Analytics Vidhya

AUGUST 24, 2023

In the ever-evolving world of artificial intelligence, OpenAI has unleashed a game-changing update that’s set to redefine how we interact with machines. The new kid on the block is GPT-3.5 Turbo, bringing the power of fine-tuning to the forefront. This means that the AI, known for its text-generation prowess, can now be customized to suit […] The post OpenAI Unleashes Custom Power with GPT-3.5 Turbo’s Fine-Tuning appeared first on Analytics Vidhya.

Interactive 271

Interactive Analytics IT Modeling 271

DataKitchen

AUGUST 24, 2023

Since the first edition of the DataOps Cookbook in 2019, we have talked with thousands of companies about their struggles to deliver data-driven insight to their customers. In many ways, they all have the same problems. They have built data and analytic systems with great hope of success. Still, they are burdened with too many errors, are overwhelmed with custom requests, and know they fail to succeed in their goal of leading their organizations to be more data-driven.

Data-driven 130

Data-driven Forecasting Metrics Dashboards 130

Analytics Vidhya

AUGUST 24, 2023

Introduction Generative AI has evolved dramatically, encompassing many techniques to create novel and diverse data. While models like GANs and VAEs have taken center stage, a lesser-explored but incredibly intriguing avenue is the realm of Neural Differential Equations (NDEs). In this article, we delve into the uncharted territory of NDEs in Generative AI, uncovering their […] The post Exploring Neural Differential Equations in Generative AI appeared first on Analytics Vidhya.

Modeling 271

Modeling Analytics Deep Learning 271

KDnuggets

AUGUST 24, 2023

How to Use ChatGPT to Convert Text into a PowerPoint Presentation • 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science • Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever • Python Vector Databases and Vector Indexes: Architecting LLM Apps • 3 Ways to Access GPT-4 for Free

Data Science 108

Data Science 108

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

AUGUST 24, 2023

Introduction Fashion Forward with Generative AI embarks on a journey of creative synergy. It is revealing a new era where technology and fashion converge. This blog reveals Generative AI’s dramatic impact on fashion, promoting limitless innovation, individualized experiences, and sustainable practices. The perspective broadens through bespoke designs and trend forecasting, changing the essence of fashion. […] The post Fashion Forward with Generative AI appeared first on Analytics Vid

Forecasting 271

Forecasting Technology Analytics IT 271

CIO Business Intelligence

AUGUST 24, 2023

Of all the trade-off decisions you may have to make as an IT executive, few stand to alter the course of your career as dramatically as that of whether to serve a firm owned by private equity (or “PE”). On the one hand, such firms (often referred to as portfolio companies, or “PortCos”), can excite and inspire, especially when turbo-charged with capital and expertise.

Measurement 98

Measurement Digital Transformation Management Technology 98

CIO Business Intelligence

AUGUST 24, 2023

While AI has steadily worked its way into the enterprise and business vernacular over many years, gen AI has not only become an abrupt and immediate force unto itself, but also an overarching AI accelerant. Not without warning signs, however. Gen AI has the potential to magnify existing risks around data privacy laws that govern how sensitive data is collected, used, shared, and stored.

Uncertainty 98

Uncertainty Risk Testing Enterprise 98

Analytics Vidhya

AUGUST 24, 2023

The present digital era has provided a wide scope to capture and store everything. With precious memories occurring at unexpected moments, photographs are the best way to preserve them permanently. Advanced editing techniques help enhance the quality of our memories by allowing us to modify them according to our needs. Photography now provides a platform […] The post Top 10 AI Photo Editors to Use in 2023 appeared first on Analytics Vidhya.

Analytics 269

Analytics Machine Learning 269

CIO Business Intelligence

AUGUST 24, 2023

By Chet Kapoor, Chairman & CEO of DataStax The energy around AI is nothing short of electrifying. It’s not just a buzzword or part of a science fiction storyline. It’s our new reality and will be the most important and disruptive innovation of our lifetime. The market and opportunity ahead are massive. A large majority of applications will include AI by 2025, and let’s be honest, you can’t put a price on GPT.

Cost-Benefit 98

Cost-Benefit Enterprise Machine Learning Marketing 98

Analytics Vidhya

AUGUST 24, 2023

Introduction Siamese networks offer an intriguing approach to classification, allowing accurate image categorization based on just one example. These networks employ a concept called Contrastive Loss to gauge the similarity between pairs of images within a dataset. Unlike traditional methods focusing on deciphering image content, Siamese networks concentrate on understanding the variations and resemblances among […] The post Introduction and Implementation of Siamese Networks appeared firs

Analytics 268

Analytics 268

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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

CIO Business Intelligence

AUGUST 24, 2023

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception. But as the company evolved since the launch of that project, so did its reliance on channel partners to accelerate customer acquisition and expansion.

Sales 97

Sales Data-driven Digital Transformation Machine Learning 97

Analytics Vidhya

AUGUST 24, 2023

In the ever-evolving landscape of technology, one skill has emerged as the shining star: Artificial Intelligence (AI). With its massive tech workforce, India has taken the lead in the AI skills race. The country’s tech-savvy professionals are embracing AI, reshaping their careers, and driving innovation across industries. A report by the National Association of Software […] The post India Ranked 1 in AI Skill & Talent Among All OECD and G20 Countries appeared first on Analytics

Reporting 266

Reporting Software Technology Analytics 266

KDnuggets

AUGUST 24, 2023

Kickstart a new career or develop your current one with these YouTube playlists by trusted Universities!

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104

IBM Big Data Hub

AUGUST 24, 2023

For disaster-prone areas, fragile connectivity remains a major problem, often going offline in critical moments. Aerospace enterprises face a similar challenge when trying to run consistent high-altitude connectivity while operating in remote locations, which can also be very expensive. This is where Project OWL comes into play: developing new technologies to help address these challenges.

IT 74

IT Testing Dashboards Technology 74

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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

KDnuggets

AUGUST 24, 2023

Cloud computing offers the efficiency, scalability, and security data science workflows need. Discover how it provides these benefits here.

Data Science 87

Data Science IT 87

IBM Big Data Hub

AUGUST 24, 2023

It looks like an easy day for James, an IT Administrator. It is vacation time and most of his end users are out of the office, so he thinks it is time to have a look at some of the backlog tasks—maybe even procrastinate a bit. But then, the phone rings. It’s Robert, one of the end users in his company. Robert is very nervous—he’s calling from the hotel because he has lost his iOS smartphone on the beach.

Software 70

Software Management Enterprise Technology 70

KDnuggets

AUGUST 24, 2023

GPT4 kept the model secret to avoid competition, now the secret is out!

Modeling 104

Modeling 104

Data Virtualization

AUGUST 24, 2023

Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more. Many. The post Navigating the Data Mesh Paradigm: Opportunities, Challenges, and the Path Forward appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analys

Structured Data 52

Structured Data Data Integration Management Analytics 52

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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.

Analytics

Dataiku

AUGUST 24, 2023

In the first webinar of our Generative AI bootcamp series “Bridging the Gap Between the Model and the Business, ft: Firstmark Capital, Hugging Face, and Stochastic,” Dataiku CEO Florian Douetteau asked his fellow panelists some of the biggest misconceptions about Large Language Models (LLMs) that they’ve seen so far:

Modeling 52

Modeling 52

Data Virtualization

AUGUST 24, 2023

Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more. Many. The post Navigating the Data Mesh Paradigm: Opportunities, Challenges, and the Path Forward appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analys

Structured Data 52

Structured Data Data Integration Management Analytics 52

Ontotext

AUGUST 24, 2023

When we design something, if we want it to be functional, it’s good to involve the people who will use it. This idea is the premise of Christopher Alexander’s book A Pattern Language: Towns, Buildings, Construction , which became very influential in both construction and computer science after its publication in 1977. Alexander was a civil architect and he believed that some of the greatest places in the world were designed not by architects but by ordinary people.

Data Integration 52

Data Integration Modeling Business Objectives Optimization 52

Jet Global

AUGUST 24, 2023

Cloud computing is proliferating businesses across all industries. According to a recent survey by the Harvard Business Review , 81% of respondents said cloud is very or extremely important to their company’s growth strategy. Overall, nearly two-thirds of senior executives stated their businesses have accelerated their plans to migrate to the cloud.

Finance 52

Finance Reporting Data Integration Risk 52

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.

Management