CIO

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.

Trends 158

Trends Innovation IoT Disaster Recovery 158

CIO

JANUARY 30, 2025

The evolution of cloud-first strategies, real-time integration and AI-driven automation has set a new benchmark for data systems and heightened concerns over data privacy, regulatory compliance and ethical AI governance demand advanced solutions that are both robust and adaptive. This reduces manual errors and accelerates insights.

Scalability 169

Scalability Government Trends Artificial Inteligence 169

CIO

JANUARY 1, 2025

The successful execution of AerCaps growth through acquisition strategy involved many moving parts, among them merging two IT departments, a process that has plagued other high profile M&A projects in the past. Business strategy must drive IT decision making Business-first pragmatism is the key to understanding what makes Koletzki tick.

Strategy 152

Strategy Azure Technical Review Systems Review 152

CIO

NOVEMBER 27, 2024

For some, it might be implementing a custom chatbot, or personalized recommendations built on advanced analytics and pushed out through a mobile app to customers. Ensuring these elements are at the forefront of your data strategy is essential to harnessing AI’s power responsibly and sustainably.

Artificial Inteligence 199

Artificial Inteligence Artificial Intelligence Government Compliance 199

CIO

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLennan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. 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

MAY 23, 2024

Simple BI tools are no longer capable of handling this huge volume and variety of data, so more advanced analytical tools and algorithms are required to get the kind of meaningful, actionable insights that businesses need. In response to this challenge, vendors have begun offering Machine Learning as a Service (MLaaS).

Artificial Inteligence 167

Artificial Inteligence Machine Learning Artificial Intelligence Analytics 167

CIO

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLellan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. 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

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. Data sovereignty and local cloud infrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC.

Trends 122

Trends Artificial Inteligence IoT Energy 122

TechCrunch

MAY 9, 2022

Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. The big data and business analytics market could be worth $684 billion by 2030, according to Valuates Reports, if such outrageously high estimates are to be believed.

Analytics 215

Analytics Business Intelligence Software Review Business Analytics 215

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. The choice of vendors should align with the broader cloud or on-premises strategy.

Data 167

Data Technical Review Software Review Weak Development Team 167

CIO

OCTOBER 24, 2024

Forrester also recently predicted that 2025 would see a shift in AI strategies , away from experimentation and toward near-term bottom-line gains. The company also plans to increase spending on cybersecurity tools and personnel, he adds, and it will focus more resources on advanced analytics, data management, and storage solutions.

Data Center 200

Data Center Artificial Inteligence Generative AI Artificial Intelligence 200

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 Machine Learning Artificial Inteligence 195

CIO

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Features such as synthetic data creation can further enhance your data strategy. Opt for platforms that can be deployed within a few months, with easily integrated AI and machine learning capabilities.

Enterprise 158

Enterprise Data Insurance Business Intelligence 158

TechCrunch

DECEMBER 21, 2022

Today, technologies such as artificial intelligence (AI) and machine learning (ML) are being applied across multiple departments and are helping teams work in synergy at a faster pace. So, I’ve put together three main strategies to put you on the path to fully digitizing your business and noticeably improve the closing process.

Artificial Inteligence 228

Artificial Inteligence Strategy Technical Review How To 228

CIO

DECEMBER 20, 2024

AI and machine learning models. Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. Application programming interfaces.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

CIO

NOVEMBER 4, 2024

research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Nutanix commissioned U.K.

Infrastructure 193

Infrastructure Marketing Data Artificial Inteligence 193

N2Growth Blog

DECEMBER 4, 2024

CMOs are now at the forefront of crafting holistic customer experiences, leveraging data analytics to gain insights into consumer behavior, and developing strategies that drive engagement across multiple channels. Enhancing decision-making comes from combining insights from marketing analytics and digital data to make informed choices.

Digital Marketing 138

Digital Marketing Marketing Artificial Inteligence Culture 138

TechCrunch

JULY 20, 2022

That’s one of the reasons Jonathan Cherki founded Contentsquare , a platform that allows businesses to track online customer behavior to inform digital strategies. Contentsquare remains focused on its original bread and butter, which is to say web and app analytics. In the U.S.

Analytics 235

Analytics Technical Review Artificial Inteligence Nonprofit 235

CIO

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Trends 218

Trends Strategy Enterprise Data 218

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 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

CIO

JUNE 10, 2024

Moreover, many need deeper AI-related skills, too, such as for building machine learning models to serve niche business requirements. Staffing strategies emerge Despite the continuously tight labor market and complexity of the task, Napoli believes he has Guardian Life’s AI talent strategy under control.

Artificial Inteligence 204

Artificial Inteligence Strategy Machine Learning Training 204

CIO

SEPTEMBER 26, 2023

Monterrey region to provide Telmex value-added services The new region in Mexico, in Monterrey, is part of Oracle’s distributed cloud strategy, under which the company provides a managed open source database service available across multiple clouds for transaction processing, analytics , and machine learning workloads.

Cloud 217

Cloud Strategy Generative AI Data Center 217

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

TechCrunch

DECEMBER 13, 2022

Dataiku — which sells tools to help customers build, test and deploy AI and analytics applications — has managed to avoid major layoffs, unlike competitors such as DataRobot. ” Dataiku, which launched in Paris in 2013, competes with a number of companies for dominance in the AI and big data analytics space.

Analytics 191

Analytics Big Data Machine Learning Artificial Inteligence 191

CIO

SEPTEMBER 10, 2024

Fusion Data Intelligence, which is an updated avatar of Fusion Analytics Warehouse, combines enterprise data, and ready-to-use analytics along with prebuilt AI and machine learning models to deliver business intelligence. However, it didn’t divulge further details on these new AI and machine learning features.

Development 214

Development Data Machine Learning Artificial Inteligence 214

TechCrunch

AUGUST 5, 2021

The platform lets companies design and deploy AI and analytics apps, turn raw data into advanced analytics and design machine learning models. Founded in 2013, Dataiku is used by data scientists, but also designed for business analysts and other people with less technical backgrounds.

Artificial Inteligence 250

Artificial Inteligence Machine Learning B2B Analytics 250

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.

Artificial Inteligence 194

Artificial Inteligence Artificial Intelligence Government Generative AI 194

CIO

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Strategy 174

Strategy Technical Review Data Software Review 174

Newgen Software

JANUARY 16, 2025

It enables insurance companies to process claims faster, reduce manual errors, and enhance customer experiences through predictive analytics and personalized services Financial Services: In banking and finance, AI workflow automation supports fraud detection, streamlines document processing, and optimizes customer service.

Strategy 64

Strategy Insurance Systems Review Healthcare 64

CIO

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Computer vision, AI, and machine learning (ML) all now play a role.

Sport 177

Sport Games Analytics Artificial Inteligence 177

CIO

OCTOBER 14, 2024

“These CIOs might not prioritize aligning technology investments with customer needs, creating a common framework and language for discussing and prioritizing digital strategies, or developing a clear strategy for navigating the complexities of digital transformation,” Sebastian says.

Technical Review 197

Technical Review Innovation Survey Systems Review 197

TechCrunch

FEBRUARY 11, 2022

Agot AI is using machine learning to develop computer vision technology, initially targeting the quick-serve restaurant (QSR) industry, so those types of errors can be avoided. Gavin Felder, chief strategy officer at Yum! billion by 2025. How to choose and deploy industry-specific AI models.

Artificial Inteligence 311

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 311

CIO

MARCH 11, 2025

A successful agentic AI strategy starts with a clear definition of what the AI agents are meant to achieve, says Prashant Kelker, chief strategy officer and a partner at global technology research and IT advisory firm ISG. Its essential to align the AIs objectives with the broader business goals.

How To 191

How To Systems Review Technical Review Software Review 191

Hacker Earth Developers Blog

JANUARY 18, 2023

The latter’s expanse is wide and complex – from simpler tasks like data entry, to intermediate ones like analysis, visualization, and insights, and to the more advanced machine learning models and AI algorithms. It is also useful to learn additional languages and frameworks such as SQL, Julia, or TensorFlow.

Technical Review 264

Technical Review Artificial Inteligence Data Recruiting 264

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. Sound familiar?) It isn’t easy.

Artificial Inteligence 218

Artificial Inteligence Artificial Intelligence Machine Learning Agile 218

N2Growth Blog

OCTOBER 23, 2023

A solid grasp of the latest advancements across biotechnology, pharmaceuticals, and medical devices is essential in driving innovations and the ability to synthesize information and translate it into actionable strategies quickly. This ability to bridge the gap between science and strategy is crucial in such a highly dynamic space.

Biotech 178

Biotech Strategy Artificial Inteligence Recruiting 178

CIO

APRIL 2, 2025

The spectrum is broad, ranging from process automation using machine learning models to setting up chatbots and performing complex analyses using deep learning methods. Strategy development and consulting. These include: Analytical and structured thinking. Communication.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120