CIO

JANUARY 30, 2025

Augmented data management with AI/ML Artificial Intelligence and Machine Learning transform traditional data management paradigms by automating labour-intensive processes and enabling smarter decision-making. With machine learning, these processes can be refined over time and anomalies can be predicted before they arise.

Scalability 168

Scalability Government Trends Artificial Inteligence 168

CIO

APRIL 23, 2025

This is where Delta Lakehouse architecture truly shines. Approach Sid Dixit Implementing lakehouse architecture is a three-phase journey, with each stage demanding dedicated focus and independent treatment. Step 2: Transformation (using ELT and Medallion Architecture ) Bronze layer: Keep it raw.

Insurance 163

Insurance Artificial Inteligence Data Architecture 163

CIO

SEPTEMBER 29, 2022

s SVP and chief data & analytics officer, has a crowâ??s s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â?? On the role of the Chief Data Officer: Due to the nature of our business, Travelers has always used data analytics to assess and price risk.

Artificial Inteligence 201

Artificial Inteligence Machine Learning Travel Technical Review 201

CIO

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. In healthcare, AI-driven solutions like predictive analytics, telemedicine, and AI-powered diagnostics will revolutionize patient care, supporting the regions efforts to enhance healthcare services.

Trends 158

Trends Innovation IoT Disaster Recovery 158

CIO

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. more machine learning use casesacross the company.

Artificial Inteligence 176

Artificial Inteligence Machine Learning Data Architecture 176

CIO

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. When evaluating options, prioritize platforms that facilitate data democratization through low-code or no-code architectures. Selecting the right data distillery requires consideration.

Enterprise 158

Enterprise Data Insurance Business Intelligence 158

CIO

DECEMBER 11, 2024

Digital transformation started creating a digital presence of everything we do in our lives, and artificial intelligence (AI) and machine learning (ML) advancements in the past decade dramatically altered the data landscape. Thats free money given to cloud providers and creates significant issues in end-to-end value generation.

Data 165

Data Technical Review Software Review Weak Development Team 165

CIO

MAY 12, 2022

What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting. But there are deeper challenges because predictive analytics software can’t magically anticipate moments when the world shifts gears and the future bears little relationship to the past. Highlights. Deployment.

Analytics 206

Analytics Tools Artificial Inteligence Open Source 206

CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

Generative AI 182

Generative AI Technical Advisors Insurance Weak Development Team 182

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 194

Analytics Data Engineering Artificial Inteligence Machine Learning 194

CIO

JANUARY 6, 2025

AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. Digital health solutions, including AI-powered diagnostics, telemedicine, and health data analytics, will transform patient care in the healthcare sector.

Trends 121

Trends Artificial Inteligence IoT Energy 121

CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

Generative AI 157

Generative AI Technical Advisors Insurance Weak Development Team 157

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 165

Analytics Artificial Inteligence Machine Learning AWS 165

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

DECEMBER 10, 2024

This data engineering step is critical because it sets up the formal process through which analytics tools will continue to be informed even as the underlying models keep evolving over time. To learn more, visit us here. It requires the ability to break down silos between disparate data sets and keep data flowing in real-time.

Artificial Inteligence 172

Artificial Inteligence Off-The-Shelf Insurance Analytics 172

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

AWS Machine Learning - AI

APRIL 1, 2025

Using a client-server architecture, MCP enables developers to expose their data through lightweight MCP servers while building AI applications as MCP clients that connect to these servers. About the authors Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build generative AI solutions.

Generative AI 134

Generative AI AWS Artificial Inteligence Software Review 134

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 architecture enhances automated data processing, efficient retrieval, and seamless real-time access to insights.

Data 117

Data Generative AI Artificial Inteligence Compliance 117

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

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. The solution notes the logged actions per individual and provides suggested actions for the uploader.

Generative AI 111

Generative AI Video Engineering Artificial Inteligence 111

CIO

MARCH 20, 2025

And its modular architecture distributes tasks across multiple agents in parallel, increasing the speed and scalability of migrations. Instead of performing line-by-line migrations, it analyzes and understands the business context of code, increasing efficiency. The EXLerate.AI

Artificial Inteligence 139

Artificial Inteligence Enterprise Insurance Artificial Intelligence 139

CIO

MAY 5, 2025

Navigating the AI and machine learning journey will become an even bigger focus for IT leaders over the next year, according to three quarters of IT leader respondents. Outside of AI/ML, companies are directing more dollars to security and risk management technologies (34%) and data/business analytics (31%).

Generative AI 159

Generative AI Strategy Survey Artificial Inteligence 159

CIO

AUGUST 9, 2022

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. What is a data engineer? Data engineer job description.

Data Engineering 196

Data Engineering Analytics Engineering Data 196

TechCrunch

AUGUST 16, 2022

“It became clear that today’s data needs are incompatible with yesterday’s data center architecture. ” 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.

Data Center 208

Data Center Analytics Weak Development Team Data 208

Perficient

NOVEMBER 17, 2024

No single platform architecture can satisfy all the needs and use cases of large complex enterprises, so SAP partnered with a small handful of companies to enhance and enlarge the scope of their offering. Semantic Modeling Retaining relationships, hierarchies, and KPIs for analytics. What is SAP Datasphere? What is Databricks?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

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. The following diagram illustrates the Principal generative AI chatbot architecture with AWS services.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

TechCrunch

FEBRUARY 2, 2022

RudderStack , a platform that focuses on helping businesses build their customer data platforms to improve their analytics and marketing efforts, today announced that it has raised a $56 million Series B round led by Insight Partners, with previous investors Kleiner Perkins and S28 Capital also participating. Image Credits: RudderStack.

Data 204

Data Artificial Inteligence Machine Learning Architecture 204

AWS Machine Learning - AI

NOVEMBER 7, 2024

You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. A centralized service that exposes APIs for common prompt-chaining architectures to your tenants can accelerate development. As a result, building such a solution is often a significant undertaking for IT teams.

Generative AI 113

Generative AI AWS Artificial Inteligence Enterprise 113

AWS Machine Learning - AI

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

Generative AI 118

Generative AI Technical Review Software Review Systems Review 118

AWS Machine Learning - AI

OCTOBER 29, 2024

This post focused is on Amazon Bedrock, but it can be extended to broader machine learning operations (MLOps) workflows or integrated with other AWS services such as AWS Lambda or Amazon SageMaker. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

Generative AI 113

Generative AI Applications AWS Knowledge Base 113

Invid Group

MARCH 19, 2024

What Is Machine Learning Used For? By INVID With the rise of AI, the term “machine learning” has grown increasingly common in today’s digitally driven world, where it is frequently credited with being the impetus behind many technical breakthroughs. Let’s break it down.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Technical Review Artificial Intelligence 98

CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy. A unified data ecosystem enables this in real time.

Artificial Inteligence 218

Artificial Inteligence Artificial Intelligence Machine Learning Agile 218

AWS Machine Learning - AI

MARCH 20, 2025

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. This is powered by the web app portion of the architecture diagram (provided in the next section).

Generative AI 92

Generative AI Artificial Inteligence Metrics AWS 92

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 Generative AI Government 194

CIO

MARCH 13, 2025

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. Now the company is building its own internal program to train AI engineers.

Part-Time VPE 205

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

AWS Machine Learning - AI

NOVEMBER 20, 2024

The following diagram illustrates high level RAG architecture with dynamic metadata filtering. This architecture uses the power of tool use for intelligent metadata extraction from a user’s query, combined with the robust RAG capabilities of Amazon Bedrock Knowledge Bases. Finally, the generated response is returned to the user.

Artificial Inteligence 117

Artificial Inteligence Applications Knowledge Base Generative AI 117

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246