Data management and analytics have never been more critical to defining long-term success. The Optimal Data Analytics summit explores how AI and ML are shaping the future of data analytics, and discover strategies to implement deep learning, neural networks, RPA, NLP and more. Join us to learn how to unleash the power of augmented analytics to optimize core business processes, source new revenue streams, improve customer satisfaction and drive long-term success.
With numerous cyber threats lurking and many available attack vectors, organizations must have a comprehensive view of what they are up against and how to best face possible attacks. Join the Enabling Threat Detection and Response summit to hear from leading experts about the most common, pervasive threats striking companies, the best monitoring and analytics strategies out to there to quell them, and the most effective methods for stopping threats.
Top Stories
LLMs: Does human text data make generative AI an entity? July 17, 2023 by David Stephen There is a recent interview, The Ethical Puzzle of Sentient AI, where a professor said, “But there’s also the problem that I’ve called the ‘gaming problem’ — that when the system has access to trillions of words of training data, and has been trained with the goal of mimicking human behavior, the sorts of behavior patterns…
Next-Gen Data Scientist: Thinking Like an Economist July 16, 2023 by Bill Schmarzo Generative AI (GenAI) products like OpenAI ChatGPT, Microsoft Bing, and Google Bard are disrupting the roles of data engineers and data scientists. According to a recent report by McKinsey, these GenAI products could potentially automate up to 40% of the tasks performed by data science teams by 2025. And Emad Mostaque, founder and CEO of…
A Detailed Guide for Data Handling Techniques in Data Science July 13, 2023 by Shanthababu Pandian Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc., All these are taken care of by the respective team members and they need to work towards identifying relevant data sources, and associated with…
In-Depth
Leveraging AI for smarter electronic data interchange July 18, 2023 by Ovais Naseem Electronic Data Interchange (EDI) can be traced back to the late 1960s and early 1970s when businesses began to seek more efficient ways to exchange data electronically. Consequently, the concept of using computers to transmit and receive business documents emerged, aiming to replace manual paper-based processes. Then in the 1980s, standards organizations such as ANSI…
Real-time analytics July 17, 2023 by Markus Buhmann The modern enterprise is insight-driven, or, at least, aims to be. Historically, those insights were found in a data warehouse or data lake, populated with scheduled feeds and analysts, working feverishly over them. Feeds had plenty of bandwidth, but high latency. Think an 18-wheeler loaded with hard drives, driving from London to Birmingham. Nowadays, insights…
AI ushers in a new era of mental health monitoring July 17, 2023 by Devarati Sarkar AI Ushers in a New Era of Mental Health Monitoring Important Data Points: AI’s Role in Mental Healthcare Transformation – It can be safe to say that AI is driving a significant transformation in mental healthcare, promising more accessible, economical, and effective treatments. The Emerging Role of Technology and Artificial Intelligence As the modern world…
Data science vs web development: What’s the difference? July 17, 2023 by Gregory Batchelor If you’ve spent any time in the tech community in the last few years, you’ll have noticed the recent explosion in interest in both data science and web development. Young people interested in a career in tech are increasingly turning to careers as data scientists or web developers. The importance of web development should be…
How Do Companies Use Artificial Intelligence? July 14, 2023 by Yana Ihnatchyck By now, AI-based tools have totally changed the way companies operate across all industries. The use of AI in them to streamline operations, make informed decisions, and enhance customer experiences. Companies utilize AI in a multitude of ways, such as automating repetitive tasks, predicting customer behavior, and optimizing supply chain management. Today, we will dive…
Data modeling techniques in modern data warehouse July 13, 2023 by Shanthababu Pandian Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for analytics and advanced analytics. Yes! Of course, last 40+ years we all worked for OLTP, and followed by we started focusing on OLAP. After cloud ear come into the picture…
DSC Weekly 11 July 2023 July 11, 2023 by Scott Thompson Read more of the top articles from the Data Science Central community.
