November, 2023

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Breaking down data silos for digital success

CIO Business Intelligence

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. In fact, as companies undertake digital transformations , usually the data transformation comes first, and doing so often begins with breaking down data — and political — silos in various corners of the enterprise.

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Strawberry Fields Forever

O'Reilly on Data

Tim O’Reilly forwarded an excellent article about the OpenAI soap opera to me: Matt Levine’s “ Money Stuff: Who Controls Open AI.” I’ll skip most of it, but something caught my eye. Towards the end, Levine writes about Elon Musk’s version of Nick Bostrom’s AI that decides to turn the world to paper-clips : [Elon] Musk gave an example of an artificial intelligence that’s given the task of picking strawberries.

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AI assistants optimize automation with API-based agents

IBM Big Data Hub

Generative AI-powered assistants are transforming businesses through intelligent conversational interfaces. Capable of understanding and generating human-like responses and content, these assistants are revolutionizing the way humans and machines collaborate. Large Language Models (LLMs) are at the heart of this new disruption. LLMs are trained on vast amounts of data and can be used across endless applications.

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Generative AI in the Enterprise

O'Reilly on Data

Generative AI has been the biggest technology story of 2023. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO Business Intelligence

In today’s fast-paced business world, companies are striving to harness the power of digital technologies to reinvent their operations, enhance customer experiences, drive innovation, and thereby create value for stakeholders. But the hard truth is that many digital initiatives fail to deliver results. Transformation efforts can be derailed for any number of reasons, but there are several common themes as to why digital initiatives fall short — and most revolve around leadership.

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Pika 1.0: A New AI Model for Video Creation

Analytics Vidhya

In a world captivated by generative AI, Pika, a startup specializing in AI-powered video creation, has secured a staggering $55 million in a recent funding round led by Lightspeed Venture Partners. This influx of capital aligns with the launch of Pika 1.0, a groundbreaking suite of videography tools designed to transform the landscape of video […] The post Pika 1.0: A New AI Model for Video Creation appeared first on Analytics Vidhya.

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5 Free Courses to Master Machine Learning

KDnuggets

Are you excited to learn about and build machine learning models? Start learning today with these free machine learning courses.

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Alteryx Uses Generative AI to Enhance Analytic Operations

David Menninger's Analyst Perspectives

Alteryx was founded in 1997 and initially focused on analyzing demographic and geographically organized data. In 2006, the company released its eponymous product that established its direction for what the product is today. In 2017, it went public in an IPO on the NYSE. At the time of the IPO, Alteryx was focusing much of its marketing efforts on the data preparation market, particularly to support Tableau.

Analytics 147
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Creativity Isn’t Just Remixing

O'Reilly on Data

This is not the first time that I’ve written about AI creativity, and I doubt that it will be the last. It’s a question that comes up repeatedly, and that is very much in the current mind, with events like the strikes by the Writers’ Guild of America and the Screen Actors Guild , in which the use of AI to create scripts and to generate images of actors was an issue.

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Navigating the Chaos of Unruly Data: Solutions for Data Teams

DataKitchen

The Perilous State of Today’s Data Environments Data teams often navigate a labyrinth of chaos within their databases. The core issue plaguing many organizations is the presence of out-of-control databases or data lakes characterized by: Unrestrained Data Changes: Numerous users and tools incessantly alter data, leading to a tumultuous environment. Extrinsic Control Deficit: Many of these changes stem from tools and processes beyond the immediate control of the data team.

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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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This move by OpenAI will pave the way for AGI

Analytics Vidhya

In a groundbreaking move towards advancing artificial intelligence (AI) capabilities, OpenAI has unveiled its Data Partnerships initiative. This program invites collaboration with organizations worldwide to collectively build comprehensive public and private datasets aimed at enhancing AI model training and paving way toward AGI. The Need for Diverse Training Datasets The foundation of modern AI lies […] The post This move by OpenAI will pave the way for AGI appeared first on Analytics Vid

Modeling 342
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A Complete Guide To The Power Of Line Graphs With Examples On When To Use Them

datapine

Table of Contents 1) What Is A Line Graph? 2) Line Graphs Benefits & Limitations 3) When To Use A Line Graph 4) Types Of Line Charts 5) Tips To Make A Line Graph 6) Line Chart Examples Graphs and charts have been a part of our lives for many years now. Every day, we encounter graphical representations of data in our jobs and also in the news or advertisements.

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Create Stunning Data Viz in Seconds with ChatGPT

KDnuggets

Data scientists love it! See how ChatGPT creates jaw-dropping data viz with just a few words - it's almost unfair how easy it is.

IT 158
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10 cloud strategy questions every IT leader must answer

CIO Business Intelligence

It’s no longer a question of whether organizations are moving to the cloud but rather how well it’s going. Cloud isn’t that shiny new object in the distance, full of possibility. It’s come down to earth — sometimes with an unexpected thud onto the wrong side of a company’s balance sheet. “There are so many people who bought into cloud without thinking through the real reasons why they were doing this and what they wanted to accomplish,” says David Mitchell Smith, distinguished vice president and

Strategy 145
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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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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python.

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ON DEMAND WEBINAR: Data Observability Demo Day

DataKitchen

This webinar discusses how to make embarrassing data errors a thing of the past. We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors.

Testing 130
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Monitoring Data Quality for Your Big Data Pipelines Made Easy

Analytics Vidhya

Introduction Imagine yourself in command of a sizable cargo ship sailing through hazardous waters. It is your responsibility to deliver precious cargo to its destination safely. Determine success by the precision of your charts, the equipment’s dependability, and your crew’s expertise. A single mistake, glitch, or slip-up could endanger the trip. In the data-driven world […] The post Monitoring Data Quality for Your Big Data Pipelines Made Easy appeared first on Analytics Vidhya.

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AI Advances Are Reshaping Video Streaming Protocols

Smart Data Collective

AI technology has been a gamechanger for the video streaming industry. Some of the largest video streaming services, such as Netflix and Hulu use AI to provide the highest quality video streaming benefits to their customers. Of course, there are still some limitations with using AI to create higher quality video streaming experiences. Last month, the Chief Content Officer for Netflix stated that AI is unable to do an adequate job recommending content to customers.

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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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7 Machine Learning Algorithms You Can’t Miss

KDnuggets

This list of machine learning algorithms is a good place to start your journey as a data scientist. You should be able to identify the most common models and use them in the right applications.

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Low-code: An Accelerator for Digital Transformation

CIO Business Intelligence

Digital transformation is expected to be the top strategic priority for businesses of all sizes and industries, yet organisations find the transformation journey challenging due to digital skill gap, tight budget, or technology resource shortages. Amidst these challenges, organisations turn to low-code to remain competitive and agile. Taking the programmer out of software development, low-code provides tools that enable people with minimal training and coding skills to create and adapt applicati

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Enhance query performance using AWS Glue Data Catalog column-level statistics

AWS Big Data

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings. Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple depart

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Generative AI & Dirty Data

Timo Elliott

Data is like children, it’s constantly on the move, and loves to get dirty — but holds out the promise of huge new value in the organization, thanks to Generative AI. I just listened to industry veteran analysts Jon Reed and Josh Greenbaum discuss the recent ASUG Tech Connect Event in Orlando. I strongly urge you to take a listen to the whole thing , but one thing jumped out: that bad data is one of the biggest problems organizations face when trying to take advantage of Generative A

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Introducing Amazon Q: Introducing the Chatbot for Business Brilliance!

Analytics Vidhya

In today’s fast-paced business world, effective communication is key to success. Now, Amazon leaps forward with Amazon Q, an AI chatbot designed to streamline business communication, letting companies interact, and take action with data. In this article, we explore Amazon Q’s features, benefits, and impact on business communication. The Power of Amazon Q Amazon Q […] The post Introducing Amazon Q: Introducing the Chatbot for Business Brilliance!

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Benefits of Data Management Regulations for Consumers & Businesses

Smart Data Collective

Big data has led to a number of promising changes for consumers and businesses all over the world. It has led to the growth of nuanced search engines, website personalization features and many other promising benefits. This is one of the reasons that the market for big data is currently worth over $271 billion.

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Navigating Data Science Job Titles: Data Analyst vs. Data Scientist vs. Data Engineer

KDnuggets

No, they’re not the same jobs! Learn what responsibilities, skills, and tools used make them different. Then, choose the right career path for you.

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Your biggest barriers to digital transformation aren’t technical…they’re cultural

CIO Business Intelligence

As an infrastructure and security practitioner with nearly 30 years of experience, I’ve witnessed periods of rapid change in the technology landscape. However, I have seen a lot of things stay practically the same. Historically, our jobs as infrastructure and security professionals have involved installing the “plumbing” that ensures organizations remain connected through traditional networking and security practices.

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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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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools. This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and ope

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Why serverless technology is the next big movement

IBM Big Data Hub

Over the past decade, we’ve seen serverless computing take the cloud computing world by storm. Serverless is a cloud computing application development and execution model that enables developers to build and run application code without provisioning or managing servers or backend infrastructure. When developers first started using serverless technology, they were mostly only using it for Function-as-a-Service, or FaaS.

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Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting

Analytics Vidhya

Introduction Imagine loving a podcast and wishing to remember the best bits, but it’s all sound, no text. What do you do? That’s where cool tools like LLMs and Audio-to-Text translators step in. They magically turn spoken words into written notes, letting you easily pick out the gems and create handy bullet points. So, your […] The post Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting appeared first on Analytics Vidhya.

Analytics 337
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The Importance of Analytics in Digital Marketing

Smart Data Collective

Marketing analytics has become a dealmaker in the business world. Companies are projected to spend over $10 billion on marketing analytics technology in 2028. The digital marketing sector is among those most influenced by the benefits of analytics technology. Why Are More Companies Investing in Analytics to Bolster their Digital Marketing Strategies?

Marketing 119
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.