This week's top stories in AI & data science
The Belamy | Weekly newsletter of Analytics India Magazine
 |
We are organizing a webinar, in association with the University of Louisville College of Business, on 23rd of February from 7:30 to 8:30 PM to discuss ways in which one can manage their career in the age of AI. Register here>>>
The Global Operations Analytics team at AB InBev started with a dream of transforming business operations through analytics, but it made sure that the wish had a plan and hence converted it into the goal. Check how they do that>>>
1
India’s answer to AI-powered vehicles (long read)
The Indian automobile industry transcended into a hub for manufacturing excellence and innovation. That’s right, “Bharat” is now on par with automobile juggernauts like the U.S., Germany, China, Japan, France, and Brazil.
Let’s investigate the top automotive companies in India leveraging bleeding-edge technologies like AI to transform how we perceive transportation.
Also: How Indian retailers use AI
+ How The Autonomous Vehicle Industry Shaped Up In 2021
2
Thinking fast and slow with AI
Acclaimed economist Daniel Kahneman in his book Thinking Fast and Slow, proposed that the human brain has two separate systems for decision making – system 1 and system 2.
System 1 controls unconscious decision making like walking, climbing stairs, brushing teeth, and other tasks that may not require conscious thought.
System 2 is a slower and more deliberative type of decision-making system for tasks like playing chess, solving mathematical equations, etc.
Now, what if we apply the same principle to artificial intelligence systems?
Also: Why is ML research disconnected from reality
+ Why Is Yoshua Bengio Betting On This Newly Launched AI Governance Platform?
3
Council Posts
These articles are written by members of the AIM Leaders Council. AIM Leaders Council is an invitation-only forum of senior executives in the Data Science and Analytics industry. To check if you are eligible for a membership, please fill the form here.
+ Explainable AI and its impact on creating a data-driven culture by Anirban Nandi
+ How to choose the right analytics/data science program by Ritesh Mohan Srivastava
+ Data democratisation and AI—The superpowers to augment customer experience in 2022 by Nalin Goel
4
Param Pravega VS all other supercomputers
The Indian Institute of Science, Karnataka, has claimed to have launched India’s most powerful supercomputer, Param Pravega. As of 2020, India has two supercomputers, PARAM Siddhi-AI and Mihir, that have made it to the Top 500 global supercomputer lists, ranking 63rd and 146th, respectively.
Param Pravega, with its claims, could possibly beat these computers in being the most powerful Indian supercomputer. But is it true?
Also: India’s Supercomputer Now Ranked Among World’s Most Powerful. What Does This Mean For India?
+ Inside NVIDIA Cambridge-1: UK’s Most Powerful Supercomputer
5
Featured Video: Alexa, Siri, Google Home - Is your voice assistant Trustworthy?
6
Hands-on Guides for ML Developers
+ A guide to Quantus: an explainable AI toolkit
+ Hands-On Guide to Building Knowledge Graph for Named Entity Recognition
+ Guide To Word2vec Using Skip Gram Model
+ A guide to Auto-ViML for explainable and interpretable machine learning
+ Getting started with Gensim for basic NLP tasks
7
People & Startups
+ Microsoft's big cloud expansion plans with Azure
+ Interview with Daisy Chittilapilly, President Cisco India and SAARC
+ The good earth is also good business: Rajan Krishnan, Oracle
+ How Madhavbaug aims to serve 5 crore patients with AI-powered healthcare solutions
+ I never imagined I'd be Kaggle Grandmaster in a year: Karnika Kapoor
+ IDfy CEO Ashok Hariharan reveals how their deep fake recognition tool works
+ Our vision is to democratise access to fleet technology in emerging markets: LocoNav
8
Data science hiring process at Yulu
The core of everything Yulu does today is driven by its data science team.
In an interview with AIM, Jaideep Datta Dhok, head of data science at Yulu, shared some of the game-changing solutions that its data science team has delivered across departments.
Also: Data science hiring process at Khatabook
+ Data Science Hiring Process At Myntra
9
Why is Kubernetes so hard to master?
The popularity of Kubernetes soared on the back of businesses’ massive migration to the cloud triggered by the pandemic. However, the extremely complex nature of developing and running distributed frameworks at scale remains a huge challenge.
While Kubernetes has become a standard in deployment management, a developer from a traditional hosting background might find it hard to master the platform.
Also: Kubernetes vs Docker: An Introductory Guide for Beginners
+ Kubernetes v1.23 Released: Key Features & Updates
10
BOTTOM OF THE NEWS
Here's what all happened last week.
+ Palantir stock tanks by more than 15% after mixed earnings report
+ Intel reveals roadmap to achieve 10-12% Y-o-Y revenue growth by 2026
+ Indian robotics firm Addverb receives order worth USD 1 Bn from Reliance
+ The Institute of Chartered Accountants of India plans to use blockchain technology for auditing
Create your profile
Only paid subscribers can comment on this post
Check your email
For your security, we need to re-authenticate you.
Click the link we sent to , or click here to sign in.