Sat.Jun 03, 2023 - Fri.Jun 09, 2023

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13 essential skills for accelerating digital transformation

CIO

Digital transformation is indeed a cornerstone of business strategy today, as 89% of enterprises see digital business as core to their growth, according to Gartner’s Board of Directors 2023 Survey. Equally telling is another statistic from that research: Just 35% of these enterprises have achieved their digital goals or are on track to do so. “This underlines the need for organizations to embrace change and adopt a more agile and forward-thinking approach to digital transformation skills in orde

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Wild West to Agile: Adventures in software development evolution and revolution

Agile Alliance

RESOURCES Wild West to Agile: Adventures in software development evolution and revolution All Resources Blog Experience Reports Webcasts Videos Books Event Sessions Research Papers All ResourcesBlogExperience ReportsWebcastsVideosBooksEvent SessionsResearch Papers About this Publication Wild West to Agile is drawn from personal experience, from the Apollo moon mission to digital transformations.

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Top 10 Frameworks for Developing Enterprise Applications

OTS Solutions

Enterprise application development projects have been transforming all industries such as healthcare, education, travel, hospitality, etc. Experts predicted that the framework-based application development market can grow by  $527.40 billion by 2030. In this blog, we discuss the top-rated enterprise application development frameworks that make your process of developing an enterprise application easy.

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Running unsupported Azure Python SDK on my brand new M2 Mac

Xebia

How it started out When installing software on my new MacBook Pro M2, I started out with a fresh install instead of restoring from a back-up. This worked out great until I tried to follow a tutorial written by a colleague which used the Azure Python SDK to create a dataset and upload it to an Azure storage account. The error was not too descriptive and quite generic: ModuleNotFoundError: No module named 'azureml.dataprep' Let’s try to fix this Some searching on the internet sugge

Azure 130
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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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10 hottest IT jobs for salary growth in 2023

CIO

As companies vie for talented tech workers to meet skills gaps in their organizations, the demand for certain tech roles has increased. There’s a strong need for workers with expertise in helping companies make sense of data, launch cloud strategies, build applications, and improve the overall user experience. This demand has driven up salaries for IT roles, especially those around development, engineering, and support.

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Top 10 Frameworks for Developing Enterprise Applications

OTS Solutions

Enterprise application development projects have been transforming all industries such as healthcare, education, travel, hospitality, etc. Experts predicted that the framework-based application development market can grow by  $527.40 billion by 2030. In this blog, we discuss the top-rated enterprise application development frameworks that make your process of developing an enterprise application easy.

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Use StepFunctions to simplify your serverless applications

Xebia

Use StepFunctions to simplify your serverless applications AWS StepFunctions is a great orchestrating tool for your serverless applications. When you write lambda functions that only contain logic to perform a single task they are easier to test. Especially when there is no orchestration logic within your function. The orchestration is then performed by StepFunctions by defining a state machine.

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The steep cost of a poor data management strategy

CIO

It’s a time-tested truth: Getting a head start improves outcomes. In sprint races, it’s not always the fastest runner that wins, but the one with the best start. And marathoners know that how they run their first few miles often determines how they finish. And before runners even enter a race—whether a sprint or a marathon—they have prepared with months or years of training.

Strategy 289
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Your Data Strategy Needs to Include Everyone

Harvard Business Review

An entirely new “management paradigm” for data is needed. As used here, a “management paradigm” embodies a common language, a holistic vision of the ways data should contribute, a clearly defined organizational structure showing how data integrates across the organization, along with clear roles and responsibilities for all involved. Eventually, it needs to incorporate corporate culture, relationships with universities and vendors, policy, and anything else that advances, or holds back the effec

Data 143
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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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Microsoft’s 9th Outage in 2023 ¦ RISE of RISC-V ¦ Meta Ends WFH

DevOps.com

In this week’s #TheLongView: Redmond SaaS keeps failing, RISC-V is RISEing, and Meta is enforcing hybrid work. The post Microsoft’s 9th Outage in 2023 ¦ RISE of RISC-V ¦ Meta Ends WFH appeared first on DevOps.com.

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The Key Role of the Release Train Engineer in Power Grid Companies: Spearheading Agile Transformation in the Energy Transition

Xebia

In today’s rapidly evolving energy landscape, power grid companies play a pivotal role in facilitating the smooth and efficient distribution of electricity to consumers. With the increasing demand for clean energy and the fast-paced nature of the energy transition era, these companies must embrace agility and innovation to adapt to changing technologies and deliver value to their customers.

Energy 130
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It’s time to evolve beyond marketing to create meaningful metaverse moments

CIO

VISION by Protiviti , Protiviti’s future-focused content initiative, has spent months exploring the metaverse future. Part of that exploration is a global survey we publish with the University of Oxford. I took a deep dive into the results and found some of what business leaders said in the Executive Outlook on the Metaverse, 2033 and Beyond spot on; while other results were quite surprising.

Marketing 278
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GPT-4 + Streaming Data = Real-Time Generative AI

Confluent

ChatGPT and data streaming can work together for any company. Learn a basic framework for using GPT-4 and streaming to build a real-world production application.

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2024 Salary Guide

Procom’s 2024 Salary Guide provides critical insights into the latest hiring trends, in-demand IT roles, and competitive pay rates across Canada and the U.S. It highlights key market dynamics such as the growing demand for remote work, skills-based hiring, and flexible staffing solutions. With detailed pay rate data for top IT positions like Cybersecurity Consultants, Cloud Engineers, and Salesforce Developers, this guide is an essential resource for companies looking to stay competitive in toda

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How to Build Successful DevOps Teams

DevOps.com

The DevOps sector is still in urgent need of new talent, with 38% of tech companies stating that they struggle to find skilled developers in 2023. These same respondents named DevOps as the number-one area where they are feeling the pinch. Because of this, businesses must ensure they prioritize and nurture the right set of […] The post How to Build Successful DevOps Teams appeared first on DevOps.com.

DevOps 137
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TDD saved the day

Xebia

Sometimes, the coding task in front of you can be overwhelmingly complex. Despite refining the user story, numerous unknowns remain. In such situations, you have two options: continuously refine the story, hoping for an epiphany, or start with what you already know. Recently, I chose the latter approach: diving right in. Armed with a few assumptions about how things should work, I embarked on developing an application with a graphical UI and a backend.

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Assessing the business risk of AI bias

CIO

AI doesn’t get better than the data it’s trained on. This means that biased selection and human preferences can propagate into the AI ​​and cause the results that come out to be skewed. In the US, authorities are now using new laws to enforce instances of discrimination due to prejudicial AI, and the Consumer Financial Protection Bureau currently investigates housing discrimination due to biases in algorithms for lending or housing valuation.

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To Build a Top Performing Team, Ask for 85% Effort

Harvard Business Review

An outdated way of thinking about peak performance is: “maximum effort = maximum results.” But research shows that it doesn’t actually work that way in reality. Here’s what actually works: The 85% rule, which counterintuitively suggests that to reach maximum output, you need to refrain from giving maximum effort. Operating at 100% effort all of the time will result in burnout and ultimately less-optimal results.

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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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Supercharging Ansible Automation With AI

DevOps.com

Whether the latest incarnations of generative AI will live up to their seemingly great promise remains to be seen. This does not always happen with new technology, but the torrent of AI advancements is promising disruption across nearly every industry. Instead of posing a threat to human roles, AI now aims to make tasks easier, […] The post Supercharging Ansible Automation With AI appeared first on DevOps.com.

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Native Frame Rate Playback

Netflix Tech

by Akshay Garg , Roger Quero Introduction Maximizing immersion for our members is an important goal for the Netflix product and engineering teams to keep our members entertained and fully engaged in our content. Leveraging a good mix of mature and cutting-edge client device technologies to deliver a smooth playback experience with glitch-free in-app transitions is an important step towards achieving this goal.

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A guide to hybrid cloud deployment for innovation without disruption

CIO

Contact center platform vendors are bringing more cloud offerings to market, but not every organization is ready to transform with a move completely off-premises: Some prefer to keep certain workloads nearby (ex: 40% prefer to keep analytics and data deployment on-premises, according to new research from Ventana). Others – especially large enterprises that operate in multiple verticals, global regions, or verticals with strict governance – navigate complexities around compliance, data privacy, a

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Managing the Risks of Generative AI

Harvard Business Review

Generative artificial intelligence (AI) has become widely popular, but its adoption by businesses comes with a degree of ethical risk. Organizations must prioritize the responsible use of generative AI by ensuring it is accurate, safe, honest, empowering, and sustainable. Organizations need to be mindful of the ethical implications and take necessary steps to reduce risks.

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An Architect’s Guide for Selecting Scalable, Data-Layer Technologies

There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success. That’s why we developed this white paper to give you insights into four key open-source technologies – Apache Cassandra®, Apache Kafka®, Apache Spark™, and OpenSearch® – and how to leverage them for lasting success. Discover everything you’ll want to know about scalable, data-layer technologies: Learn when to choose these technologies and when to avoid them Explore h

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Leading Through Fear with Kim Campbell

Let's Grow Leaders

In this episode, former fighter pilot and retired Air Force Colonel Kim “KC” Campbell gives practical and inspirational ways of leading through fear and decision-making in high-stress situations. You’ll get lessons and stories that will serve as a resource for you as you lead your employees, students, and others through the challenges of life and work, learning to create a positive impact and make a big difference in the lives of the people who follow you.

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The Future of Continuous Testing in CI/CD

DevOps.com

If you ever wonder why continuous testing is so important, think about the following: In the past, software testing was typically done after the code was written and sent to the QA department for independent testing. When bugs were discovered, the code was returned to the developers for correction. While this testing method worked, it […] The post The Future of Continuous Testing in CI/CD appeared first on DevOps.com.

Testing 113
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Saudi Vision 2030: Why the Kingdom is becoming a hub in EdTech education

CIO

The Pandemic has pushed companies to accelerate their digital journey, large companies are already being encouraged to replace their traditional working methods with telematic ones. Proof of this is the KSA Cloud First Policy, announced in October 2020 by Saudi Arabia’s Ministry of Communications and InformationTechnologies, after the launch of a cloud data center in the city of Jeddah, by Oracle.

Education 264
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What Will Working with AI Really Require?

Harvard Business Review

To foster a symbiotic relationship between humans and AI, organizations must find the appropriate balance between investing in human skills and technological capabilities, and think strategically about how they attract and retain talent. To do this effectively, they need to think about where and how this technology will be used to assist people in their work — where people and machines will collaborate — and where either people or AI have skills that give them a clear advantage.

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IT Leadership Agrees AI is Here, but Now What?

IT leaders are experiencing rapid evolution in AI amid sustained investment uncertainty. As AI evolves, enhanced cybersecurity and hiring challenges grow. This whitepaper offers real strategies to manage risks and position your organization for success.

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The 3 Key Blockers to Collaborative Communication

CEO Insider

“A Stanford study of 1,100 companies found that organizations promoting collaboration among their employees were five times more likely to be high performing. Other research shows that businesses with a collaboration strategy were twice as likely to outgrow their competitors, while their collaborating employees saw gains in efficiency, quality of work, innovation, and overall job […] The post The 3 Key Blockers to Collaborative Communication appeared first on CEOWORLD magazine.

Study 111
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Article: Debugging Outside Your Comfort Zone: Diving Beneath a Trusted Abstraction

InfoQ Culture Methods

This article takes a deep dive through a complex outage in the main database cluster of a payments company. We’ll focus on the aftermath of the incident - the process of understanding what went wrong, recreating the outage in a test cluster, and coming up with a way to stop it from happening again, and dive deep into the internals of Postgres, and learn about how it stores data on disk.

Testing 109
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5 tips for startup partnership success

CIO

IT leaders looking to accelerate their innovation agendas have a partner-in-waiting in the startup ecosystem. By linking up with startups, CIOs can greatly expand their opportunities to experiment with emerging technologies and augment their in-house innovation programs. And the market for doing so remains robust for corporations looking to make the most of the model.