Sat.May 13, 2023 - Fri.May 19, 2023

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6 barriers to becoming a data-driven company

CIO Business Intelligence

It’s no surprise that becoming a data-driven company is at the top of the corporate agenda. A recent IDC whitepaper found that data-savvy companies reported a threefold increase in revenue improvement , almost tripling the likelihood of reduced time to market for new products and services, and more than doubling the probability of enhanced customer satisfaction, profits, and operational efficiency.

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Data Speaks for Itself: The Challenge of Data Consistency

TDAN

Data quality management (DQM) has advanced considerably over the years. The full extent of the problem was first recognized during the data warehouse movement in the 1980s.

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Trending Sources

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Data Mining vs Machine Learning: Choosing the Right Approach

Analytics Vidhya

Data mining and machine learning are two closely related yet distinct fields in data analysis. With both techniques extracting valuable insights, it becomes crucial to understand their characteristics, applications, and methodologies. What is data mining vs machine learning? How do they differ in terms of goals and approaches? This article aims to shed light on […] The post Data Mining vs Machine Learning: Choosing the Right Approach appeared first on Analytics Vidhya.

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Large Language Models Take AI World By Storm

David Menninger's Analyst Perspectives

Artificial intelligence (AI) has evolved from a highly specialized niche technology to a worldwide phenomenon. Nearly 9 in 10 organizations use or plan to adopt AI technology. Several factors have contributed to this evolution. First, the amount of data they can collect and store has increased dramatically while the cost of analyzing these large amounts of data has decreased dramatically.

Modeling 147
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The Executive Guide to Generative AI

Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? The business and creative possibilities are practically limitless with generative AI. From productivity gains to finding new routes to revenue generation, generative AI is going to radically transform how we work.

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Pandas AI: The Generative AI Python Library

KDnuggets

The road to simpler Data Analysis for data scientists and analysts, powered by OpenAI.

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SAP takes steps toward ‘green ledger’ for carbon accounting

CIO Business Intelligence

SAP wants to give new meaning to the resources in enterprise resource planning, going beyond the boundaries of the enterprise and accounting for its impact on the whole planet. The software provider plans to do that by enhancing existing tools for estimating greenhouse gas emissions due to an enterprise’s activities, and adding capabilities for exchanging that data with partners, bringing it all together in a “green ledger” that will record the climate cost of doing business alongside the financ

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Make SAP ERP deployments future-ready with IBM Cloud

IBM Big Data Hub

As we navigate an unstable economy, organizations across industries want to be “future-ready,” and that requires systems and processes that can continuously evolve in response to the marketplace demands. For customers who run their operations on SAP, this means modernizing to a cloud ERP platform that supports greater flexibility and agility.

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Peloton embraces Amazon Redshift to unlock the power of data during changing times

AWS Big Data

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. New York-based Peloton , which aims to help people around the world reach their fitness goals through its connected fitness equipment and subscription-based classes, saw booming growth in the early stage of the COVID-19 pandemic.

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Generative AI & data: Potential in cybersecurity if the risks can be curtailed

CIO Business Intelligence

Artificial intelligence (AI) in 2023 feels a bit like déjà vu to me. Back in 2001, as I was just entering the venture industry, I remember the typical VC reaction to a start-up pitch was, “Can’t Microsoft replicate your product with 20 people and a few months of effort, given the resources they have?” Today, any time a new company is pitching its product that uses AI to do ‘X,’ the VC industry asks, “Can’t ChatGPT do that?

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One-Stop Framework Building Applications with LLMs

Analytics Vidhya

Introduction Large Language Models (LLMs) have been gaining popularity for the past few years. And with the entry of Open AIs ChatGPT, there was a massive popularity gain in the Industry towards these LLMs. These Large Language Models are being worked upon to create different applications from Question Answering Chatbots to Text Generators to Conversational […] The post One-Stop Framework Building Applications with LLMs appeared first on Analytics Vidhya.

Modeling 321
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From Hadoop to Data Lakehouse

Getting off of Hadoop is a critical objective for organizations, with data executives well aware of the significant benefits of doing so. The problem is, there are few options available that minimize the risk to the business during the migration process and that’s one of the reasons why many organizations are still using Hadoop today. By migrating to the data lakehouse, you can get immediate benefits from day one using Dremio’s phased migration approach.

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Breaking Down AutoGPT

KDnuggets

AutoGPT has taken the world by storm and has even surpassed ChatGPT itself. So, get ready to dive into the exciting world of Auto-GPT.

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Stream data with Amazon MSK Connect using an open-source JDBC connector

AWS Big Data

Customers are adopting Amazon Managed Service for Apache Kafka (Amazon MSK) as a fast and reliable streaming platform to build their enterprise data hub. In addition to streaming capabilities, setting up Amazon MSK enables organizations to use a pub/sub model for data distribution with loosely coupled and independent components. To publish and distribute the data between Apache Kafka clusters and other external systems including search indexes, databases, and file systems, you’re required to set

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14 essential book recommendations by and for IT leaders

CIO Business Intelligence

Looking for your next read? Why not pick up a book that will inspire you to be a more effective leader, help you spot challenges and pitfalls in your IT strategies and processes, or prepare for the future of information technology? I asked CIOs and other high-level IT leaders to recommend books that have impacted their career, whether that has meant inspiring them to be better leaders or helping them navigate a particular challenge.

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How to Evaluate a Large Language Model (LLM)?

Analytics Vidhya

Introduction With the release of Chatgpt and other Large Language Models (LLMs), there has been a significant increase in the number of models available. New LLMs are being released every other day. Despite this, there is still no fixed or standardized way to evaluate the quality of these Large Language models. This article will review […] The post How to Evaluate a Large Language Model (LLM)?

Modeling 298
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ERM Program Fundamentals for Success in the Banking Industry

Speaker: William Hord, Senior VP of Risk & Professional Services

Enterprise Risk Management (ERM) is critical for industry growth in today’s fast-paced and ever-changing risk landscape. When building your ERM program foundation, you need to answer questions like: Do we have robust board and management support? Do we understand and articulate our bank’s risk appetite and how that impacts our business units? How are we measuring and rating our risk impact, likelihood, and controls to mitigate our risk?

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How to Efficiently Scale Data Science Projects with Cloud Computing

KDnuggets

This article discusses the key components that contribute to the successful scaling of data science projects. It covers how to collect data using APIs, how to store data in the cloud, how to clean and process data, how to visualize data, and how to harness the power of data visualization through interactive dashboards.

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Simplify AWS Glue job orchestration and monitoring with Amazon MWAA

AWS Big Data

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more. Analytics professionals are tasked with deriving value from data stored in these distributed systems to create better, secure, and cost-optimized experiences for their customer

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5 IT management practices certain to kill IT productivity

CIO Business Intelligence

Successful CIOs, like all highly placed executives, must be adept at running an organization that’s good at getting work out the door. Unfortunately, many of the most popular management techniques for fixing poor organizational performance don’t work. Or worse. If you want better guidance, start with Peter Drucker’s observation that, “Most of what we call management consists of making it difficult for people to get their work done.

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Zoom Integrates AI for Seamless Video Conferencing

Analytics Vidhya

Zoom, the popular video conferencing platform, has announced that it will integrate AI into its services to provide even more seamless and efficient video meetings. This integration comes as part of a larger trend of tech companies utilizing AI to improve customer experience. Here are the details on Zoom’s new integration with zapier Zoom Utilizes […] The post Zoom Integrates AI for Seamless Video Conferencing appeared first on Analytics Vidhya.

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The B2B Sales Leader's Guide for Any Economic Environment

When economic headwinds pick up, sales leaders are the first to sound the alarm — and chart a new course. Longer sales cycles, larger buying committees, increased price pressure, and smaller teams can quickly combine to reduce your margin for error and increase the urgency to find a solution. To thrive in a challenging environment, sales teams need a rock-solid grasp of the fundamentals and the biggest force-multipliers they can get their hands on.

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AI In Marketing: Is It Worth the Hype?

Smart Data Collective

AI has been the latest controversy, as it may seem to eliminate the need for human working positions in most professions. Artists, especially, were vocal about their concerns about the technology, considering the system’s merging way of creating art. ChatGPT doesn’t seem to think about the importance of artists after it tells a writer they don’t exist but after citing their previous work.

Marketing 101
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IBM named a Leader in the latest Forrester Wave™ report for AI Decisioning

IBM Big Data Hub

Forrester Research just released “ The Forrester Wave™: AI Decisioning Platforms, Q2 2023: The 13 Providers That Matter Most And How They Stack Up ” by Mike Gualtieri with Aaron Katz, Catherine Marcin, and Jen Barton, and IBM is proud to be recognized as a Leader. This report outlines the combination of traditional decision automation tools with machine learning models and other technologies.

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3 ways to jump-start your journey to SD-WAN, SSE, and SASE

CIO Business Intelligence

For decades, organizations have relied on traditional architecture to secure their network based on firewalls and other perimeter defenses. As organizations massively moved their workloads to the cloud, users are now accessing sensitive data in the cloud through unsecured links, outside of the corporate network perimeter and from any device. This trend has accelerated as hybrid working has become the new normal.

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How To Use ChatGPT API In Python

Analytics Vidhya

Introduction Do you want to make your chatbots more conversational and intelligent? Then, look no further than ChatGPT by OpenAI. ChatGPT is a state-of-the-art conversational AI that can understand natural language queries and respond in a human-like manner. This article will guide you to access this powerful tool using the ChatGPT API using openAI library. […] The post How To Use ChatGPT API In Python appeared first on Analytics Vidhya.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. Enterprises need a platform that can make broader AI teams more productive, implementing more complex use cases and harnessing the fast pace of new AI technologies.

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5 Reasons Why You Should Get Certified

KDnuggets

In today's highly competitive job market, practitioners need every advantage they can get to stand out from the crowd and accelerate in their roles as a high-performing employee. With that in mind, here are 5 reasons why you should earn a SAS certification, and stand out to employers.

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Enterprises Are Leveraging the Benefits of AI-Driven ERPs

Smart Data Collective

AI technology has become crucial for modern businesses trying to maintain a competitive edge in the 21st Century. Around 35% of businesses are already using AI and another 42% plan to use it in the future. The rapid proliferation of ChatGPT has gained a lot of attention over the last few months, but it is not the only form of AI software impacting business.

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Examining the fallout of APAC tech skills shortages

CIO Business Intelligence

Recent research from IDC report Enterprise Automation to Mitigate the Digital Skills Shortage found that up to 80% of organizations in the APAC region, excluding Japan, find it difficult or extremely difficult to fill vacancies in IT roles. Some of the hardest roles to fill include security, and development and data professionals. The report also shows that when organizations are able to fill these roles, it’s taking them three to four months longer than it did a year ago.

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Top 5 AI Tools for Google Sheets

Analytics Vidhya

Introduction Spreadsheets are a fundamental tool used in businesses worldwide. They help with organizing data, tracking financials, and much more. However, handling large amounts of data can be time-consuming and error-prone. Fortunately, artificial intelligence (AI) has revolutionized how we use spreadsheets. There are now many AI tools available that can automate manual tasks and streamline […] The post Top 5 AI Tools for Google Sheets appeared first on Analytics Vidhya.

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The Definitive Guide to Dashboard Design

Dashboard design can mean the difference between users excitedly embracing your product or ignoring it altogether. Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand. That’s one of the many reasons we wrote The Definitive Guide to Dashboard Design—to help you avoid common pitfalls, including… Cramming too much onto one screen and expecting the u

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Current State Analysis of Your Data – Part 4 – Data Outcomes

TDAN

This article is the fourth installment in a series taking a deep dive on how to do a Current State Analysis on your data. This article focuses on Data Outcomes: what they are, why they are important, and what questions to ask to determine the current state.

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What Is The Advantage Of Using SDK in AI Technology?

Smart Data Collective

AI technology has taken off over the past year. While many discussions center around ChatGPT , some of the most critical developments in AI can be seen with mobile devices. Android, in particular, is one of the most popular smartphones that 2.5 billion people worldwide use. David Curry of Business of Apps points out that the market for Android apps is massive since around 75% of all smartphone users have Androids.

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SAP to add generative AI, industry smarts to CX tools

CIO Business Intelligence

Every software developer is looking at how to incorporate generative AI in its products, even SAP. The ERP vendor, which turned 50 last year , is developing a companion app for its software, to be called SAP Digital Assistant, which will use generative AI to help SAP users provide a better experience to their customers. SAP is also looking to improve its customer experience tools in other ways, providing industry-specific accelerators to help some enterprises roll the software out faster, and he

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How Does ChatGPT Work: From Pretraining to RLHF

Analytics Vidhya

Introduction Welcome to the future of AI: Generative AI! Have you ever wondered how machines learn to understand human language and respond accordingly? Let’s take a look at ChatGPT – the revolutionary language model developed by OpenAI. With its groundbreaking GPT-3.5 architecture, ChatGPT has taken the world by storm, transforming how we communicate with machines […] The post How Does ChatGPT Work: From Pretraining to RLHF appeared first on Analytics Vidhya.

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The Power of Storytelling in Risk Management

Speaker: Dr. Karen Hardy, CEO and Chief Risk Officer of Strategic Leadership Advisors LLC

Communication is a core component of a resilient organization's risk management framework. However, risk communication involves more than just reporting information and populating dashboards, and we may be limiting our skillset. Storytelling is the ability to express ideas and convey messages to others, including stakeholders. When done effectively, it can help interpret complex risk environments for leaders and inform their decision-making.