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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What is Agentic AI Tool Use Pattern?

Analytics Vidhya

Our previous guide discussed the first Agentic AI design pattern from the Reflection, Tool Use, Planning, and Multi-Agent Patterns list. Now, we will talk about the Tool Use Pattern in Agentic AI. Firstly, let us reiterate the Reflection Pattern article: That article sheds light on how LLMs can use an iterative generation process and self-assessment […] The post What is Agentic AI Tool Use Pattern?

Analytics 273
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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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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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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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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.

More Trending

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The Role of Data in Shaping the Future of Business in Mayfair

Smart Data Collective

Mayfair, one of the oldest districts in London, has started showing the benefits of investing in big data for business.

Big Data 109
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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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Deprecation of Lake Formation’s Governed Tables Feature

AWS Big Data

After careful consideration, we have made the decision to end support for Governed Tables , effective December 31, 2024, to focus on open source transactional table formats such as Apache Iceberg , Apache Hudi , and Linux Foundation Delta Lake. This decision stems from customer preference for these open source solutions, which offer ACID-compliant transactions, compaction, time travel, and other features previously provided by Governed Tables.

Snapshot 119
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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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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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Are enterprises ready to adopt AI at scale?

CIO Business Intelligence

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. In fact, a recent Cloudera survey found that 88% of IT leaders said their organization is currently using AI in some way.

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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 138
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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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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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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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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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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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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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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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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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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 138
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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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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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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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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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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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Oracle adds agentic AI to Fusion Cloud CX

CIO Business Intelligence

Aiming to deliver end-to-end service automation, Oracle on Wednesday unveiled new agentic AI capabilities for Oracle Fusion Cloud Service and Oracle Fusion Field Service. Oracle said the new AI-driven workflows will help service teams increase service efficiency, reduce time-to-resolution, and improve customer experience. “We’re striving at Oracle for total end-to-end service automation, not enhancements, not spot efficiency gains in service,” Jeff Wartgow, vice president of Oracle Service, told

Finance 135
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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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3 things to get right with data management for gen AI projects

CIO Business Intelligence

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. While a few elite organizations like Nvidia use gen AI for things like designing new chips, most have settled on less sophisticated use cases that employ simpler models, and can focus on achieving excellence in data management.

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Accenture forms new Nvidia business group focused on agentic AI adoption

CIO Business Intelligence

Accenture and Nvidia announced an expanded partnership Wednesday with Accenture’s new Nvidia business group focused on helping customers rapidly scale AI adoption. Accenture said the new group will use Accenture’s AI Refinery platform — built on the Nvidia AI stack, including Nvidia AI Foundry, Nvidia AI Enterprise, and Nvidia Omniverse — to help clients create a foundation for use of agentic AI.

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Unifying security and networking the AI-native way

CIO Business Intelligence

In today’s enterprise environments, security and networking teams may be siloed for a variety of reasons. Perhaps legacy organizational structures divided their responsibilities and expertise, or different priorities resulted in a lack of interdepartmental collaboration. The root cause might be technological, with teams using tools and platforms specifically tailored for their separate domains.

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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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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.