Wed.Jul 12, 2023

article thumbnail

ChatGPT Makes Laws to Regulate Itself

Analytics Vidhya

Costa Rica has taken an interesting step in regulating artificial intelligence (AI) by turning to an unlikely source for legal expertise – ChatGPT. In a move that caught the attention of policymakers worldwide, Costa Rican politicians sought the assistance of the AI-powered chatbot to draft a new law governing AI. With its remarkable ability to […] The post ChatGPT Makes Laws to Regulate Itself appeared first on Analytics Vidhya.

Analytics 271
article thumbnail

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing 

DataKitchen

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. Customers are asking for new data, people need questions answered, and the tech stack is barely running – data engineers don’t have time to create tests. They have a backlog full of new customer features or data requests, and they go to work every day knowing that they won’t and can’t meet customer expectations.

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

Anthropic Unveils Claude 2: The Next-Gen AI Chat Program Revolutionizing Coding

Analytics Vidhya

Artificial intelligence startup Anthropic, backed by tech giant Google, has significantly advanced its popular chat program, Claude. The latest upgrade, called “Claude 2,” incorporates cutting-edge technology that enhances computer coding and arithmetic capabilities. This breakthrough comes just a few months after the initial launch of Claude, highlighting the intense competition among industry leaders like OpenAI, […] The post Anthropic Unveils Claude 2: The Next-Gen AI Chat P

article thumbnail

When will AI usher in a new era of manufacturing?

CIO Business Intelligence

Manufacturing processes are industry dependent, and even within a sector, they often differ from one company to another. However, some things are common to virtually all types of manufacturing: expensive equipment and trained human operators are always required, and both the machinery and the people need to be deployed in an optimal manner to keep costs down.

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

How to Perform Label Encoding in Python?

Analytics Vidhya

One often encounters datasets with categorical variables in data analysis and machine learning. These variables represent qualitative attributes rather than numerical values. However, many machine learning algorithms require numerical input. This is where label encoding comes into play. By transforming category data into numerical labels, label encoding enables us to use them in various algorithms. […] The post How to Perform Label Encoding in Python?

article thumbnail

Will 300 million Jobs really be Exposed or Lost to AI Replacement?

KDnuggets

The authors of the Goldman Sachs report suggest that 300 million jobs might be affected by AI replacement. Here’s why reason to be both cautious and hopeful.

More Trending

article thumbnail

KDnuggets News, July 12: 5 Free Courses on ChatGPT • The Power of Chain-of-Thought Prompting

KDnuggets

What happened in the last week: 5 Free Courses on ChatGPT • The Power of Chain-of-Thought Prompting • and much more!

81
article thumbnail

Top 15 Big Data Softwares to Know About in 2023

Analytics Vidhya

Best Big Data Softwares - Apache Hadoop, Apache Spark, apache Kafka, Apache Storm, Apache Cassandra, Apache Hive, zoho & more.

Big Data 266
article thumbnail

7 Steps to Mastering Data Science Project Management with Agile

KDnuggets

In a data science project, you typically have the following management tools: Waterfall, Agile, and Hybrid Methodology. In this blog, in particular, we will focus on Agile.

article thumbnail

GKN Aerospace — Journey to integrated business planning

IBM Big Data Hub

GKN Aerospace is a leading global supplier in the aerospace industry, specializing in the design, manufacturing, and supply of advanced aerospace systems and components. With a history spanning several decades, GKN Aerospace has established itself with major aircraft manufacturers and operators worldwide as a trusted partner that supports its goals of pushing the boundaries of aircraft performance and sustainability.

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

A Brief History of Data Visualization

Jet Global

Editors note: This blog was originally published in October 2013, and has been completely revamped and updated for accuracy, relevancy, and comprehensiveness in September 2019 Prior to the 17th century, data visualization existed mainly in the realm of maps, displaying land markers, cities, roads, and resources. As the demand grew for more accurate mapping and physical measurement, better visualizations were needed.

article thumbnail

3 ways the IBM and Adobe partnership will accelerate content supply chains with generative AI

IBM Big Data Hub

We’re delighted about the recent unveiling of IBM and Adobe’s dynamic partnership to help brands accelerate their content supply chains using generative AI. Our longstanding partnership with Adobe allows us to offer an unparalleled range of services to meet the evolving needs of the marketing and creative community. So, what does this partnership mean in practical terms?

article thumbnail

The Energy Utilities Series: Challenge 2 – Electrification (Post 3 of 6)

Data Virtualization

Reading Time: 4 minutes In my previous post in this series, I talked about the challenges and opportunities of decarbonization, and in this one, I focus on electrification. If decarbonization is the reduction of carbon-based fuels in the electricity generation process, electrification is the. The post The Energy Utilities Series: Challenge 2 – Electrification (Post 3 of 6) appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Informatio

article thumbnail

Enterprises need generative AI tailored to their unique needs, with their own unique data

IBM Big Data Hub

In less than a year, we’ve gone from the “run your business and apply AI to help” paradigm to a reality where enterprises in every industry are navigating how to embed AI into the fabric of their strategies. Generative AI based on foundation models has brought us to this inflection point. In fact, new research from IBM’s Institute for Business Value CEO study found three out of four (75%) CEOs surveyed believe the organization with the most advanced generative AI wins, an

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

Configure end-to-end data pipelines with Etleap, Amazon Redshift, and dbt

AWS Big Data

This blog post is co-written with Zygimantas Koncius from Etleap. Organizations use their data to extract valuable insights and drive informed business decisions. With a wide array of data sources, including transactional databases, log files, and event streams, you need a simple-to-use solution capable of efficiently ingesting and transforming large volumes of data in real time, ensuring data cleanliness, structural integrity, and data team collaboration.

article thumbnail

CaixaBank CIO Pere Nebot discusses modernizing business operations for an enhanced, customer-centric experience

IBM Big Data Hub

As a leading financial group in Spain, CaixaBank has long been an innovator by taking a technology-first approach by placing innovation, digital transformation, customer experience and sustainable banking at the forefront of its strategy. The bank reportedly serves 20 million customers and is a country leader in digital banking with more than 11 million customers.

article thumbnail

5 Zero Trust and SASE trends for CISOs to watch

CIO Business Intelligence

Last week, I attended the annual Gartner® Security and Risk Management Summit. The event gave Chief Information Security Officers (CISOs) and other security professionals the opportunity to share concerns and insights about today’s most pressing issues in cybersecurity and risk management. While every situation is unique, there are two topics our conversations always seemed to return to: Zero Trust and SASE.

article thumbnail

Contingency plan examples: A step-by-step guide to help your business prepare for the unexpected

IBM Big Data Hub

Enterprises are often defined by how they deal with events that are out of their control. For example, how you react to a disruptive technology or cope with a sudden change in the markets can be the difference between success and failure. Contingency planning is the art of preparing for the unexpected. But where do you start and how do you separate the threats that could do real harm to your business from the ones that aren’t as critical?

Risk 40
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

OEE vs. TEEP: What’s the difference?

IBM Big Data Hub

Breakdowns, equipment failure, outages and other shop floor disruptions can result in big losses for an organization. Production managers are tasked with ensuring that factories and other production lines are getting the most value out of their equipment and systems. Overall equipment effectiveness (OEE) and total effective equipment performance (TEEP) are two related KPIs that are used in manufacturing and production environments to help prevent losses by measuring and improving the performance