Marktechpost

JUNE 16, 2024

In June 2024, Databricks made three significant announcements that have garnered considerable attention in the data science and engineering communities. These announcements focus on enhancing user experience, optimizing data management, and streamlining data engineering workflows.

Data Ingestion 117

Data Ingestion Python Automation AI 117

Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis. Value in 2024 – $305.90

Data Analysis 52

Data Analysis Data Scientist Data Science Machine Learning 52

Towards AI

OCTOBER 3, 2024

Last Updated on October 5, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. Yet, despite these advancements, AI still faces significant limitations — particularly in adaptability, energy consumption, and the ability to learn from new situations without forgetting old information.

Neural Network 119

Neural Network Algorithm AI AI 119

Pickl AI

SEPTEMBER 5, 2024

Summary: Operations Analysts play a crucial role in enhancing organisational efficiency by analysing processes, implementing improvements, and leveraging data-driven insights. In 2024, they face emerging trends such as automation and agile methodologies, requiring a diverse skill set.

Data Analysis 52

Data Analysis Data Quality Automation Solutions Analyst 52

Pickl AI

SEPTEMBER 3, 2024

Emerging Trends and Tools for Artificial Neural Network in 2024 As technology continues to evolve, so do the capabilities and applications of Artificial Neural Network. Continuous Learning Given the rapid pace of advancements in the field, a commitment to continuous learning is essential.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Unite.AI

JUNE 17, 2024

This not only helps ensure that AI is augmenting in a way that benefits employees, but also fosters a culture of continuous learning and adaptability. Thirdly, companies need to establish strong data governance frameworks. In the context of AI, data governance also extends to model governance.

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Unite.AI

OCTOBER 11, 2024

Leadership teams and employees need to be fully brought into the idea, data quality and integrity need to be guaranteed, compliance objectives need to be met – and that’s just the beginning. Pitfall 2: Data Quality and Integrity Using poor quality data with AI is like putting diesel into a gasoline car.

Data Quality 147

Data Quality AI AI Generative AI 147