAS Institute Inc.

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.

Modern Machine…

Continue

We always knew that the evolution of technology would lead us to newer avenues and opportunities in life. But little did we imagine that there would come a day that we would have a technology that would allow us to turn off electric appliances in our house from our office. No more “Did I turn it off” conundrums! That is the magic of the Internet of Things. And here’s an interesting statistic about this rockstar of technology: The number of connected devices in the world was 8.4 billion,…

Continue

In today's hyper-competitive business world, B2B & B2C businesses rely on data to achieve an edge in their markets. However, many companies do not realize that customer data decays rapidly and create challenges in achieving business goals. In the postmodern era, customers simply change base too often, and to maintain a complete and accurate record of their whereabouts is a challenging task. Dirty data not only damages your credibility but also costs you money…

Continue

Machine Learning (ML) models are increasingly being used to augment human decision making process in domains such as finance, telecommunication, healthcare, and others. In most of the cases, users do not understand how these models make predictions. The lack of understanding makes it difficult for policy makers to justify their decisions. Most of the ML models are black boxes that do not explain on its own why it reached a specific recommendation or a decision. This forces the users to say…

Continue

Traditional programmers hit a stone-wall when they start working on Machine Learning (ML) development projects. They were used to coding based on design derived from requirements, logic/rules and when they move into a new paradigm in which rules are automatically generated from data, they are surprised. In ML paradigm, we do not find any output code and we see an output in the form of a binary object called model that goes into production. You may be wondering without measuring lines of code,… Continue

Summary:  99% of our application of NLP has to do with chatbots or translation.  This is a very interesting story about expanding the bounds of NLP and feature creation to predict bestselling novels.  The authors created over 20,000 NLP features, about 2,700 of which proved to be predictive with a 90% accuracy rate in predicting NYT bestsellers.

 …

Continue

Summary:  Communicating with your Board of Directors about AI/ML is different from conversations with top operating executive.  It’s increasingly likely your Board will want to know more and planning that communication in advance will make your presentation more successful.

 

As AI/ML becomes increasingly…

Continue