Data loss is an inescapable reality in the digital business world. Data backup techniques are conceptually simple, but implementing a robust disaster recovery plan that both protects data from cyberattacks and maintains business continuity during a breach can be difficult. Register for the free Advancing Data Backup Tools and Techniques summit to gain insights from leading experts on the future of data backup solutions to help design a disaster recovery plan that protects your most critical data and mitigates the effects of attacks when they do occur.
The cloud ecosystem is larger, more complex and interdependent than ever. As organizations increasingly migrate their data and assets to the cloud, attacks that attempt to break through its growing attack surface are getting more sophisticated. Cloud security strategies are necessary for proper user and device authentication, resource access control and data privacy to ensure that the cloud system remains impenetrable to cyberattacks. Attend the Securing the Cloud Ecosystem summit to hear leading experts discuss effective strategies to secure identity and access management as well as the leading tools and approaches that best secure the extensive cloud ecosystem from insidious attacks.
Top Stories
Scaling understanding with the help of feedback loops, knowledge graphs and NLP March 4, 2024 by Alan Morrison Assisted annotation and other automation methods that can be used for knowledge graph creation and natural language understanding should be more flexible and iterative than they often are. Much depends on the architecture and tooling choices your organization makes.
New Book: Practical GenAI and Machine Learning – Projects and Datasets February 29, 2024 by Vincent Granville This book is for participants in my AI and machine learning certification program. However, it is now free and available to everyone. With tutorials, enterprise-grade projects and solutions, it covers state-of-the-art material on topics such as generative adversarial networks (GAN), specialized LLM, data synthetization, as well as classical machine learning.
GenAI: The User Interface to Artificial Intelligence (AI)? March 3, 2024 by Bill Schmarzo Generative AI (GenAI) Chatbots like Microsoft Copilot (formerly Bing AI), Google’s Gemini (formerly Google Bard), and OpenAI ChatGPT (still OpenAI ChatGPT) are driving extraordinary productivity improvements by assisting knowledge workers in providing highly relevant information, answering questions, and engaging in wide-ranging exploratory conversations.
In-Depth
Future of LLM application development – impact of Gemini 1.5 Pro with a 1M context window March 5, 2024 by ajitjaokar Current LLM applications are mostly based on langchain or llamaindex. langChain and LlamaIndex are frameworks designed for LLM development. They each cater to different use cases with unique features. LangChain is a framework ideal for creating data-aware and agent-based applications.
Open source LLMs – no more than a marketing term? March 5, 2024 by ajitjaokar This week, the tech community has been abuzz with the announcement of the latest model from Mistral being closed source. This revelation confirms a suspicion held by many: the concept of open-source Large Language Models (LLMs) today is more a marketing term than a substantive promise.
Data Cleaning in Python vs. Data Quality Tools March 5, 2024 by Ovais Naseem In the era of big data, the importance of clean and high-quality data cannot be overstated. Data cleaning is a crucial step in the data preprocessing pipeline, aimed at identifying and rectifying errors, inconsistencies, and inaccuracies in datasets. Traditionally, data cleaning has been performed using Python and other programming languages.
Leveraging machine learning for predictive analysis in customer satisfaction surveys March 1, 2024 by John Lee The dynamic landscape of customer-centric businesses requires understanding and improving customer satisfaction. Traditional survey analysis rarely yields real-time actionable insights. However, machine learning (ML) predictive analysis allows organizations to use advanced algorithms to transform customer satisfaction surveys. ML predictive analysis is changing how businesses measure and improve customer satisfaction.
Mobile drivers’ licenses: A humbler take on self-sovereign identity and personal data protection March 1, 2024 by Alan Morrison I’ve been interested in self-sovereign identity for a number of years now, ever since I interviewed Phil Windley, a founder of the Internet Identity Workshop (IIW) and then chair of the Sovrin Foundation, in 2018. In a self-sovereign identity (SSI) scenario, the users themselves control the sensitive information previously stored by a third party.
Optimizing logistics operations with technology implementation February 29, 2024 by Manoj Kumar In today’s fast-paced business terrain, optimizing logistics operations has become more pivotal than ever. With increasing competition and rising client prospects, companies are under pressure to deliver products directly and quickly. The capability to effectively manage and streamline the movement of goods and products has a direct impact on client satisfaction, cost-effectiveness, and overall functional success.
DSC Weekly 27 February 2024 February 27, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
