Sat.Sep 02, 2023 - Fri.Sep 08, 2023

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Security In Automated Document Processing: Ensuring Data Integrity And Confidentiality

Smart Data Collective

With the rapid advancement of technology, businesses have streamlined many of their operations to ensure speed and efficiency. Among these innovations is the world of document processing where automation has revolutionized traditional methods. The Rise Of Automated Document Processing You’ve likely come across automated document processing in your industry endeavors.

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How Good Leaders Keep Data in Perspective

Smart Data Collective

Increasingly, our world has become obsessed with data. Companies everywhere want to know who their customers are, how they behave, how they make purchasing decisions, and how they can be persuaded. In some ways, this concept is nothing new. Entrepreneurs, innovators, and creatives have always benefited from doing research and better understanding their business environments.

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The 5 Stages of Your Data Analytics Journey

TDAN

Harnessing the power of data has become critical in today’s digital age when information is abundant and decision-making is critical in many aspects of business. Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise.

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What is Data Redundancy? Benefits, Drawbacks and Tips

Analytics Vidhya

Introduction In an era dominated by data, effective data management and protection have never been more critical. Within data management, one concept that frequently surfaces is “data redundancy.” This article delves into the complexities of data redundancy, shedding light on its advantages, disadvantages and offering invaluable insights for successful integration.

Analytics 293
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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? Our Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. We discuss use cases, technology, and deployment options, top ten evaluation criteria and more.

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Data Cleaning with Pandas

KDnuggets

This step-by-step tutorial is for beginners to guide them through the process of data cleaning and preprocessing using the powerful Pandas library.

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Financial statement analysis: what's changing?

Phocas

Financial Statement analysis is becoming more timely and useful as income and profit and loss statements are created and updated on a data platform.

More Trending

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Unlock the Power of GenAI LLMs Right on Your Local Machine!

Analytics Vidhya

Introduction Since the release of GenAI LLMs, we have started using them in one way or another. The most common way is through websites like the OpenAI website to use ChatGPT or Large Language Models via APIs like OpenAI’s GPT3.5 API, Google’s PaLM API, or through other websites like Hugging Face, Perplexity.ai, which allow us […] The post Unlock the Power of GenAI LLMs Right on Your Local Machine!

Modeling 319
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Generative AI: Meet your partner in customer service

IBM Big Data Hub

Brands that deliver an excellent customer experience (CX) will always be more resilient than those that don’t. Giving our customers personalized support at every stage of their journey is proven to earn their longtime loyalty—and keep them from switching to a competitor. The challenge, however, is that many teams operate in siloes that inhibit them from applying their customer insights in meaningful ways.

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Getting Started with Python Data Structures in 5 Steps

KDnuggets

This tutorial covers Python's foundational data structures - lists, tuples, dictionaries, and sets. Learn their characteristics, use cases, and practical examples, all in 5 steps.

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What AI already does well in supply chain management

CIO Business Intelligence

Supply chains perform a series of actions starting with product design and proceeding to procurement, manufacturing, distribution, delivery, and customer service. “At each of these points lie big opportunities for AI and ML,” says Devavrat Bapat, Head of AI/ML data products at Cisco. That’s because the current generation of AI is already very good at two things needed in supply chain management.

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How Intent Data Helps Marketers Convert A-List Accounts

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.

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How to Clear Gmail Inbox with AI? 

Analytics Vidhya

Are you tired of wading through a sea of emails in your Gmail inbox? Do you find yourself drowning in newsletters, promotions, and spam? Well, you’re not alone. Email overload is a common struggle in our digital age. And thanks to AI, there is now a perfect solution to overflowing mail. Read on to learn […] The post How to Clear Gmail Inbox with AI?

Analytics 305
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Mainframe and the cloud? It’s easy with open source

IBM Big Data Hub

This is part four in a five-part series on mainframe modernization. The secret to mainstreaming the mainframe into today’s modern, cloud-centric IT environments is to make the experience of working with the mainframe like the experience of working off the mainframe—especially the developer experience (DX). Historically, working on the mainframe was an entirely different experience from the distributed world.

Software 119
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Time 100 AI: The Most Influential?

KDnuggets

Time Magazine just released its Time 100 AI list, spotlighting 100 key figures in AI across categories such as leaders and innovators. The list aims to highlight the human effort behind AI advancements. The list serves as a snapshot of how mainstream media views the AI landscape, offering a mix of familiar and new names in the field.

Snapshot 103
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Price shock: IBM to increase cloud costs by up to 26% from 2024

CIO Business Intelligence

IBM is all set to increase its cloud services costs by up to 26% from January 2024. The new price rise will affect infrastructure-as-a-service ( IaaS ) and platform-as-a-service ( PaaS ) offerings, the company said in a GitHub post. International customers will witness a steeper price hike compared to their US peers. IBM PaaS services — slated for a 3% price hike globally — include IBM’s Kubernetes Services, RedHat OpenShift, all security services, and all cloud database offerings including Mes

Software 129
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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.

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Advanced Guide for Natural Language Processing

Analytics Vidhya

Introduction Welcome to the transformative world of Natural Language Processing (NLP). Here, the elegance of human language meets the precision of machine intelligence. The unseen force of NLP powers many of the digital interactions we rely on. Various applications use this Natural Language Processing guide, such as chatbots responding to your questions, search engines tailoring […] The post Advanced Guide for Natural Language Processing appeared first on Analytics Vidhya.

Analytics 310
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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

Generative AI is powering a new world of creative, customized communications, allowing marketing teams to deliver greater personalization at scale and meet today’s high customer expectations. The potential of this powerful new tool spans the entire end-to-end marketing process, from internal communications and productivity to customer-facing channels and product support.

Strategy 107
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We Were Built for This Moment

Dataiku

Today, Dataiku announced several milestones. One was about the scale of our business: passing $230 million in annual recurring revenue (ARR). Another was about the geographic balance of our business: passing $100 million in ARR in both our Americas and EMEA regions. And a third is about preparing for the coming decade: hiring Wall Street and software veteran Krish Venkataraman in the newly created role of President.

Software 103
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6 signs an IT manager is struggling — and how to help

CIO Business Intelligence

IT managers increasingly find themselves oversubscribed, challenged, and in many cases floundering, and it’s little wonder why. Pressured to do more with less, faster, in flatter organizational structures, IT middle managers serve as a company catchall, with too much time spent on lower-value tasks such as administrative work and planning rather than high-value work such as actually managing and executing plans, according to a recent survey from McKinsey.

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Why Modern Data Challenges Require a New Approach to Governance

A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.

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Understanding Algorithmic Bias: Types, Causes and Case Studies

Analytics Vidhya

Introduction Have you ever wondered why your social media feed seems to predict your interests with uncanny accuracy, or why certain individuals face discrimination when interacting with AI systems? The answer often lies in algorithmic bias, a complex and pervasive issue within artificial intelligence. This article will disclose what is algorithmic bias, its various dimensions, […] The post Understanding Algorithmic Bias: Types, Causes and Case Studies appeared first on Analytics Vidhya.

Analytics 300
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Building Microservice for Multi-Chat Backends Using Llama and ChatGPT

KDnuggets

As LLMs continue to evolve, integrating multiple models or switching between them has become increasingly challenging. This article suggests a Microservice approach to separate model integration from business applications and simplify the process.

Modeling 100
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BusinessObjects Enjoying the Summer of Surprise Winners

Paul Blogs on BI

It’s been a summer of exciting and surprising wins in the international sports world. The Women’s World Cup saw some amazing upsets and results and then the World Track and Field Championships in Budapest had many surprise wins. Sha’Carri Richardson’s 100-meter gold medal was all the more fantastic because the pundits did not even expect her to medal in the event – but then experts often get it wrong!

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Estée Lauder applies AI, AR for cosmetics accessibility

CIO Business Intelligence

How can we help visually impaired individuals use our products and feel more self-reliant and confident? That’s the question The Estée Lauder Companies (ELC) set out to answer in 2022 with the help of AI and augmented reality (AR). The result is the Voice-enabled Makeup Assistant (VMA), now fully launched in the UK and US, and soon to debut worldwide.

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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere. Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years.

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Enhance Learning with ChatGPT Plugins for Students and Institutions

Analytics Vidhya

Introduction ChatGPT has rapidly gained prominence as one of the most advanced conversational AI models, captivating users with its ability to generate human-like text across diverse topics. While the free version of ChatGPT has gained popularity, ChatGPT Plugins for students and institutions allow users to customize their experience, browse the web, and access specialized knowledge […] The post Enhance Learning with ChatGPT Plugins for Students and Institutions appeared first on Analytics

Analytics 305
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Introduction to Databases in Data Science

KDnuggets

Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.

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Building AI for business: IBM’s Granite foundation models

IBM Big Data Hub

It’s an exciting time in AI for business. As we apply the technology more widely across areas ranging from customer service to HR to code modernization, artificial intelligence (AI) is helping increasing numbers of us work smarter, not harder. And as we are just at the start of the AI for business revolution, the potential for improving productivity and creativity is vast.

Modeling 104
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Is AI in the enterprise ready for primetime? Not yet.

CIO Business Intelligence

Although bullish on the prospects for AI to automate many work activities, McKinsey acknowledges it’ll take several decades for this to happen at any scale. CIOs and other executive leaders should keep this in mind amid the hype and wild claims made by many vendors and consultants. There are a number of reasons why meaningful AI deployments within the enterprise will take longer than many imagine.

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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data. Whether you need to improve lead response times, boost adoption of core tools, improve lead qualification, or target and automate your GTM motions, you’ll find examples of how revenue teams are solving some of the toughest problems in modern business.

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Harness the Power of LLMs: Zero-shot and Few-shot Prompting

Analytics Vidhya

Introduction Power of LLMs have become the new buzz in the AI community. Early adopters have swarmed to the different generative AI solutions like GPT 3.5, GPT 4, and BARD for different use cases. They have been used for question and answering tasks, creative text writing, and critical analysis. Since these models are trained on […] The post Harness the Power of LLMs: Zero-shot and Few-shot Prompting appeared first on Analytics Vidhya.

Analytics 315
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Building a Formula 1 Streaming Data Pipeline With Kafka and Risingwave

KDnuggets

Build a streaming data pipeline using Formula 1 data, Python, Kafka, RisingWave as the streaming database, and visualize all the real-time data in Grafana.

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Engineering Manager for Reality Labs with @dannyzlo: TDI 18

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. “I think most people are still sleeping on the paradigm shift we’re heading for AR in the next few years.” — Danny Zlobinsky (@dannyzlo) on Threads Today we have @dannyzlo.

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Governance for responsible AI: The easy things and the hard ones

CIO Business Intelligence

By Charna Parkey and Steven Tiell, DataStax. Companies developing and deploying AI solutions need robust governance to ensure they’re used responsibly. But what exactly should they focus on? Based on a recent DataStax panel discussion, “ Enterprise Governance in a Responsible AI World ,” there are a few hard and easy things organizations should pay attention to when designing governance to ensure the responsible use of AI.

Risk 116
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7+ Graphics Libraries to Enhance Your Embedded Analytics

When your customers come to your app, what do they see: clunky, outdated dashboards or a sleek, modern interface? If your embedded analytics are looking stale, leverage these free graphics libraries to take your embedded analytics offerings above and beyond. This e-book details a number of graphics libraries plus a few bonus tools to modernize your embedded dashboards.