CIO

NOVEMBER 1, 2024

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLennan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

Generative AI 183

Generative AI Technical Advisors Insurance Weak Development Team 183

CIO

APRIL 25, 2025

AI skills broadly include programming languages, database modeling, data analysis and visualization, machine learning (ML), statistics, natural language processing (NLP), generative AI, and AI ethics. As one of the most sought-after skills on the market right now, organizations everywhere are eager to embrace AI as a business tool.

Artificial Inteligence 190

Artificial Inteligence DevOps Virtualization Industry 190

CIO

APRIL 16, 2025

to identify opportunities for optimizations that reduce cost, improve efficiency and ensure scalability. Software architecture: Designing applications and services that integrate seamlessly with other systems, ensuring they are scalable, maintainable and secure and leveraging the established and emerging patterns, libraries and languages.

Technical Review 186

Technical Review Enterprise Strategy Innovation 186

CIO

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. The ideal solution should be scalable and flexible, capable of evolving alongside your organization’s needs. However, a significant challenge persists: harmonizing data systems to fully harness the power of AI.

Enterprise 158

Enterprise Data Insurance Business Intelligence 158

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. DataOps goals According to Dataversity , the goal of DataOps is to streamline the design, development, and maintenance of applications based on data and data analytics. What is DataOps?

Analytics 195

Analytics Data Engineering Artificial Inteligence Machine Learning 195

CIO

SEPTEMBER 10, 2022

American Airlines, the world’s largest airline, is turning to data and analytics to minimize disruptions and streamline operations with the aim of giving travelers a smoother experience. Combining automation with machine learning for natural language processing is very effective in helping solve many customer-facing issues.”.

Airlines 218

Airlines Analytics Weak Development Team Travel 218

CIO

NOVEMBER 1, 2024

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLellan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

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. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

NOVEMBER 14, 2022

Analytics have evolved dramatically over the past several years as organizations strive to unleash the power of data to benefit the business. Embrace the democratization of data with low-code/no-code technologies that offer the insight and power of analytics to anyone in the organization.

Analytics 167

Analytics Artificial Inteligence Machine Learning AWS 167

CIO

APRIL 23, 2025

Streamline processing: Build a system that supports both real-time updates and batch processing , ensuring smooth, agile operations across policy updates, claims and analytics. The machine learning models would target and solve for one use case, but Gen AI has the capability to learn and address multiple use cases at scale.

Insurance 164

Insurance Artificial Inteligence Data Architecture 164

CIO

MARCH 20, 2025

AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. And its modular architecture distributes tasks across multiple agents in parallel, increasing the speed and scalability of migrations.

Artificial Inteligence 139

Artificial Inteligence Enterprise Insurance Artificial Intelligence 139

CIO

JANUARY 20, 2023

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

Exadel

JULY 6, 2022

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.

Artificial Inteligence 140

Artificial Inteligence Machine Learning Banking Fintech 140

AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.

Generative AI 109

Generative AI Video Engineering Artificial Inteligence 109

TechCrunch

MAY 19, 2022

Everstream Analytics , a supply chain insights and risk analytics startup, today announced that it raised $24 million in a Series A round led by Morgan Stanley Investment Management with participation from Columbia Capital, StepStone Group, and DHL. Plenty of startups claim to do this, including Backbone , Altana , and Craft.

Analytics 211

Analytics Network Advertising Sustainability 211

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. With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible.

Data 112

Data Generative AI Artificial Inteligence Compliance 112

CIO

NOVEMBER 4, 2024

Over the next one to three years, 84% of businesses plan to increase investments in their data science and engineering teams, with a focus on generative AI, prompt engineering (45%), and data science/data analytics (44%), identified as the top areas requiring more AI expertise.

Infrastructure 193

Infrastructure Marketing Data Artificial Inteligence 193

Dzone - DevOps

APRIL 9, 2025

When combined with the transformative capabilities of artificial intelligence (AI) and machine learning (ML), serverless architectures become a powerhouse for creating intelligent, scalable, and cost-efficient solutions. By abstracting the complexities of infrastructure, AWS enables teams to focus on innovation.

Serverless 52

Serverless Artificial Inteligence Scalability AWS 52

TechCrunch

AUGUST 16, 2022

” Pliops isn’t the first to market with a processor for data analytics. Oracle’s SPARC M7 chip has a data analytics accelerator coprocessor with a specialized set of instructions for data transformation. As a result, organizations are looking for solutions that free CPUs from computationally intensive storage tasks.”

Data Center 208

Data Center Analytics Weak Development Team Data 208

TechCrunch

FEBRUARY 17, 2021

TigerGraph , a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. “This funding will allow us to expand our offering and bring it to many more markets, enabling more customers to realize the benefits of graph analytics and AI.”

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

Perficient

NOVEMBER 17, 2024

It enables seamless and scalable access to SAP and non-SAP data with its business context, logic, and semantic relationships preserved. Semantic Modeling Retaining relationships, hierarchies, and KPIs for analytics. Performance and Scalability Optimized for high-performance querying, batch processing, and real-time analytics.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

Palo Alto Networks

OCTOBER 21, 2024

Powered by Precision AI™ – our proprietary AI system – this solution combines machine learning, deep learning and generative AI to deliver advanced, real-time protection. Machine learning analyzes historical data for accurate threat detection, while deep learning builds predictive models that detect security issues in real time.

Compliance 111

Compliance Virtualization Conference Generative AI 111

TechCrunch

AUGUST 25, 2021

Python is one of the top programming languages used among artificial intelligence and machine learning developers and data scientists, but as Behzad Nasre, co-founder and CEO of Bodo.ai, points out, it is challenging to use when handling large-scale data. Parallelization is the only way to extend Moore’s Law , Nasre told TechCrunch.

Artificial Inteligence 234

Artificial Inteligence Machine Learning Data Artificial Intelligence 234

CIO

JANUARY 1, 2025

Koletzki would use the move to upgrade the IT environment from a small data room to something more scalable. He knew that scalability was a big win for a company in aggressive growth mode, but he just needed to be persuaded that the platforms were more robust, and the financials made sense. Thats not the case in AI.

Strategy 152

Strategy Azure Technical Review Systems Review 152

TechCrunch

APRIL 7, 2021

Retail analytics unicorn Trax expects that this openness to tech innovation will continue even after the pandemic. More specifically, we will use the capital to accelerate growth and triple-down on continued innovation across our core vision, machine learning, IoT and marketplace technologies.”.

Retail 186

Retail Analytics Company Artificial Inteligence 186

CIO

MARCH 14, 2025

With generative AI on the rise and modalities such as machine learning being integrated at a rapid pace, it was only a matter of time before a position responsible for its deployment and governance became widespread. In many companies, they overlap with the functions of the CIO, the CDO, the CTO, and even the CISO.

Artificial Inteligence 194

Artificial Inteligence Artificial Intelligence Government Generative AI 194

AWS Machine Learning - AI

NOVEMBER 15, 2024

Additional integrations with services like Amazon Data Firehose , AWS Glue , and Amazon Athena allowed for historical reporting, user activity analytics, and sentiment trends over time through Amazon QuickSight. All AWS services are high-performing, secure, scalable, and purpose-built.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

CIO

OCTOBER 20, 2023

Embrace scalability One of the most critical lessons from Bud’s journey is the importance of scalability. For Bud, the highly scalable, highly reliable DataStax Astra DB is the backbone, allowing them to process hundreds of thousands of banking transactions a second. Artificial Intelligence, Machine Learning

Google Cloud 197

Google Cloud Artificial Inteligence Development Team Review Banking 197

Cloudera

JANUARY 7, 2025

This transition streamlined data analytics workflows to accommodate significant growth in data volumes. The scalable cloud infrastructure optimized costs, reduced customer churn, and enhanced marketing efficiency through improved customer segmentation and retention models.

Cloud 82

Cloud Data Scalability Compliance 82

CIO

JUNE 30, 2023

This doesn’t mean the cloud is a poor option for data analytics projects. In many scenarios, the scalability and variety of tooling options make the cloud an ideal target environment. Foundry’s 2022 Data & Analytics study found that 62% of IT leaders expect the share of analytics workloads they run in the cloud to increase.

Analytics 148

Analytics Cloud Data Government 148

AWS Machine Learning - AI

OCTOBER 29, 2024

Although the implementation is straightforward, following best practices is crucial for the scalability, security, and maintainability of your observability infrastructure. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

Generative AI 109

Generative AI Applications AWS Knowledge Base 109

AWS Machine Learning - AI

NOVEMBER 7, 2024

SageMaker JumpStart is a machine learning (ML) hub that provides a wide range of publicly available and proprietary FMs from providers such as AI21 Labs, Cohere, Hugging Face, Meta, and Stability AI, which you can deploy to SageMaker endpoints in your own AWS account. It’s serverless so you don’t have to manage the infrastructure.

Generative AI 111

Generative AI AWS Enterprise Artificial Inteligence 111

TechCrunch

JANUARY 23, 2023

The consulting giant reportedly paid around $50 million for Iguazio, a Tel Aviv-based company offering an MLOps platform for large-scale businesses — “MLOps” referring to a set of tools to deploy and maintain machine learning models in production.

Artificial Inteligence 222

Artificial Inteligence Machine Learning Continuous Delivery ChatGPT 222

AWS Machine Learning - AI

MARCH 20, 2025

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Therefore, it was valuable to provide Asure a post-call analytics pipeline capable of providing beneficial insights, thereby enhancing the overall customer support experience and driving business growth.

Generative AI 79

Generative AI Artificial Inteligence Metrics AWS 79

Openxcell

FEBRUARY 27, 2025

These agents are reactive, respond to inputs immediately, and learn from data to improve over time. Different technologies like NLP (natural language processing), machine learning, and automation are used to build an AI agent. Learning Agents Learning agents improve their performance over time by adapting to new data.

UI/UX 69

UI/UX How To Artificial Inteligence Machine Learning 69

Perficient

APRIL 16, 2025

One of the clear strengths of generative AI is data cleansing, where data management processes are not just immensely more accurate and efficient but scalable too. Scalability With generative AI, organizations can process large-scale datasets andfacilitatetheassurance ofdata qualityacross complex systems and highly diverse sources.

Generative AI 52

Generative AI Data Scalability Artificial Inteligence 52

TechCrunch

SEPTEMBER 27, 2021

Machine learning and other artificial intelligence applications add even more complexity. “With a step-function increase in folks working/studying from home and relying on cloud-based SaaS/PaaS applications, the deployment of scalable hardware infrastructure has accelerated,” Gajendra said in an email to TechCrunch.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246