Flipboard

MAY 29, 2025

In 2025, the challenge will be turning those agendas into reality. 6:15 : My role is leading AI/ML for clinical development. Tools like knowledge graph arent just AI/ML. Also Julesits maintained outside AI/ML. If you were trying to sell an ML developer on joining your team, what kind of background do they need?

AI 78

AI AI ML ML 78

Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025. billion in 2022, it is projected to surge to USD 279.31

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

Women in Big Data

MARCH 5, 2025

I had the pleasure of interviewing Anu Jekal , the CEO of Data Surge , a leading company in data and AI/ML. At Women in Big Data (WiBD), Anu has been a mentor and volunteer for almost 2 years. Over time, I saw the immense potential of data-driven insights, which led me into data engineering and AI/ML.

ML 52

ML ML Big Data Big Data 52

Precisely

JUNE 2, 2023

Gartner estimates that 85% percent of organizations plan to fully embrace a cloud-first strategy by 2025. As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

O'Reilly Media

MAY 30, 2025

In 2025, the challenge will be turning those agendas into reality. 6:15 : My role is leading AI/ML for clinical development. Tools like knowledge graph arent just AI/ML. Also Julesits maintained outside AI/ML. If you were trying to sell an ML developer on joining your team, what kind of background do they need?

AI 55

AI AI ML ML 55

IBM Journey to AI blog

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

Data Pipeline 85

Data Pipeline ETL SQL Database 85

IBM Journey to AI blog

JULY 3, 2024

The quality and quantity of data can make or break AI success, and organizations that effectively harness and manage their data will reap the most benefits. Data is exploding, both in volume and in variety. Trusted, governed data is essential for ensuring the accuracy, relevance and precision of AI.

Data Quality 45

Data Quality AI AI Database 45