Luis Goncalves

APRIL 11, 2025

This isn’t merely about hiring more salespeopleit’s about creating scalable systems efficiently converting prospects into customers. Agility: Adapting to Market Changes The ability to pivot quickly in response to market feedback is critical when scaling startups. Discover how to maintain agility while scaling 4.

Weak Development Team 165

Weak Development Team Technical Review Sustainability Systems Review 165

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 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

MAY 1, 2025

For domain-centric solutions such as in the banking or energy sector, SLM is the way to go for agility, cost-effective resources, rapid prototype and development, security, and privacy of organizational data, Kasthuri says. Microsofts Phi, and Googles Gemma SLMs.

Artificial Inteligence 168

Artificial Inteligence Airlines Healthcare Firewall 168

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

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

OCTOBER 18, 2023

To do so, the team had to overcome three major challenges: scalability, quality and proactive monitoring, and accuracy. The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

MARCH 26, 2025

He says, My role evolved beyond IT when leadership recognized that platform scalability, AI-driven matchmaking, personalized recommendations, and data-driven insights were crucial for business success. CIOs own the gold mine of data Leverage analytics to turn your insights into financial intelligence, thus making tech a profit enabler.

Real Estate 159

Real Estate Leadership Study Technology 159

Cloudera

MAY 3, 2021

Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. In the last five years, there has been a meaningful investment in both Edge hardware compute power and software analytical capabilities. Let’s start at the place where much of Industry’s 4.0

Scalability 103

Scalability Agile Data Systems Review 103

CIO

OCTOBER 29, 2024

They needed a solution that could not only standardize their operations but also provide the scalability and flexibility required to meet the diverse needs of their global client base. Avaya’s solutions also empowered Atento to infuse new levels of agility and efficiency into their operations.

Strategic Planning 103

Strategic Planning Analytics Scalability Innovation 103

Xebia

OCTOBER 30, 2024

In September, we organized the 11th edition of the Analytics Engineering Meetup. Jan Boerlage and Aletta Tordai showcased Sligro’s digital transformation through a scalable cloud-based data platform, illustrating the impact of cloud solutions on business agility and decision-making. You can check it out here.

Data 130

Data Artificial Inteligence Analytics Insurance 130

Cloudera

JANUARY 7, 2025

This will allow companies to deploy workloads in environments where they are best placed, balancing on-prem and cloud advantages to maintain agility and meet evolving business demands. This transition streamlined data analytics workflows to accommodate significant growth in data volumes.

Cloud 82

Cloud Data Scalability Compliance 82

CIO

APRIL 21, 2025

We also wanted to invest in a new data analytics platform, and now we [will] scale back and look for a more affordable option, he says. Freddie Tubbs, CIO, Academized.com Academized.com IT is using more analytics to understand how supply chain changes could impact the company. It helps us make faster and smarter decisions.

Technical Review 124

Technical Review Systems Review Budget Banking 124

AWS Machine Learning - AI

MARCH 20, 2025

With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible. Amazon Bedrock Data Automation automates video, image, and audio analysis, making DAM more scalable, efficient and intelligent.

Data 117

Data Generative AI Artificial Inteligence Compliance 117

CIO

MARCH 26, 2025

Namrita offers a useful insight In todays boardrooms, digital tools like AI, IoT, automation, and predictive analytics are dominating technology conversations, creating new avenues for value by heralding new, disruptive business models. Namrita prioritizes agility as a virtue.

CTO Coach 99

CTO Coach Technical Advisors IoT Sustainability 99

Datavail

SEPTEMBER 1, 2021

Should you move your data analytics to the cloud? What Do You Want from Your Data Analytics? We’ve done research on this question, and we’ve found that there are a variety of things businesses want: Self-service data exploration and discovery-oriented forms of advanced analytics. Scalability. Quick and Agile Systems.

Analytics 97

Analytics Cloud Technical Review Data 97

CIO

OCTOBER 1, 2022

We do that by leveraging data, AI, and automation with agility and scale across all dimensions of our business, accelerating innovation and increasing productivity in everything we do.”. These things have not been done at this scale in the manufacturing space to date, he says. P&G can now better predict finished paper towel sheet lengths.

Artificial Inteligence 218

Artificial Inteligence Azure IoT Analytics 218

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Scalability 94

Scalability Data Technical Review Analytics 94

TechCrunch

DECEMBER 10, 2021

and analytical background related to data,” as well as the consulting expertise for startups that he provides. Furthermore, we both had seen firsthand how terrifyingly crippling waterfall and broken agile could be for the progress of a project. Do you have any thoughts on fake agile versus real agile?

Weak Development Team 255

Weak Development Team Software Development Software Review Fractional CTO 255

CIO

MARCH 11, 2025

Without an advanced, scalable network strategy, CIOs risk falling behind in the next wave of innovation. Enterprises that lack an agile, intelligent network will struggle to compete. And as technologies like AI and mixed reality improve, the central role of the network only grows. on average.

Network 117

Network WAN Infrastructure ChatGPT 117

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 92

Generative AI Artificial Inteligence Metrics AWS 92

CIO

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. It is also about adopting a new development environment that contains pre-fab services that are available to your agile teams. . Modern delivery.

Leadership 218

Leadership SDLC IoT Machine Learning 218

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better.

Analytics 95

Analytics Retail Architecture Government 95

TechCrunch

FEBRUARY 7, 2022

In the current environment, businesses are now tasked with balancing the push toward recovery and developing the agility required to stay on top of reemerging COVID-19 obstacles. Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

CIO

MAY 29, 2024

Accenture needed a more agile, scalable, and innovative platform to support its dynamic and diverse business needs. Large enterprises often have expansive landscapes, with legacy systems that stand in the way of speed, agility, and innovation.”

Cloud 190

Cloud Agile Innovation Enterprise 190

CIO

AUGUST 11, 2022

However, the speed of this level of adoption has created a whole new issue for digital experience professionals from experience scalability and long-term management point of view. In short, marketers can create smarter, faster customer experiences that lead to a much more informed and agile brand overall.

Marketing 157

Marketing Cloud Scalability Agile 157

Perficient

APRIL 16, 2025

Key AI Features in Sitecore From Content Hub to XM Cloud, products in Sitecores portfolio have embedded AI that provides speed and scalability to personalization. Augmented Analytics: AI improves the analysis of consumer data by detecting trends and patterns that support improved decision-making.

Machine Learning 52

Machine Learning Artificial Inteligence Analytics Media 52

CIO

DECEMBER 22, 2023

Cloud software engineer Cloud software engineers are tasked with developing and maintaining software applications that run on cloud platforms, ensuring they are built to be scalable, reliable, and agile. Role growth: 19% of companies have added cloud software engineer roles as part of their cloud investments.

Cloud 195

Cloud Company Disaster Recovery Software Engineering 195

Cloudera

MAY 30, 2024

These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. With an open data lakehouse powered by Apache Iceberg, businesses can better tap into the power of analytics and AI. Cloudera customers run some of the biggest data lakes on earth.

Analytics 74

Analytics Data Machine Learning Artificial Inteligence 74

CIO

DECEMBER 20, 2022

In this article, discover how HPE GreenLake for EHR can help healthcare organizations simplify and overcome common challenges to achieve a more cost-effective, scalable, and sustainable solution. Greater agility to embrace innovation and disruption and respond quickly to business opportunities.

Healthcare 202

Healthcare Disaster Recovery Organization Artificial Inteligence 202

AWS Machine Learning - AI

MARCH 7, 2025

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks. Connect with him on LinkedIn. Tarik Makota is a Sr.

Generative AI 101

Generative AI Technical Review Insurance Policies 101

CIO

JULY 18, 2024

This limits both time and cost while increasing productivity, allowing employees to make stronger analytical decisions. Outdated integrations Modern data integration approaches can save IT teams a good deal of money and frustration while providing greater security and improved agility. These issues add up and lead to unreliability.

Cloud 167

Cloud Data Storage eBook 167

Newgen Software

JANUARY 16, 2025

That is where AI-powered workflow automation has emerged as a game-changer for organizations, paving the way for greater efficiency and agility. Its no longer about automating routine tasksits about redefining how work gets done. What is Workflow Automation?

Strategy 64

Strategy Insurance Systems Review Healthcare 64

CIO

MAY 9, 2023

When Diminishing Returns Become Budget Busters For years enterprises scrambled to build applications in public cloud environments; there was legitimate business value in rapid innovation, deployment and scalability, as well as unfettered access to more geographical regions.

Cloud 190

Cloud KPI Government Scalability 190

CIO

AUGUST 23, 2022

Post pandemic trends have accelerated the need for agility in IT, network procurement, and management. With a majority of employees splitting their time between the home office and workplace, managing and securing the enterprise inside and outside its boundaries in a flexible and scalable manner is a priority. .

Artificial Inteligence 158

Artificial Inteligence Technical Review Artificial Intelligence Network 158

CIO

OCTOBER 18, 2023

For instance, the company completed its conversion to a 100% Agile company in 2019, an achievement that reinforced its commitment to clients. So as a fundamental part of its goal to be data-driven, for example, the company is in the midst of implementing a platform that can host all analytical capabilities.

Company 192

Company Artificial Inteligence Insurance Technical Review 192

CIO

FEBRUARY 5, 2024

By processing data at the edge and augmenting it with AI inferencing, organizations can achieve unprecedented speed, efficiency and agility. Healthcare monitoring: Edge AI facilitates remote patient monitoring, predictive analytics and faster diagnostics, revolutionizing healthcare delivery and patient care.

Scalability 187

Scalability Healthcare Artificial Inteligence Artificial Intelligence 187