Wed.Jul 19, 2023

article thumbnail

UNESCO Raises Privacy Concerns About AI Chip Implantation

Analytics Vidhya

In a recent revelation, the United Nations warned about the potential dangers of advanced neurotechnology combined with artificial intelligence (AI). According to reports, brain implants & scans, which have been making “warp speed” progress, could significantly threaten our mental privacy. UNESCO, the United Nations Educational, Scientific, and Cultural Organization, has expressed concerns over the far-reaching […] The post UNESCO Raises Privacy Concerns About AI Chip Impla

Reporting 271
article thumbnail

Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

On-prem data sources have the powerful advantage (for design, development, and deployment of enterprise analytics applications) of low-latency data delivery. Low-latency data delivery is a system level requirement that is tied to a critical business user requirement: low-latency analytics product delivery ! You cannot have the second without the first.

Analytics 196
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Ex-Google CEO to Empower US Military with AI and the Metaverse

Analytics Vidhya

The future of the US military is about to undergo a groundbreaking transformation. The change is fueled by cutting-edge technology and the visionary leadership of Eric Schmidt, the former CEO of Google and chair of Alphabet. Backed by Schmidt, a promising startup called Istari aims to revolutionize military engineering by harnessing the power of artificial […] The post Ex-Google CEO to Empower US Military with AI and the Metaverse appeared first on Analytics Vidhya.

article thumbnail

Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

article thumbnail

How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

article thumbnail

Top 50 AI Interview Questions with Answers

Analytics Vidhya

Introduction Are you preparing for an AI interview and looking for a comprehensive list of the top 50 AI interview questions? Look no further! This guide has compiled various questions covering various aspects of artificial intelligence. Whether you are a job seeker, a student, or simply curious about AI, this collection of questions will help […] The post Top 50 AI Interview Questions with Answers appeared first on Analytics Vidhya.

Analytics 270
article thumbnail

Dissecting Alstom’s three-part IT strategy

CIO Business Intelligence

Alstom builds high-speed trains, subways, monorails, and trams, but also develops turnkey systems, services, infrastructure, signaling, and digital mobility. And with a presence in 70 countries and around 74,000 employees, 3,100 of which are in Spain, the French multinational has important weight in the country, where it introduced a high-speed train, the first automatic metro, the latest generation signaling systems, and the return of the modern tram.

More Trending

article thumbnail

Lexmark International’s Vishal Gupta on next gen tech leadership

CIO Business Intelligence

As software and data move to the center of a company’s products and services, the background and skills of the executive leadership team must evolve. When IoT becomes the driver of a new solutions P&L, the general manager of that business will need more technology acumen than general managers of the past. And when software shifts from enabling the revenue stream to being the revenue stream, the focus of the chief technologist must expand from internal productivity to the external market.

IoT 92
article thumbnail

Meta’s Llama 2: Open-Sourced for Commercial Use

Analytics Vidhya

Meta, the parent company of Facebook, has made waves in the tech industry by open-sourcing its artificial intelligence model, Llama 2, for commercial use. This groundbreaking move provides startups and businesses a cost-effective alternative to expensive proprietary models offered by industry giants like OpenAI and Google. With Microsoft as their preferred partner, Meta aims to […] The post Meta’s Llama 2: Open-Sourced for Commercial Use appeared first on Analytics Vidhya.

Modeling 267
article thumbnail

Laminar Adds Support for SaaS and BigQuery Data Protection

Laminar Security

Laminar Launches Two New Solutions to Become First Full Data Security Platform for Multi-Cloud and SaaS Environments In today’s data-driven world, cloud computing has become the backbone of innovation and growth for enterprises across all industries. With an overwhelming majority of organizations utilizing cloud services and applications, data security has emerged as a critical concern by more than 93% of organizations.

article thumbnail

MNIST Image Reconstruction Using an Autoencoder

Analytics Vidhya

Introduction With so much information on the Internet, researchers and scientists are trying to develop more efficient and secure data transfer methods. Autoencoders have emerged as valuable tools for this purpose due to their simple and intuitive architecture. Usually, after the autoencoder is trained, the encoder weights can be sent to the sender, and the […] The post MNIST Image Reconstruction Using an Autoencoder appeared first on Analytics Vidhya.

Analytics 208
article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

article thumbnail

Unveiling the Power of Meta’s Llama 2: A Leap Forward in Generative AI?

KDnuggets

This article explores the technical details and implications of Meta's newly released Llama 2, a large language model that promises to revolutionize the field of generative AI. We delve into its capabilities, performance, and potential applications, while also discussing its open-source nature and the company's commitment to safety and transparency.

article thumbnail

Migrate data from Google Cloud Storage to Amazon S3 using AWS Glue

AWS Big Data

Today, we are pleased to announce a new AWS Glue connector for Google Cloud Storage that allows you to move data bi-directionally between Google Cloud Storage and Amazon Simple Storage Service (Amazon S3). We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources.

article thumbnail

GPT-Engineer: Your New AI Coding Assistant

KDnuggets

GPT-Engineer is an AI-powered application builder that generates codebases from project descriptions. It simplifies building applications, including our key-value database example, and works well with GPT-4.

IT 83
article thumbnail

Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances. Life sciences industry has—for decades now—moved from the traditional discovery-based drug development to target market-based drug development paradigm.

article thumbnail

Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

article thumbnail

Generative AI with Large Language Models: Hands-On Training

KDnuggets

This 2-hour training covers LLMs, their capabilities, and how to develop and deploy them. It uses hands-on code demos in Hugging Face and PyTorch Lightning.

article thumbnail

How to hire the right Data Engineer for your startup? A Comprehensive Guide

Aryng

While it may not be the “sexiest job of the 21st century” like a Data Scientist. It’s the Data Engineers who kick Data Science into high gear and help the startup unlock the power of data. Data Engineers are unicorns in their own right, and hiring a good Data Engineer is amongst the most valuable […] The post How to hire the right Data Engineer for your startup?

article thumbnail

KDnuggets News, July 19: ChatGPT Dethroned??? • Docker for Data Scientists • Reasoning with Tree of Thought Prompting

KDnuggets

This week: ChatGPT Dethroned??? • Docker for Data Scientists • Reasoning with Tree of Thought Prompting • and much more!

70
article thumbnail

ML Models on a Data Diet: How Training Set Size Impacts Performance

Dataiku

If you have spent some time training machine learning models on large datasets, chances are that you faced some hardware limitations and had to cut away some of your data. In this blog post, we study the impact of training ML models on a (random) selection of the dataset and show that over six datasets of varying size, you can retain at least 95% of the performance by training a model on only 30% of the data.

article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

article thumbnail

GPT-4 Details Have Been Leaked!

KDnuggets

What has OpenAI been keeping in the woodwork about GPT-4?

69
article thumbnail

Dimensional modeling in Amazon Redshift

AWS Big Data

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift provides built-in features to accelerate the process of modeling, orchestrating, and reporting from a dimensional model.

article thumbnail

Boosting Object Storage Performance with Ozone Manager

Cloudera

Introduction Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. The Ozone Manager is a critical component of Ozone. It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone.

article thumbnail

Red teaming 101: What is red teaming?

IBM Big Data Hub

This blog post is part of the “All You Need to Know About Red Teaming” series by the IBM Security Randori team. The Randori platform combines attack surface management (ASM) and continuous automated red teaming (CART) to improve your security posture. “No battle plan survives contact with the enemy,” wrote military theorist, Helmuth von Moltke, who believed in developing a series of options for battle instead of a single plan.

Testing 69
article thumbnail

Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

article thumbnail

Bulletproofing your threat surface with the Microsoft security ecosystem

CIO Business Intelligence

Since Satya Nadella took the helm in 2014, Microsoft has doubled down on its support for non-Microsoft technologies. Its commitment to Linux turned what might have been a Windows Server-based cloud computing backwater into the Microsoft Azure powerhouse, the only public cloud to give the AWS juggernaut a serious run for its money. This “plays well with others” strategy has proved wildly successful for Microsoft across its entire product line, even though it has always been strongest when deliver

article thumbnail

Partners in Innovation: Voice of the Customer Enhancements to Logi Symphony

Jet Global

It’s no secret that companies that listen to their customers have a greater chance at success. That is why we value our customers’ voice at insightsoftware. You use our products every day to run your organization, make critical decisions, achieve your business goals, and bring success to your own stakeholders. This approach provides you with a unique perspective on how our offerings can be enhanced with new features and tools that help you and your end users work better.

article thumbnail

Empowering citizen developers for real business impact

CIO Business Intelligence

Given the important role of software applications in powering business processes and the shortage of experienced programmers, it should not be surprising that citizen development is on the rise. Citizen developers are business users who build new applications or modify existing ones without needing help from the IT or development functions. While it’s one thing to have citizen developers in place to provide tactical help when professional developers are not available, it’s another to empower b