Archives for data quality

09 May

7 Futuristic Use-Cases for AI Automation in Data Engineering

Vandana Nair AI

Here’s a look at some of the different scenarios that AI automation can bring for the future of data science

The post 7 Futuristic Use-Cases for AI Automation in Data Engineering appeared first on Analytics India Magazine.

29 Dec

Are LLMs A Detour From Achieving Human-like Intelligence?

Ayush Jain AGI

While the current lot of models are perfect black boxes, they lack crucial elements like cognition and understanding

The post Are LLMs A Detour From Achieving Human-like Intelligence? appeared first on Analytics India Magazine.

05 Apr

Council Post: Sensible data – a prerequisite to develop reliable models

Indrajit Mitra big data quality

Data pre-processing techniques generally refer to the addition, deletion, or transformation of training set data.

10 Nov

Is Agile Framework The Reason Why Most AI Projects Fail

Dr. Nivash Jeevanandam agile methodology

Agile for AI demands practitioners to focus on the Agile concepts rather than specific methodology and activities.

21 Sep

Exciting Times For AI in India: Sameep Mehta, Lead – Data and AI Platforms, IBM Research India

kumar Gandharv AI in India

Trust is essential to AI adoption. It allows organisations to understand and explain recommendations and outcomes and manage AI-led decisions in their business while maintaining the full ownership and protection of data and insights.

12 Sep

Understanding the Importance of Data Cleaning and Normalization

Victor Dey AI

Data Cleaning is a critical aspect of the domain of data management. The data cleansing process involves reviewing all the data present within a database to either remove or update information that is incomplete, incorrect or duplicated and irrelevant. Data cleansing is just not simply about erasing the old information to make space for new data, but the process is about rather finding a way to maximize the dataset’s accuracy without necessarily tampering with the data available. Data Cleaning is the process of determining and correcting the wrong data. Organizations rely on data for most things but only a few properly address the data quality.

10 Sep

Latest Features Introduced In Tableau 2021.3

Victor Dey analytics

Tableau recently released an update to its 2021 version, the Tableau 2021.3.

19 Dec

NITI Aayog Puts Its Foot Down To Enforce Better Data Collection

Yeshey Rabzyor Yolmo data quality

NITI Aayog is India’s key policy think tank. Government records and data have been very inaccurate, portraying a different image of the economic scenario when the situation is completely in dissonance with reality. To address this glaring offence, NITI Aayog Vice-Chairman, Rajiv Kumar has already called for two high-level meetings with the Ministry of Statistics…

The post NITI Aayog Puts Its Foot Down To Enforce Better Data Collection appeared first on Analytics India Magazine.