Agile Alliance

FEBRUARY 14, 2025

In this Agile success story, a Siemens QA team transformed bug management by leveraging data, collaboration, and machine learning to improve software quality and efficiency. The post Turning bugs into business insights with Agile first appeared on Agile Alliance.

Agile 150

Agile Machine Learning Artificial Inteligence Software 150

CIO

APRIL 23, 2025

I believe that the fundamental design principles behind these systems, being siloed, batch-focused, schema-rigid and often proprietary, are inherently misaligned with the demands of our modern, agile, data-centric and AI-enabled insurance industry. Features like time-travel allow you to review historical data for audits or compliance.

Insurance 164

Insurance Artificial Inteligence Data Architecture 164

CIO

DECEMBER 20, 2024

Optimize data flows for agility. Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility. Not all data architectures leverage cloud storage, but many modern data architectures use public, private, or hybrid clouds to provide agility. AI and machine learning models.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

CIO

DECEMBER 5, 2024

Opt for platforms that can be deployed within a few months, with easily integrated AI and machine learning capabilities. This ensures your organization effectively utilizes data, scales effortlessly, and stays agile and adaptable. Visit EXL’s website for more information on transforming processes with data.

Enterprise 158

Enterprise Data Insurance Business Intelligence 158

CIO

APRIL 16, 2025

There are trade-offs of consistency and maintainability versus agility that need to be carefully decided upon. Automation: Maximizing tools and practices in the delivery environments like IAC, CICD, DevOps, SecOps and Test Automation aligned with the technology and cloud provider stacks and enable sustainable agile delivery.

Technical Review 186

Technical Review Enterprise Strategy Innovation 186

AWS Machine Learning - AI

DECEMBER 2, 2024

Finally, we delve into the supported frameworks, with a focus on LMI, PyTorch, Hugging Face TGI, and NVIDIA Triton, and conclude by discussing how this feature fits into our broader efforts to enhance machine learning (ML) workloads on AWS. This feature is only supported when using inference components. gpu-py311-cu124-ubuntu22.04-sagemaker",

Generative AI 107

Generative AI Artificial Inteligence Machine Learning AWS 107

N2Growth Blog

DECEMBER 4, 2024

Their leadership is crucial in ensuring the organization remains agile and responsive in an era of constant technological change. Driving innovation involves fostering a culture of experimentation and agility, embracing new ideas that can propel the business forward.

Digital Marketing 138

Digital Marketing Marketing Artificial Inteligence Culture 138

CIO

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. These two foundational cores need to be aligned for agility across the edge, on-premises, hybrid cloud, and multi-vendor clouds.

Artificial Inteligence 218

Artificial Inteligence Artificial Intelligence Machine Learning Agile 218

TechCrunch

JUNE 9, 2021

During a remarkably challenging year, our team delivered impressive results and we are excited to continue this growth trajectory by delivering the best agile CMS platform for a digital-first world.” ” The company says it saw its customer base grow over 150% since closing its $31.5 million Series A round in October 2019.

System 257

System Artificial Inteligence Machine Learning Travel 257

CIO

NOVEMBER 18, 2024

Prosegur complementa esta transformación tecnológica con programas de formación y desarrollo continuo, como la Universidad de Prosegur , donde los empleados pueden mejorar sus habilidades en áreas como IA, ciberseguridad y metodologías agile. Según Fernández, en Prosegur “hemos tenido que hacer frente a los retos que esto implica.

Artificial Inteligence 173

Artificial Inteligence Machine Learning Azure Compliance 173

CIO

DECEMBER 17, 2024

So, we must look at how we deploy AI and cloud in an agile manner. Trying to rationalize how we use AI in conjunction with the cloud is very important. As a distributor, we are a low-margin business, and cloud can be as much as 25% of your operating income. Theres no other way than to embrace it ourselves.

Artificial Inteligence 158

Artificial Inteligence Cloud Artificial Intelligence Generative AI 158

TechCrunch

JUNE 1, 2022

MLOps platform Iterative , which announced a $20 million Series A round almost exactly a year ago, today launched MLEM, an open-source git-based machine learning model management and deployment tool. “Having a machine learning model registry is becoming an essential part of the machine learning technology stack.

Open Source 240

Open Source Tools Artificial Inteligence Machine Learning 240

CIO

MARCH 7, 2023

Agile for hybrid teams optimizing low-code experiences The agile manifesto is now 22 years old and was written when IT departments struggled with waterfall project plans that often failed to complete, let alone deliver business outcomes. Today, many CIOs must determine which agile tools to use and where to create practice standards.

Weak Development Team 218

Weak Development Team Technical Review Software Review SCRUM 218

TechCrunch

MARCH 16, 2022

TruEra , a startup that offers an AI quality management solution to optimize, explain and monitor machine learning models, today announced that it has raised a $25 million Series B round led by Menlo Ventures. “If I were the machine learning data scientist, what would I want to use?

Analytics 218

Analytics Artificial Inteligence Machine Learning Software Development 218

TechCrunch

APRIL 12, 2022

“Searching for the right solution led the team deep into machine learning techniques, which came with requirements to use large amounts of data and deliver robust models to production consistently … The techniques used were platformized, and the solution was used widely at Lyft.” Cloud advantage.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

CIO

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. This shift in attitude and expectations needed to come top down and bottom up,” he says.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

OCTOBER 14, 2024

Some CIOs are reluctant to invest in emerging technologies such as AI or machine learning, viewing them as experimental rather than tools for gaining competitive advantage. By implementing agile methodologies and focusing on customer-centric innovations, the company not only modernized but also became a leader in its industry.”

Technical Review 197

Technical Review Innovation Survey Systems Review 197

TechCrunch

OCTOBER 15, 2020

Bipedal robot developer Agility announces $20M raise — Agility’s Digit is a package delivery robot capable of navigating stairs and other terrain. Advice and analysis from Extra Crunch. Reminder: Extra Crunch is our subscription membership program, which aims to democratize information about startups. You can sign up here.).

Technical Review 230

Technical Review Small Business Agile Machine Learning 230

CIO

JANUARY 18, 2024

Half of CEOs say their organization is at least somewhat unprepared for AI and machine learning (ML) adoption, according to Workday’s C-Suite Global AI Indicator Report. That’s a big difference with machine learning vs. traditional approaches.” Just 6% say they are fully prepared.) Artificial Intelligence

Artificial Inteligence 190

Artificial Inteligence Artificial Intelligence Machine Learning Study 190

AWS Machine Learning - AI

JANUARY 29, 2025

Operating model patterns Organizations can adopt different operating models for generative AI, depending on their priorities around agility, governance, and centralized control. This enables faster time-to-market and agility because LOBs can rapidly experiment and roll out generative AI solutions tailored to their needs.

Generative AI 98

Generative AI Organization Enterprise Artificial Inteligence 98

CIO

OCTOBER 1, 2024

AI and machine learning (ML). However, when you look into the statistics for those who specifically pointed to AI and machine learning as their biggest skills deficiency, only 21% said they lacked confidence in their skills and only 33% noted concerns about job security — both better than the survey average.

Weak Development Team 203

Weak Development Team Artificial Inteligence Training Survey 203

CIO

MARCH 26, 2025

Kopal has seen C-suite conversations around technology focus on digital transformation, leveraging data analytics, AI and machine learning to innovate in their business model, customer, and employee experience. Namrita prioritizes agility as a virtue.

CTO Coach 99

CTO Coach Technical Advisors IoT Sustainability 99

AWS Machine Learning - AI

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. This streamlined approach enables real-time monitoring and proactive agent coaching, ultimately driving improved customer experience and operational agility.

Data 117

Data Generative AI Artificial Inteligence Compliance 117

CIO

NOVEMBER 18, 2024

Starting small, adopting agile practices, and balancing utility with cost can help you unlock these opportunities. To learn more, visit us here To find out more about Reggie Kelley, click here To find out more about Kelvin Russell, click here

Cloud 166

Cloud Systems Review Technical Review AWS 166

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. DataOps principles Like DevOps, DataOps takes its cues from the agile methodology. The DataOps approach is not limited to machine learning,” they add. What is DataOps?

Analytics 195

Analytics Data Engineering Machine Learning Artificial Inteligence 195

CIO

OCTOBER 7, 2024

With recent advances in AI, industrial organizations can enhance agility, flexibility, and interoperability in robot-to-robot and robot-to-human interactions. For example, robotics have long played a significant role in the industrial sector at the edge, from discrete manufacturing to continuous batch processing and hybrid manufacturing.

Artificial Inteligence 179

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 179

CIO

MARCH 13, 2025

And a Red Hat survey of IT managers in several European countries and the UAE found that 71% reported a shortage of AI skills, making it the most significant skill gap today, ahead of cybersecurity, cloud, and Agile. The talent shortage is particularly acute in two key areas, says Arun Chandrasekaran at Gartner.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

CIO

OCTOBER 1, 2024

Most have built a level of agility to accommodate or mitigate these risks and will be checking in with their suppliers and taking steps to reserve critical resources.” If we can have the time and forethought to predict, react, and respond as a business, we are more resilient and agile.”

Pharmaceuticals 190

Pharmaceuticals Technical Review Analytics Retail 190

CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s also used to deploy machine learning models, data streaming platforms, and databases. That’s not to say it’ll be easy.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

CIO

APRIL 11, 2023

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. Learn more about how to build agile, cloud-native applications on the Microsoft Cloud.

Innovation 204

Innovation Cloud Fintech Azure 204

CIO

NOVEMBER 27, 2024

AI needs data cleaning that’s more agile, collaborative, iterative and customized for how data is being used, adds Carlsson. Common data management practices are too slow, structured, and rigid for AI where data cleaning needs to be context-specific and tailored to the particular use case.

Data 211

Data Enterprise Weak Development Team Software Review 211

Apiumhub

DECEMBER 9, 2024

Also combines data integration with machine learning. Spark Pools for Big Data Processing Synapse integrates with Apache Spark, enabling distributed processing for large datasets and allowing machine learning and data transformation tasks within the same platform.

Azure 91

Azure Analytics Storage Machine Learning 91

CIO

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. TensorFlow is a software library for machine learning used for training and inference of deep neural networks.

Data 210

Data Machine Learning Artificial Inteligence Analytics 210

CIO

AUGUST 3, 2022

Modern delivery is product (rather than project) management , agile development, small cross-functional teams that co-create , and continuous integration and delivery all with a new financial model that funds “value” not “projects.”. Modern delivery. The cloud. The cloud is about more than managing costs.

Leadership 218

Leadership SDLC Machine Learning Artificial Inteligence 218

TechCrunch

JUNE 1, 2021

Idwall uses machine learning and AI to automate the onboarding process via its face match, background check, risk analysis, ID validation and automated optical character recognition (OCR) offerings to help companies avoid fraud. .

Technical Review 246

Technical Review Artificial Inteligence Fintech Machine Learning 246

TechCrunch

SEPTEMBER 12, 2022

Vizcayno’s background is in mechatronics engineering, machine learning and data science, and he co-founded Tuibo, a smart wearable device for cyclists, and was former chief technology officer of Byprice, a price comparison platform in Mexico, before forming Alima. “If

Artificial Inteligence 202

Artificial Inteligence Hotels Artificial Intelligence Transportation 202

CIO

NOVEMBER 16, 2023

Afterwards we spent some more time focused specifically on Soni’s perspectives around the power of what she calls “the 4 EAs @scale, @pace”: enterprise agility, enterprise AI, extreme automation, and employee (skill) advancement. What role does the power of enterprise agility play in your efforts to achieve these imperatives?

Artificial Inteligence 193

Artificial Inteligence Insurance Agile Analytics 193