Thu.Oct 26, 2023

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How to Code Using ChatGPT?

Analytics Vidhya

Introduction Incorporating artificial intelligence into modern programming has ushered in a new era of efficiency and innovation. ChatGPT, an AI language model developed by OpenAI, stands out as a significant and disruptive milestone among these trailblazing developments. This article explores the specifics of ChatGPT code, analyzing its capabilities, dependability, and how it enhances programmers’ skills. […] The post How to Code Using ChatGPT?

Modeling 314
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Drag, Drop, Analyze: The Rise of No-Code Data Science

KDnuggets

No-code or low-code functionalities in data science have gained significant traction in recent years. These solutions are well-proven and matured, and they make data science more accessible to a wider range of people.

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Revealing Google’s AI Marvel Gemini and Game-Changer Stubbs

Analytics Vidhya

The drive to integrate generative AI into essential tools and services has intensified into a vigorous struggle in the quickly changing digital ecosystem. Google stands out among the tech giants pushing the boundaries of innovation with two ground-breaking AI Marvels, Gemini and Stubbs. Let’s examine these fascinating developments in more detail, as well as their […] The post Revealing Google’s AI Marvel Gemini and Game-Changer Stubbs appeared first on Analytics Vidhya.

Analytics 314
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With generative AI, IT must deliver knowledge…not just technology

CIO Business Intelligence

You don’t have to look further than recent headlines to know generative AI has garnered outsized attention in 2023. And for good reason. GenAI has been estimated to increase skilled worker performance by up to 40% with the potential to add trillions of dollars in value to the global economy. This is because GenAI brings accessibility to tasks that once required specialized skillsets—like coding or graphics—to more workers than ever thought possible.

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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.

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How GANs Craft Artificial Celebrity Identities?

Analytics Vidhya

Introduction In the age of artificial intelligence, a remarkable phenomenon is unfolding—Generative Adversarial Networks (GANs) are ingeniously crafting artificial celebrity identities. This intriguing fusion of technology and creativity has given rise to an entirely new breed of digital celebrities. Join us on a captivating journey as we delve into the world of GANs and uncover […] The post How GANs Craft Artificial Celebrity Identities?

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5 key leadership skills an executive coach can help you master

CIO Business Intelligence

When a civil engineering company went through layoffs during tough economic times, its 28-year-old project manager suddenly found himself promoted to the company’s top IT role. Just a few years after doing desktop support at the same firm, he was thrust into the position of IT manager, meeting with the CEO and running the show for everything tech. “At 28, there were a lot of things I didn’t have experience with,” says Chris Cantrell.

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IBM bets on generative AI to escape economic headwinds

CIO Business Intelligence

IBM is betting big on generative AI to escape macroeconomic headwinds and finish the fiscal year at a high. “Overall, we believe the tailwinds outweigh the headwinds, and technology spend will continue to outpace GDP. In this past quarter, we saw good revenue growth in software and consulting,” IBM CEO Arvind Krishna said during an earnings call. “Clients are increasingly adopting our watsonx AI and data platform along with our hybrid cloud solutions to unlock productivity and operational effici

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10 Useful Python Skills All Data Scientists Should Master

Analytics Vidhya

Introduction Python is a versatile and powerful programming language that plays a central role in the toolkit of data scientists and analysts. Its simplicity and readability make it a preferred choice for working with data, from the most fundamental tasks to cutting-edge artificial intelligence and machine learning. Whether you’re just starting your journey in data […] The post 10 Useful Python Skills All Data Scientists Should Master appeared first on Analytics Vidhya.

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What is a business intelligence analyst? A key role for data-driven decisions

CIO Business Intelligence

Business intelligence (BI) analysts transform data into insights that drive business value. Through use of data analytics, data visualization, and data modeling techniques and technologies, BI analysts can identify trends that can help other departments, managers, and executives make business decisions to modernize and improve processes in the organization.

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What is MATLAB? Working, Functions, and Applications

Analytics Vidhya

Introduction MATLAB (Matrix Laboratory) is a proprietary software app developed by MathWorks. You might wonder what is MATLAB. Well, It is a multi-purpose programming language that contains its own set of libraries and IDE (Integrated Development Environment). It is used to handle complex tasks, like data manipulation matrix, data analysis, algorithm implementation, etc.

Software 295
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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?

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COO Marina Bellini on leading IT talent for growth

CIO Business Intelligence

Marina Bellini’s career journey has shaped her unique perspective and leadership playbook. She started out in Big 4 consulting and then spent several decades working across three global, big-brand CPG companies. Most recently, she made the shift from CI&DO to COO at Latin America’s largest bank, Banco Itaú, where she is leading a major operating model transformation.

IT 126
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Jira & Zendesk Aid with Analytics-Driven Management

Smart Data Collective

Description: Looking for a comparison between Jira Service Management and Zendesk? Discover the key differences between these two popular platforms in our comprehensive guide. Big data and technical support services are twin pillars of successful organizations. There are a growing number of platforms that help companies use analytics to offer better technical support.

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Overview of PEFT: State-of-the-art Parameter-Efficient Fine-Tuning

KDnuggets

Learn how Parameter-Efficient Fine-Tuning techniques like LoRA enable efficient adaptation of large language models using limited compute resources.

Modeling 107
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AI Technology is Invaluable for Cybersecurity

Smart Data Collective

AI poses a number of benefits and risks for modern businesses. One of the most striking examples is in the field of cybersecurity. One poll found that 56% of companies use AI to enhance their cybersecurity strategies. A number of hackers are using AI to exploit their targets more easily. On the other hand, many cybersecurity professionals are also using AI to safeguard their digital assets.

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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.

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Architect to operationalize your sustainability goals

IBM Big Data Hub

A corporate sustainability report is a comprehensive document that outlines a company’s efforts, policies, practices and performance related to social, environmental and economic sustainability. Corporate sustainability reports assess sustainability using three key parameters: environmental, social and governance , often abbreviated as ESG. This blog focuses on the importance of sustainability reference architecture and how it helps companies meet their sustainability goals, especially mee

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Serving Customers with Virtual Reality in the Metaverse

Smart Data Collective

Generative AI is having a huge impact on the customer service profession. One study estimates that the market for AI in this field will be worth nearly $2.9 billion by 2032. There are a lot of ways that AI is changing the future of the customer service sector. One of the biggest is with virtual reality. We talked about some of the many ways that virtual reality is changing our world.

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Operationalize and automate FinOps with Apptio Cloudability and IBM Turbonomic

IBM Big Data Hub

From traditional enterprises to the most innovative startups, organizations are using the public cloud. In fact, ESG Research found that 91% of all applications will eventually be hosted in the public cloud. That much investment has necessitated the FinOps movement , a cloud financial management discipline designed to bring financial accountability to the variable, consumption-based spend model of cloud.

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IMPACT: The Data Observability Summit is back November 8th and the lineup is bigger and better than EVER!

KDnuggets

This year, the Monte Carlo Data team has outdone themselves! Check out talks and panels from pioneering data and AI companies, networking, giveaways, and more. Register for the virtual summit today!

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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.

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Create, train, and deploy Amazon Redshift ML model integrating features from Amazon SageMaker Feature Store

AWS Big Data

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting revenue, predicting customer churn, and detecting anomalies.

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How to Use Hugging Face AutoTrain to Fine-tune LLMs

KDnuggets

Easily improve our LLM capability with this tool.

Modeling 114
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Connecting with Clouderans

Cloudera

In the bustling world of technology and corporate dynamics, finding a workplace that truly values employee well-being and fosters growth is like finding a needle in a haystack. But Prashant Bajpai, a staff software engineer in Bangalore, says he found that needle. In fact, what he found was so much more. Prashant shares that working at Cloudera is like having a basket of fruit that includes everything you could want.

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AI in Pharma: Key Takeaways from MIT Technology Review, Eli Lilly, and Regeneron

Dataiku

How is AI being adopted, deployed, and advanced in firms across the life sciences industry? It’s a question whose answer interests everyone from business leaders to IT professionals and data executives — at pharmaceutical companies, healthcare firms, and companies across the greater healthcare and life sciences (HLS) sector.

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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.

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What IT executives are saying about vendor consolidation

CIO Business Intelligence

As the tech economy has adjusted to the current economic environment, there has been a great deal of debate in both the vendor and investor communities about vendor consolidation. While there is little doubt that companies have been cutting back on expenses generally in response to economic uncertainty, startups in particular have been feeling the pain of contracting budgets and reluctant investors.

IT 128
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Amazon Redshift: Lower price, higher performance

AWS Big Data

Like virtually all customers, you want to spend as little as possible while getting the best possible performance. This means you need to pay attention to price-performance. With Amazon Redshift , you can have your cake and eat it too! Amazon Redshift delivers up to 4.9 times lower cost per user and up to 7.9 times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced

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Why IT needs to be in the driver’s seat with generative AI

CIO Business Intelligence

It wasn’t that long ago that the cloud transformed the IT world. For some, this transformation played to their strengths. Others took it as a wake-up call. After all, the swipe-your-credit-card-and-go era demonstrated that developers could leap-frog procurement cycles to gain access to what they desired: abundant access to cloud resources. Either way, IT ultimately did what it does best: established controls and governance and gave teams what they needed: access to rich resources while keeping a

IT 131
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3 ways to migrate and deploy IBM Maximo on AWS Cloud

IBM Big Data Hub

A recent IDC report — The Business Value of IBM Maximo — that surveyed 9 companies with an average of 8,500 employees, found that after these companies adopted IBM Maximo, it resulted in: a business benefit of approximately USD 14.6 million, on average, per year per organization; 43% less unplanned downtime per year; and USD 8.6 million in total equipment cost avoidances annually.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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How medical technology helps us live the best version of ourselves

CIO Business Intelligence

It’s almost commonplace. Get people chatting and you will find that several of them have had, or know someone that’s having, a joint replacement. It’s all about mobility. Modern medical technology is restoring agility with artificial joints and minimally invasive procedures so we can all heal faster and live our best lives. I recently had orthoscopic surgery on my knee (no scars) and walked out the same day.

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An automated approach to perform an in-place engine upgrade in Amazon OpenSearch Service

AWS Big Data

Software upgrades bring new features and better performance, and keep you current with the software provider. However, upgrades for software services can be difficult to complete successfully, especially when you can’t tolerate downtime and when the new version’s APIs introduce breaking changes and deprecation that you must remediate. This post shows you how to upgrade from Elasticsearch engine to OpenSearch engine on Amazon OpenSearch Service without needing an intermediate upgrade to Elasticse

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Run Generative AI on-premises, with a cloud experience

CIO Business Intelligence

IT leaders are grappling with a critical question as they seek to deploy generative AI workloads today: Is it better for my business to run GenAI applications in the public cloud or on-premises? The question inspires spirited debate from both sides of the hosting aisle. Most IT leaders say, “It depends.” True, but it also begs some unpacking. As you prepare to run a new workload, your first inclination may be to build, test, and launch it in a public cloud.

Testing 141
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Think Like a Data Scientist: The Importance of Building a Data-Driven Company Culture

Cloudera

We’ve all heard that data helps businesses make better decisions. The good news? This isn’t just speculation: research shows that companies who use data to drive decision making increase revenues by an average of more than 8%, are 23 times more likely to attract new customers, and are 19 times more likely to be profitable as a result. Most modern companies have access to rich and varied data sources embedded into their daily operations.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.