Analytics Vidhya

JULY 24, 2023

Introduction Image depth estimation is about figuring out how far away objects in an image are. It’s an important problem in computer vision because it helps with things like creating 3D models, augmented reality, and self-driving cars. In the past, people used techniques like stereo vision or special sensors to estimate depth. But now, there’s […] The post Image Depth Estimation Using Depth Prediction Transformers (DPTs) appeared first on Analytics Vidhya.

Modeling 271

Modeling Analytics IT Deep Learning 271

CIO Business Intelligence

JULY 24, 2023

IT is playing a key role in how the world’s most popular sport is played and experienced in Spain. The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game. The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

Analytics Vidhya

JULY 24, 2023

Artificial Intelligence is now witnessing exponential growth spanning various fields. With its expansion, the domain presents a plethora of opportunities for aspiring individuals to learn and master. Among them, several AI enthusiasts have emerged, excelling in their respective fields and driven by their unwavering passion for teaching. They strive to make the journey of other […] The post Top 15 AI YouTubers to Follow in 2023 appeared first on Analytics Vidhya.

Analytics 265

Analytics IT Machine Learning Data Science 265

Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. I will start by saying that I believe LLM holds great promise. But there are also a host of other issues (and cautions) to take into consideration. The technology is very new and not well understood. Most applications are still exploratory.

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Modeling Management Structured Data Data Architecture 98

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.

Management

Analytics Vidhya

JULY 24, 2023

Introduction Generative Large Language Models like GPT, PaLM, etc are trained on large amounts of data. These models do not take the texts from the dataset as it is, because computers do not understand text, they only understand numbers. Embeddings are the representation of the text but in a numerical format. All the information to […] The post Guide to Chroma DB | A Vector Store for Your Generative AI LLMs appeared first on Analytics Vidhya.

Modeling 264

Modeling Analytics IT 264

Smart Data Collective

JULY 24, 2023

Vendor Management Systems (VMS) have become an indispensable tool for streamlining procurement and fostering strong vendor relationships. With the advent of the Fourth Industrial Revolution, where the lines between physical, digital, and biological spheres are increasingly blurred, a new transformational player has emerged on the VMS scene: Artificial Intelligence (AI).

Management 87

Management Cost-Benefit Data-driven Predictive Analytics 87

Smart Data Collective

JULY 24, 2023

Analytics technology has been a huge gamechanger for the sports industry. Fortune Business Insights reports that the sports industry spent $2.98 billion on analytics last year. That figure is projected to keep growing at a rate of 28.7% a year until 2030. Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

KDnuggets

JULY 24, 2023

When working on a data science problem, one of the most important choices to make is selecting the appropriate machine learning algorithm.

Machine Learning 92

Machine Learning Data Science 92

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP). However, both of these options are associated with substantial cost and risk , as organizations underestimate the complexity and the necessary expertise required to not only build b

Analytics 65

Analytics Testing Metrics Management 65

Decision Management Solutions

JULY 24, 2023

We’ve talked about different kinds of ML/AI in other posts and covered both Interface AI and Research AI. Today we’re talking about operational AI – the most powerful approach to applying ML and AI. If you want to MAKE money from applying ML and AI rather than simply SPEND money on ML/AI, this is where you should focus! Operational AI is about applying ML/AI to make probabilistic predictions or classifications of a transaction based on historical data you have available.

Insurance 52

Insurance Visualization Modeling Interactive 52

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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?

Analytics

Dataiku

JULY 24, 2023

There's a lot of recent excitement around Generative AI — in particular Large Language Models (LLMs). This means business leaders are pushing forward with the use of AI at an unprecedented pace.

Enterprise 52

Enterprise Modeling 52

KDnuggets

JULY 24, 2023

In this article, we will explore how to utilize the Pandas for One-Hot encoding categorical data.

Data Science 67

Data Science 67

CIO Business Intelligence

JULY 24, 2023

Sandwich-focused restaurant franchise Subway has some 37,000 locations worldwide, each of which faces a unique combination of factors, such as local competition and customer demographics, that impact sales and profitability. But Donagh Herlihy , the company’s chief digital and information officer, has a corporate-level solution to help each individual store determine “the sweet spot of pricing” to optimize profitability for that restaurant.

IT 98

IT Sales Business Objectives Marketing 98

IBM Big Data Hub

JULY 24, 2023

The complexity of IT systems has increased significantly in recent years, creating a greater urgency for IT teams to stay on top of the health of operations. An increase in devices connecting to individual applications, the rise of cloud computing and the development of new products have led companies to invest in digital services to meet customer needs.

IT 62

IT Analytics Cost-Benefit Predictive Analytics 62

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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.

Visualization

Jet Global

JULY 24, 2023

With economic volatility, geo-political unrest, and supply chain disruptions all stubbornly impacting global markets, traditional processes are giving way to new processes. Enter operational reporting, the change agent in our story. In the past year alone, a staggering 66% of IT decision-makers have witnessed a surge in requests for operational reports.

Operational Reporting 52

Operational Reporting Reporting Enterprise Finance 52

IBM Big Data Hub

JULY 24, 2023

If you read some of my earlier blog posts , you know that I automated the setup (onboarding) for workshops and hackathons. Thus far, running my Terraform scripts to deploy resources and privileges meant allowing access to them. Thanks to a (relatively) new IBM Cloud security feature called time-based restrictions , I can decouple the deployment process from when access is possible.

Management 88

Management IT 88

Jet Global

JULY 24, 2023

Increasingly, enterprise software companies aim to transition their customers to the cloud. While they typically emphasize the benefits of the cloud for their clients, they understand the advantages for themselves as well. They see opportunities to boost revenue through more stable and predictable income streams, gain better insights into customer usage patterns, effortlessly deploy fixes to customer environments, and more.

Reporting 52

Reporting Operational Reporting Data Warehouse Enterprise 52