October, 2024

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Rift Between Junior and Senior Developers

O'Reilly on Data

I’m worried about AI. I’m not worried about it taking my job. I believe AI is a genuine productivity tool. By which I mean it can make developers produce more. The question is whether those developers are producing something good or not. The difference between an experienced developer and a junior is that an experienced developer knows: There’s more than one good solution to every problem.

Software 268
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As the WordPress saga continues, CIOs need to figure out what it might mean for all open source

CIO Business Intelligence

While lawyers argue in the WP Engine versus Automattic litigation whether the hyperbole should be believed, the continuing battle of words, almost all nasty ones, is starting to raise doubts how much an enterprise should rely on open source. And even if open source can be avoided at all in late 2024. The latest legal documents came from Automattic, which argued that its people did nothing wrong and that the blame lies solely with WP Engine.

IT 144
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10 GitHub Repositories for Advanced Machine Learning Projects

KDnuggets

Where can you find projects dealing with advanced ML topics? GitHub is a perfect source with its many repositories. I’ve selected ten to talk about in this article.

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Migrate from Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio

AWS Big Data

Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. AWS has made the decision to discontinue Kinesis Data Analytics for SQL, effective January 27, 2026. In this post, we explain why we plan to end support for Kinesis Data Analytics for SQL, alternative AWS offerings, and how to migrate your SQL queries and workloads.

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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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Celebrating Data & AI Innovation: Dataiku Frontrunner Awards 2024

Dataiku

As data, analytics, and AI continue to push the boundaries of what’s possible, 2024 has brought forward a new wave of groundbreaking use cases and innovative leaders. The Dataiku Frontrunner Awards honor these trailblazers — organizations and individuals who have harnessed Dataiku, the Universal AI Platform, to drive transformation across industries.

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Microsoft Fabric Project Advice: Getting into the Thick of It

Paul Turley

Advice and lessons learned from working with consulting clients for nearly one year since Fabric was released. How to approach architecting solutions, choosing from among Fabric assets and tools, and getting your organization ready for Fabric adoption, developing, managing and deploying successful Fabric solutions.

IT 102

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Why CIOs need a two-tier approach to gen AI

CIO Business Intelligence

CIOs failing to gain organizational traction with generative AI might want to rethink how they are introducing the technology — and how they are honing their AI strategies to suit. When IT leaders consider generative AI, they should create separate strategies when rolling out productivity-enhancing AI tools than when deploying business-case-driven AI solutions, according to new research from the Massachusetts Institute of Technology.

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7 Computer Vision Projects for All Levels

KDnuggets

Each project, from beginner tasks like Image Classification to advanced ones like Anomaly Detection, includes a link to the dataset and source code for easy access and implementation.

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Amazon EMR on EC2 cost optimization: How a global financial services provider reduced costs by 30%

AWS Big Data

In this post, we highlight key lessons learned while helping a global financial services provider migrate their Apache Hadoop clusters to AWS and best practices that helped reduce their Amazon EMR , Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Simple Storage Service (Amazon S3) costs by over 30% per month. We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams.

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7 signs it’s time to modernize your IT systems

CIO Business Intelligence

Technology continues to advance at a furious pace. That’s great, because a strong IT environment is necessary to take advantage of the latest innovations and business opportunities. The bad news, however, is that IT system modernization requires significant financial and time investments. When addressed properly , application and platform modernization drives immense value and positions organizations ahead of their competition, says Anindeep Kar, a consultant with technology research and advisor

IT 139
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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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Is now the right time to invest in implementing agentic AI?

CIO Business Intelligence

Software vendors’ pitches are evolving, with agentic AI beginning to supplant generative AI in their marketing messages. Rather than just generating code or content for human review agentic AI will, they say, follow instructions, make decisions, and take actions much as a human worker would, without human intervention. It’s more than just a smarter RPA Agentic AI isn’t just a better version of robotic process automation (RPA) : It promises to take enterprises places RPA never could.

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How Anthropic’s new ‘computer use’ ability could further AI automation

CIO Business Intelligence

Anthropic’s Claude 3.5 Sonnet large language model has gained a new ability: operating a computer. The new ability, which the company is calling “computer use,” is currently in beta test. It enables developers to instruct Claude 3.5 Sonnet, through the Anthropic API , to read and interpret what’s on the display, type text, move the cursor, click buttons, and switch between windows or applications — much as today’s robotic process automation (RPA) tools can be instructed — much more laboriously

Testing 141
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CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

CIOs are under increasing pressure to deliver meaningful returns from generative AI initiatives, yet spiraling costs and complex governance challenges are undermining their efforts, according to Gartner. Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said.

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CIOs under pressure to deliver AI outcomes faster

CIO Business Intelligence

CIOs are under increasing pressure to generate business value from generative AI, but Salesforce CIO Juan Perez is among those IT leaders who believe such impatience from the C-suite could doom many projects. “The explosion of AI has really put CIOs in the spotlight and placed the CIOs in the hot seat like never before,” says Perez, fresh off two industry events in which many of his CIO colleagues say they feel they are between a rock and a hard place.

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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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IT pros: One-third of AI projects just for show

CIO Business Intelligence

As organizations rush to spin up AI projects, many IT professionals aren’t sold on the value of these early efforts. A substantial 36% of IT professionals surveyed by Dice.com believe that the primary purpose of many AI projects they’ve worked on is to show investors, board members, or outside stakeholders that the company is doing something with AI.

IT 138
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AI makes edge computing more relevant to CIOs

CIO Business Intelligence

Analysts predict the incoming phase of enterprise AI will herald agentic systems that require minimal human intervention, with 75% of CIOs increasing their AI budgets during this year alone, according to a recent report from Gartner. As gen AI becomes embedded into more devices, endowing it with autonomous decision-making will depend on real-time data and avoiding excessive cloud costs.

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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. Unprecedented growth in AWS during this period also compelled CIOs to learn more about how startups were innovating and operating efficiently on the cloud.

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5 reasons why Agile transformation fails

CIO Business Intelligence

When executives got tired of long project timelines, unclear requirements, and missed deadlines, Agile seemed like the ultimate solution since it promised faster delivery, more flexibility, and closer alignment to business needs so the strategy could be realized quicker and with a higher ROI. Now, however, organizations are laying off Agile teams en masse, disillusioned by the lack of tangible results.

Strategy 133
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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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The gap between AI investment and AI adoption

CIO Business Intelligence

AI continues to shape cloud strategies, but AI implementation is going slower than most predicted. This is frustrating for technology providers who have made big bets on AI. What’s going on? A recent survey conducted by Censuswide on behalf of Red Hat polled 609 IT managers across the United Kingdom and other major markets. More than 80% of IT managers reported an urgent AI skills shortage, mainly in areas such as generative AI , large language models (LLMs), and data science.

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AI-native software engineering may be closer than developers think

CIO Business Intelligence

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Organizations and vendors are already rolling out AI coding agents that enable developers to fully automate or offload many tasks, with more pilot programs and proofs-of-concept likely to be launched in 2025, says Philip Walsh, senior principal analyst in Gartner’s

Software 141
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Why ethical AI should be important to CIOs

CIO Business Intelligence

Salima Bhimani has been encouraging the responsible and ethical use of AI for several years as Alphabet’s first chief strategist and director for inclusive and responsible technology, business, and leaders from 2017 to 2023. At Google’s parent company, she worked with moonshot companies such as Waymo, Wing, and X, to shape sustainable businesses and global impact.

Strategy 131
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As AI scales, infrastructure challenges emerge

CIO Business Intelligence

Organizations experimenting with gen AI typically set up enterprise-grade accounts with cloud-based services such as OpenAI’s ChatGPT or Anthropic’s Claude, and early field tests and productivity benefits may inspire them to look for more opportunities to deploy the technology. “Companies use gen AI to produce executive summaries, or to produce marketing content,” says Nick Kramer, leader of applied solutions at SSA & Company, a global consulting firm, and next year, we’ll see increased adop

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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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The success of GenAI models lies in your data management strategy

CIO Business Intelligence

The rise of generative AI (GenAI) felt like a watershed moment for enterprises looking to drive exponential growth with its transformative potential. However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls.

Strategy 142
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Gartner: 13 AI insights for enterprise IT

CIO Business Intelligence

Artificial intelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. Analysts at this week’s Gartner IT Symposium/Xpo spent tons of time talking about the impact of AI on IT systems and teams. It began with the opening keynote, which asked the question: “The world of Artificial Intelligence is exhilarating and often exhausting, and the pace of innovation can s

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The mainframe’s future in the age of AI

CIO Business Intelligence

If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it. While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes.

Strategy 133
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AI dominates Gartner’s 2025 predictions

CIO Business Intelligence

Artificial Intelligence continues to dominate this week’s Gartner IT Symposium/Xpo, as well as the research firm’s annual predictions list. “It is clear that no matter where we go, we cannot avoid the impact of AI,” Daryl Plummer, distinguished vice president analyst, chief of research and Gartner Fellow told attendees. “AI is evolving as human use of AI evolves.

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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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AI & the enterprise: protect your data, protect your enterprise value

CIO Business Intelligence

In 2018, I wrote an article asking, “Will your company be valued by its price-to-data ratio?” The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value.

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Gartner projects major IT spending increases for 2025

CIO Business Intelligence

Gartner is projecting worldwide IT spending to jump by 9.3% in 2025, one of the largest percentage increases in this century, and it’s only partially driven by AI. Gartner’s new 2025 IT spending projection , of $5.75 trillion, builds on its prediction of an 8.2% growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs.

IT 133
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Google Cloud chief moves to ServiceNow as COO

CIO Business Intelligence

Just a day after announcing his departure from Google to his LinkedIn followers, Amit Zavery said that he is joining ServiceNow as COO. ServiceNow said that Zavery will serve as “president, chief product officer (CPO), and chief operating officer (COO) to lead product and engineering, effective October 28, 2024.” “In his role as president, CPO, and COO, Zavery’s responsibilities include ServiceNow’s platform, products, engineering, cloud infrastructure, and user experience.

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Many C-suite execs have lost confidence in IT, including CIOs

CIO Business Intelligence

Some bad news for CIOs: Many C-suite leaders, including IT leaders themselves, have less confidence in your department’s ability to get the job done than they did a decade ago. Less than half of C-level executives believe their IT organizations are effectively delivering basic services, compared to about two-thirds with confidence in 2013, according to a survey recently released by the IBM Institute for Business Value.

IT 140
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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.