Sat.Apr 08, 2023 - Fri.Apr 14, 2023

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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms In the webinar “Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms,” James Royster, Vice President of Commercial Operations, Insights, and Analytics at Karuna Therapeutics, shared his insights on leading efficient and effective data analytics teams.

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How to Build a Resilient IT Team During an Economic Downturn

Smart Data Collective

Resilient IT teams are better capable of incorporating changes, they’re more flexible in the face of adversity, and they can achieve more and less time. Building a resilient IT team during an economic downturn seems like an impossible challenge, especially if you’re facing budget limitations and staffing shortages. So, how can you approach it?

IT 103
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How to Use Large Language Models in the Enterprise

Dataiku

Large language models (LLMs) are the technology behind popular products including OpenAI’s ChatGPT, Microsoft’s Bing, and Google’s Bard. Yet reports of employees leaking sensitive company data to ChatGPT raises major questions around properly leveraging LLMs in an enterprise setting.

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Sigma Computing Makes Cloud Analytics More Accessible

David Menninger's Analyst Perspectives

Organizations are becoming increasingly aware of the potential value that can be gained by processing big data. As data sources grow, it becomes important to have tools and methods to effectively process, analyze and visualize this information from disparate systems and warehouses.

Analytics 147
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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FreedomGPT: Personal, Bold and Uncensored Chatbot Running Locally on Your PC

Analytics Vidhya

Introducing FreedomGPT: The Unfiltered AI Powerhouse Freedom GPT is a groundbreaking open-source AI technology developed by Age of AI, an Austin-based AI venture capital firm. This state-of-the-art chatbot is programmed to recognize and prioritize ethical considerations without any censorship filter, unlike ChatGPT, which comes with censorship compliance and certain safety rules that prevent it from […] The post FreedomGPT: Personal, Bold and Uncensored Chatbot Running Locally on Your PC a

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Getting Started With Incremental Sales – Best Practices & Examples

datapine

Table of Contents 1) What Are Incremental Sales? 2) Why Do You Need Incremental Sales 3) Incremental Sales Best Practices 4) KPIs To Help Boost Incremental Sales 5) Incremental Sales Challenges To ensure a sustainable level of commercial success in our cutthroat digital age, offering value, driving consumer loyalty, and consistently surpassing your targets are of the utmost importance.

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More Trending

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Automated Machine Learning with Python: A Case Study

KDnuggets

How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.

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Microsoft Releases VisualGPT: Combines Language and Visuals

Analytics Vidhya

As artificial intelligence (AI) continues to evolve, so do the capabilities of Large Language Models (LLMs). These models use machine learning algorithms to understand and generate human language, making it easier for humans to interact with machines. Microsoft Research Asia has taken this technology a step further by introducing VisualGPT. This AI model incorporates Visual […] The post Microsoft Releases VisualGPT: Combines Language and Visuals appeared first on Analytics Vidhya.

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The Data Visualization Design Process: A Step-by-Step Guide for Beginners

Depict Data Studio

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. Does data visualization leave you feeling like the numbers are about to topple over on you?? If so, this step-by-step data visualization guide is for you!

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3 ‘phase 0’ digital transformation errors no IT leader should make

CIO Business Intelligence

Digital transformation has embedded IT at the center of business strategy, making all organizations technology enterprises today, irrespective of their industry. Business processes, culture, workflow, and systems are all necessarily impacted by digital transformation efforts, which by definition overhaul how business gets done, expediting efficiencies, modernizing the enterprise, and — when executed well — enhancing profitability.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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AutoGPT: Everything You Need To Know

KDnuggets

Just when we got our heads around ChatGPT, another one came along. AutoGPT is an experimental open-source pushing the capabilities of the GPT-4 language model.

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How to Use ChatGPT as a Data Scientist?

Analytics Vidhya

Introduction Are you a data scientist looking for an exciting and informative read? Look no further, because I’ve got a treat for you! My latest blog post is jam-packed with fun and innovative experiments that I conducted with ChatGPT over the weekend. In this experiment, I put ChatGPT to the test and challenged it to […] The post How to Use ChatGPT as a Data Scientist?

Testing 356
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Google Report Shows Android Users Need VPNs for Data Privacy

Smart Data Collective

Consumers are becoming more concerned about data privacy than ever. Last September, the Government Accountability Office highlighted some of the issues about data privacy. If you have an Android device, you will need to be diligent about protecting against data privacy risks. Some of the risks and potential safeguards to consider are highlighted below.

Reporting 101
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Accelerating innovation with cloud-native apps on Microsoft Cloud

CIO Business Intelligence

The financial services sector is undergoing rapid change as fintechs develop convenient, consumer-focused services that were once the province of traditional banks. We spoke with Siddhartha Gupta, Global Head of Application Modernization on Azure at Tata Consultancy Services (TCS) , about this trend and what financial services organizations need to do to improve their capacity for agility and innovation.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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DataLang: A New Programming Language for Data Scientists… Created by ChatGPT?

KDnuggets

I recently tasked ChatGPT-4's to come up with a new programming language appropriate for data scientists in their day to day tasks. Let's look at the results, and the process of getting there.

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Food Delivery Time Prediction with LSTM Neural Network

Analytics Vidhya

Introduction More businesses are moving online these days, and consumers are ordering online instead of traveling to the store to buy. Zomato and Swiggy are popular online platforms for ordering food products. Other examples are Uber Eats, Food Panda, and Deliveroo, which also have similar services. They provide food delivery options. If the order is […] The post Food Delivery Time Prediction with LSTM Neural Network appeared first on Analytics Vidhya.

Analytics 334
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Using Predictive Analytics to Get the Best Deals on Amazon

Smart Data Collective

Predictive analytics technology has had a huge affect on our lives, even though we don’t usually think much about it. Therefore, it should not be a surprise that the market for predictive analytics tools will be worth an estimated $44 billion by 2030. There are many ways that predictive analytics is changing the way we live. One of the biggest changes is that more people are using this technology to forecast prices.

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plusserver: Offering a sovereign GDPR-compliant cloud “made in Germany”

CIO Business Intelligence

Alexander Wallner, CEO of plusserver, believes the importance of the sovereign cloud services and solutions needed to ensure that data is protected, safe, and compliant cannot be overemphasized. He is also quick to point out that plusserver takes responsibility for the cloud-based operations of its growing customer base, which includes enterprises across industries and throughout Germany’s public and private sectors.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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10 Websites to Get Amazing Data for Data Science Projects

KDnuggets

Ultimately, these websites should help you find data you care about, do a cool data science project, and use that to get a job.

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GPT-4 Capable of Doing Autonomous Scientific Research

Analytics Vidhya

Artificial Intelligence (AI) has revolutionized several fields, from healthcare and finance to gaming and transportation. However, the use of AI in scientific research was a topic of debate among scientists. Recently, researchers have shown that OpenAI’s generative AI model, GPT-4, has the capability to do scientific research all on its own! The model can design, […] The post GPT-4 Capable of Doing Autonomous Scientific Research appeared first on Analytics Vidhya.

Finance 318
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It’s the Amazon QuickSight Community’s 1st birthday!

AWS Big Data

Happy birthday Amazon QuickSight Community! We are celebrating 1 year since the launch of our new Community. The Amazon QuickSight Community website is a one-stop-shop where business intelligence (BI) authors and developers from across the globe can ask and answer questions, stay up to date, network, and learn together about Amazon QuickSight. In this post, we celebrate the rapid growth of our first year of the QuickSight Community, discuss new Community features, and share voices from our Commu

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6 best practices to develop a corporate use policy for generative AI

CIO Business Intelligence

While there’s an open letter calling for all AI labs to immediately pause training of AI systems more powerful than GPT-4 for six months, the reality is the genie is already out of the bottle. Here are ways to get a better grasp of what these systems are capable of, and utilize them to construct an effective corporate use policy for your organization.

Risk 122
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Unlock the Wealth of Knowledge with ChatPDF

KDnuggets

ChatPDF helps you to improve the learning experience, process the documents, and explore new insights and answers from historical records.

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Revolutionizing Taxation: How India Uses AI & ML to Improve the Tax Process 

Analytics Vidhya

Indian Government Set to Revolutionize Taxation Using Data Analytics The evolution of technology has proven to be beneficial for the finance industry. Predicting the future using Artificial Intelligence (AI), data analytics, and machine learning (ML). The Government of India is thus utilizing this technology in a complex process like taxation to make tax filing more […] The post Revolutionizing Taxation: How India Uses AI & ML to Improve the Tax Process appeared first on Analytics Vi

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Global executives and AI strategy for HR: How to tackle bias in algorithmic AI

IBM Big Data Hub

The move towards monitoring HR tools and applications for bias is gaining traction worldwide, driven by various global and domestic data privacy laws and the US Equal Employment Opportunity Commission (EEOC). In line with this trend, the New York City Council has enacted new regulations requiring organizations to conduct yearly bias audits on automated employment decision-making tools used by HR departments.

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Buying advice for CIOs as low-code/no-code spending rises

CIO Business Intelligence

Faced with a long-running shortage of experienced professional developers, enterprise IT leaders have been exploring fresh ways of unlocking software development talent by training up non-IT staff and deploying tools that enable even business users to build or customize applications to suit their needs. A broad spectrum of tools has arisen to facilitate software development in the enterprise, from no-code platforms like Bubble and low-code drag-and-drop tools , both stand-alone and integrated in

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Baize: An Open-Source Chat Model (But Different?)

KDnuggets

So what's new in the LLM space? Meet Baize, an open-source chat model that leverages the conversational capabilities of ChatGPT. Learn how Baize works, its advantages, limitations, and more.

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OpenAI Co-Founder & Chief Data Scientist On the Potential of AGI

Analytics Vidhya

Artificial General Intelligence: Unlocking Unprecedented Wisdom and Insight In an eye-opening interview, Ilya Sutskever, Co-founder and Chief Data Scientist at OpenAI, unveiled the untapped potential of Artificial General Intelligence (AGI). Sutskever touched upon key aspects of AGI, including token prediction, reinforcement learning, multistep reasoning, and the pursuit of meaning.

Analytics 327
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How the right data and AI foundation can empower a successful ESG strategy

IBM Big Data Hub

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions. A well-designed data foundation can also be a game-changer when it comes to managing ESG (environmental, social, and governance) commitments.

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Why IT leaders are putting more business spin on security spend

CIO Business Intelligence

Gartner projects that spending on information security and risk management products and services will grow 11.3% to reach more than $188.3 billion this year. But despite those expenditures, there have already been at least 13 major data breaches, including at Apple, Meta and Twitter. To better focus security spend, some chief information security officers (CISOs) are shifting their risk assessments from IT systems to the data, applications, and processes that keep the business going.

IT 111
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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.