The Data Administration Newsletter
NOVEMBER 6, 2024
The rapid adoption of artificial intelligence (AI) in data archiving for IT operations has transformed how organizations manage vast amounts of information. However, AI presents many ethical considerations that must be addressed.
Dataconomy
NOVEMBER 6, 2024
On-device AI and running large language models on smaller devices have been one of the key focus points for AI industry leaders over the past few years. This area of research is among the most critical in AI, with the potential to profoundly influence and reshape the role of AI, computers, and mobile devices in everyday life. This research operates behind the scenes, largely invisible to users, yet mirrors the evolution of computers — from machines that once occupied entire rooms and were access
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Data Science Dojo
NOVEMBER 5, 2024
Large language models are expected to grow at a CAGR (Compound Annual Growth Rate) of 33.2% by 2030. It is anticipated that by 2025, 30% of new job postings in technology fields will require proficiency in LLM-related skills. As the influence of LLMs continues to grow, it’s crucial for professionals to upskill and stay ahead in their fields. But how can you quickly gain expertise in LLMs while juggling a full-time job?
phData
NOVEMBER 4, 2024
The modern data stack is defined by its ability to handle large datasets, support complex analytical workflows, and scale effortlessly as data and business needs grow. It must integrate seamlessly across data technologies in the stack to execute various workflows—all while maintaining a strong focus on performance and governance. Two key technologies that have become foundational for this type of architecture are the Snowflake AI Data Cloud and Dataiku.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Precisely
NOVEMBER 5, 2024
Key Takeaways: Data quality is the top challenge impacting data integrity – cited as such by 64% of organizations. Data trust is impacted by data quality issues, with 67% of organizations saying they don’t completely trust their data used for decision-making. Data quality is the top data integrity priority in 2024, cited by 60% of respondents. The 2025 Outlook: Data Integrity Trends and Insights report is here!
Towards AI
NOVEMBER 6, 2024
Last Updated on November 6, 2024 by Editorial Team Author(s): Talha Nazar Originally published on Towards AI. Understanding student engagement is essential in the digital age of online education, internships, and competitions. But what if we could predict a student’s engagement level before they begin? This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
NOVEMBER 6, 2024
It’s undeniable that it’s a particularly hard time to be a woman in tech. While the mass layoffs experienced in 2023 have steadied somewhat—according to tech layoff tracker Layoffs.fyi , 490 tech companies have made 143,142 workers redundant in 2024 compared to 1,193 tech companies making 264,220 employees redundant in 2023—women are still vastly underrepresented in the sector.
insideBIGDATA
NOVEMBER 4, 2024
In this contributed article, Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility, discusses how AI and machine learning are redefining the driving experience by personalizing every aspect of vehicle interaction, from tailored comfort settings to predictive maintenance. These technologies enable cars to adapt in real time to driver preferences and behaviors, making driving more intuitive, enjoyable, and safe.
Analytics Vidhya
NOVEMBER 7, 2024
Generative AI is a newly developed field booming exponentially with job opportunities. Companies are looking for candidates with the necessary technical abilities and real-world experience building AI models. This list of interview questions includes descriptive answer questions, short answer questions, and MCQs that will prepare you well for any generative AI interview.
ML @ CMU
NOVEMBER 7, 2024
TL;DR: Landmines pose a persistent threat and hinder development in over 70 war-affected countries. Humanitarian demining aims to clear contaminated areas, but progress is slow: at the current pace, it will take 1,100 years to fully demine the planet. In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool for landmine contamination to identify hazardous clusters under geographic and budget constraints, experimentally reducing false alarms and clearance
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
NOVEMBER 7, 2024
With lots of data, a strong model and statistical thinking, scientists can make predictions about all sorts of complex phenomena. Today, this practice is evolving to harness the power of machine learning and massive datasets. In this episode, co-host Steven Strogatz speaks with statistician Emmanuel Candès about black boxes, uncertainty and the power of inductive reasoning.
insideBIGDATA
NOVEMBER 4, 2024
In this contributor, Cory Hymel, VP of Research & Innovation at Crowdbotics, discusses why we need to think bigger about AI's role in software development. The growing capabilities of AI models, particularly large language models, have the potential to fundamentally disrupt the software development lifecycle (SLDC).
Analytics Vidhya
NOVEMBER 6, 2024
AI is the future and there’s no doubt it will make headway into the entertainment and E-sports industries. Given the extreme competitiveness of E-sports, gamers would love an AI assistant or manager to build the most elite team with maximum edge. Such tools could in theory use vast data and find patterns or even strategies […] The post Build an AI-Powered Valorant E-sports Manager with AWS Bedrock appeared first on Analytics Vidhya.
Dataconomy
NOVEMBER 4, 2024
Amazon’s plans to power its U.S. data centers with nuclear energy have run into a significant hurdle. The Federal Energy Regulatory Commission (FERC) rejected a deal that would have allowed Amazon to draw more power from the Susquehanna nuclear plant in Pennsylvania. The proposed amendment would have increased the co-located load from 300 to 480 MW, a move that regulators argued could jeopardize grid reliability and potentially increase energy costs for other users.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
AWS Machine Learning Blog
NOVEMBER 7, 2024
Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.
insideBIGDATA
NOVEMBER 5, 2024
At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif.
Analytics Vidhya
NOVEMBER 6, 2024
Chatbots have evolved from simple question-answer systems to sophisticated, intelligent agents capable of handling complex conversations. As interactions in various fields become more nuanced, the demand for chatbots that can seamlessly manage multiple participants and complex workflows grows. Thanks to frameworks like AutoGen, creating dynamic multi-agent environments is now more accessible.
Dataconomy
NOVEMBER 7, 2024
Forget the glitz of Dubai or the bustle of Lisbon. If you’re serious about the future of Web3 (or want to know what all the fuss is about), you need to head to Narva, Estonia, on December 4-5. Why Narva? Because that’s where W3N is setting up shop, and this isn’t your average Web3 or tech conference. I’ve been covering tech since before some of you were born (ouch!
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
KDnuggets
NOVEMBER 6, 2024
In this article, we will learn how to navigate the fine balance building AI regulation while simultaneously fostering innovation.
databricks
NOVEMBER 5, 2024
We’re excited to announce that materialized views (MVs) and streaming tables (STs) are now Generally Available in Databricks SQL on AWS and Azure.
Analytics Vidhya
NOVEMBER 4, 2024
In early 2024, Brazil experienced heavy rainfall, particularly in the south and northeast regions, leading to floods that damaged cities, destroyed crops, and caused fatalities. As climate change increases the frequency of extreme weather conditions, such as droughts and floods, contingency planning and risk assessment are becoming increasingly crucial for managing such events.
Towards AI
NOVEMBER 8, 2024
Author(s): Tejashree_Ganesan Originally published on Towards AI. Automating Words: How GRUs Power the Future of Text Generation Isn’t it incredible how far language technology has come? Natural Language Processing, or NLP, used to be about just getting computers to follow basic commands. Now, though, we’re seeing computers actually starting to understand language and even respond in ways that feel surprisingly human.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Adrian Bridgwater for Forbes
NOVEMBER 5, 2024
The use of quantum error correction techniques is supposed to help us get out of the Noisy Intermediate Scale Quantum (NISQ) era.
KDnuggets
NOVEMBER 5, 2024
Enhance your data science portfolio with these seven engaging Python projects that demonstrate essential programming and software engineering skills.
Analytics Vidhya
NOVEMBER 8, 2024
Senior leaders, including CXOs, constantly face the challenge of having to quickly make informed decisions that shape the future of their organizations. This decision-making process can often become overwhelming, owing to the ever-increasing volume of data and the complexity of modern business. Fortunately, advancements in artificial intelligence (AI) are bringing out innovative solutions and tools […] The post AI Agents for Decision Makers: Your Guide to Building Next-Gen Enterprises appe
AWS Machine Learning Blog
NOVEMBER 6, 2024
The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping and interacting with their business users. Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with e
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Towards AI
NOVEMBER 8, 2024
Last Updated on November 8, 2024 by Editorial Team Author(s): Joseph Robinson, Ph.D. Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Supervised Learning: Train once, deploy static model; Contextual Bandits: Deploy once, allow the agent to adapt actions based on content and its corresponding reward.
KDnuggets
NOVEMBER 7, 2024
Discover how to leverage Python's f-strings (formatted string literals) to write cleaner, more efficient, and more readable code.
Analytics Vidhya
NOVEMBER 3, 2024
The integration of Meta AI into WhatsApp is transforming our mobile experience. Meta has launched its virtual assistant across its various platforms: Facebook, Instagram, WhatsApp, and Messenger. This advanced chatbot uses the company’s most powerful language model, which is currently Llama 3.2, to offer context-aware interactions that boost productivity and engagement.
AWS Machine Learning Blog
NOVEMBER 6, 2024
The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These powerful models, trained on vast amounts of data, can generate human-like text, answer questions, and even engage in creative writing tasks. However, training and deploying such models from scratch is a complex and resource-intensive process, often requiring specialized expertise and significant computational resources.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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