CIO

FEBRUARY 28, 2024

Flexibility, Scalability, and Implementation Challenges The flexibility and scalability of SD-WAN are underscored as crucial benefits for organizations embarking on digital transformation journeys. SD-WAN facilitates a cloud-first strategy by providing the necessary infrastructure agility and compliance with cloud requirements.

WAN 236

WAN Technical Review Strategic Planning Scalability 236

Newgen Software

MAY 13, 2024

Legacy platforms often hinder innovation, increase complexity, impede collaboration, and limit scalability, prompting enterprises to seek more agile and future-proof solutions. Traditional ECM systems , once the cornerstone of content management, are now struggling to keep up with the dynamic needs of modern businesses.

Enterprise 52

Enterprise Strategy Technical Review Microservices 52

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CIO

FEBRUARY 28, 2024

Cloud by default doesn’t cut it Before Mobicule started working with NTT DATA, they had already sourced cloud services from a large hyperscaler and were doing development in the cloud. In financial services , security and compliance are as important as reliability and responsiveness.

Cloud 227

Cloud Microservices Banking Agile 227

CIO

FEBRUARY 7, 2024

As enablers for the integration of data and business services across platforms, APIs are very aligned with current tech trends,” says Antonio Vázquez, CIO of software company Bizagi. Ajay Sabhlok, CIO and CDO at zero trust data security company Rubrik, Inc.,

Technical Review 306

Technical Review Government Artificial Inteligence Software Review 306

CIO

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity. But more data means more data movement.

Generative AI 223

Generative AI Storage Scalability Artificial Intelligence 223

The Crazy Programmer

FEBRUARY 3, 2024

As value-based care and preventative health continue gaining momentum, healthcare providers need agile tools to manage population health, enable precision medicine, and meet stringent regulatory compliance requirements. Custom software connects previously disconnected systems to eliminate duplicative data entry and paperwork.

Healthcare 130

Healthcare Software Off-The-Shelf Compliance 130

CIO

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

Artificial Inteligence 355

Artificial Inteligence Generative AI Software Review Development Team Review 355

CIO

JULY 28, 2023

There is an explosion of personal data about what we buy, where we go, and what we watch. We trust the custodians of our data to ensure it is not breached or used irresponsibly. But not all organizations that store and process sensitive customer data are fully aware that a chink in infrastructure can break our digital trust.

Infrastructure 210

Infrastructure Enterprise Cloud Sustainability 210

CIO

NOVEMBER 14, 2023

If you ask someone, they’ll often recite a list of a dozen potential benefits of cloud — lower costs, better security, greater agility, and so on,” says Smith. IT leaders at the 60-year-old fleet management firm determined that cloud could support its rapid growth without the challenges of maintaining data centers.

Strategy 354

Strategy Cloud Weak Development Team Technical Review 354

Perficient

DECEMBER 13, 2023

Major Challenges Complex and huge volumes of data pose major challenges, a few of which are as follows: Data Sourcing Complexity Collating data from disparate sources like Pharmacy systems, Healthcare providers, Insurance claims, Patient records, and Clinical trials is a formidable task.

Healthcare 52

Healthcare AWS Lambda Data 52

CIO

OCTOBER 13, 2022

In due course of time, this app will gather a lot of patient (demographic) data that can be leveraged to offer new promotional features (discounts, for instance) or enhanced services,” he says. “If Deploy scalable technology. From ERP implementation to application building, CIOs swear by scalable technology.

UI/UX 319

UI/UX Technical Review Minimum Viable Product Scalability 319

CIO

APRIL 20, 2023

IT leaders are prioritizing models that are more agile, efficient, and intelligent, allowing them to respond to market changes quickly. The right model facilitates the adoption of new technologies on cloud, provides a framework for collaboration between teams seamlessly, and supports continuous refinements in an agile manner.

Retail 206

Retail Cloud Apparel Artificial Intelligence 206

OTS Solutions

OCTOBER 27, 2023

By implementing the right cloud solutions, businesses can reduce their capital expenditure on physical infrastructure, improve scalability and flexibility, enhance collaboration and communication, and enhance data security and disaster recovery capabilities.

Technical Review 147

Technical Review Cloud Company Disaster Recovery 147

CIO

NOVEMBER 29, 2023

Platform lock-in occurs when you have a complete cloud foundation configuration (resource grouping, policies, RBAC, hybrid connectivity, monitoring, compliance, etc.) Pablo Del Giudice, cloudops and cybersecurity studio partner, Globant Globant Data requirements is another area that needs careful planning.

Cloud 300

Cloud Technical Review Software Review Systems Review 300

CIO

DECEMBER 6, 2023

These challenges include: Data security and privacy: The critical issue of safeguarding data as it moves and interacts within the orchestrated system cannot be overstated. Scalability: As a business expands, the orchestration framework must be designed to scale, accommodating a growing array of LLMs and data flows.

Artificial Inteligence 287

Artificial Inteligence Generative AI Enterprise Scalability 287

CIO

JUNE 20, 2023

To achieve these goals, IT and business executives must manage challenges across data governance, security, and compliance to protect sensitive customer, citizen, and country data using privacy, access, and security controls. Data has become both a business and national asset.

Technical Review 174

Technical Review Technology Cloud Compliance 174

OTS Solutions

JUNE 16, 2023

App modernization helps businesses to update their existing software into more progressive, scalable, and productive software. Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Xebia

MARCH 10, 2021

Many organisations have a new ambition to become a data-driven organisation. In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. Data & Analytics as a separate business domain.

DevOps 130

DevOps Data Analytics Policies 130

OTS Solutions

JUNE 16, 2023

App modernization helps businesses to update their existing software into more progressive, scalable, and productive software. Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

CIO

AUGUST 29, 2022

Software modernization is an imperative for many organizations, including Broadcom Software , because existing applications and other technologies might be incompatible with today’s flexible and agile open-system platforms, which can empower companies to quickly and more easily pivot to new business models and scale to meet demand.

Software 198

Software Course Scalability DevOps 198

Cloudera

JUNE 22, 2023

These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change. The top-line benefits of a hybrid data platform include: Cost efficiency. Simplified compliance. Flexibility.

Technical Review 65

Technical Review Data Open Source Systems Review 65

CIO

SEPTEMBER 14, 2022

To cater for continued flux, growth, scalability, security, and cost control. All of that before we even think about managing data. A migration in the IT context can be defined as a change in location of application systems or moving data from one environment to another. I’d like to widen the migration pool here.

Cloud 236

Cloud Infrastructure Scalability Applications 236

Perficient

APRIL 17, 2024

With the help of this extension, robots can communicate with websites in the same manner as people do—they can provide data, extract information, and initiate activities. This connection enables data interchange and element manipulation. Firefox : Used to automate Firefox web sites and applications.

Windows 105

Windows Compliance Scalability Applications 105

Trigent

FEBRUARY 9, 2023

In today’s fast-paced business landscape, automation is becoming a critical tool for organizations looking to remain agile. Finally, you will better understand why intelligent automation is the key to unlocking business efficiency and agility. The algorithms in ML process data and make informed decisions.

Agile 52

Agile Artificial Inteligence Artificial Intelligence Technical Review 52

Trigent

FEBRUARY 9, 2023

In today’s fast-paced business landscape, automation is becoming a critical tool for organizations looking to remain agile. Finally, you will better understand why intelligent automation is the key to unlocking business efficiency and agility. The algorithms in ML process data and make informed decisions.

Artificial Inteligence 52

Artificial Inteligence Agile Artificial Intelligence Technical Review 52

CIO

MARCH 20, 2023

By Serge Lucio, Vice President and General Manager, Agile Operations Division This is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Traditional enterprise wide area networks, or WANs were designed primarily to connect remote branch offices directly to the data center.

Network 243

Network WAN Data Center Metrics 243

CIO

MARCH 13, 2023

Modernization efforts, if not planned and managed carefully, can conflict with compliance demands. With the added challenge for IT leaders in the highly regulated financial services industry is that data security and business resiliency are unassailable business objectives. “They need to move quickly, and at scale.” Cloud Computing

Banking 130

Banking Artificial Inteligence Cloud AWS 130

CIO

OCTOBER 3, 2023

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data.

Artificial Inteligence 277

Artificial Inteligence Artificial Intelligence Machine Learning Analysis 277

Mentormate

NOVEMBER 30, 2021

In the two decades since its introduction, the Agile methodology and its core idea of minimum viable product have risen to prominence in software development. These are compatible approaches that can yield products with better traction, higher value, and greater long-term results than Agile alone. The Agile Revolution.

Agile 98

Agile Minimum Viable Product UI/UX Budget 98

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. End-to-end Data Lifecycle. Shared Data Experience (SDX).

Technical Review 87

Technical Review Marketing Technology Data 87

KitelyTech

FEBRUARY 28, 2023

Cloud computing offers a range of advantages such as scalability, cost savings, and increased agility. It enables banks to store data securely and access it remotely from any location at any time. As banks store their customers’ sensitive data on cloud systems, there is a risk of data breaches and other malicious attacks.

Banking 104

Banking Cloud Compliance Scalability 104

Perficient

MARCH 15, 2024

Additionally, data federation and generative AI play important roles in enhancing the adaptability of modern architectural frameworks. We believe this aligns closely with Perficient’s expertise in cloud transformation, where we empower organizations to leverage the cloud as a foundation for agility and innovation.

Government 59

Government Report Artificial Inteligence Applications 59

Firemon

AUGUST 20, 2020

This is part 1 of a 4-part series addressing compliance myths and what you need to know about uniting compliance and security in a hybrid environment. People are confused about what compliance really is. Yet some businesses still think that if they can tick every box in a compliance checklist, they are secure.

Compliance 59

Compliance Network Firewall Disaster Recovery 59

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure. Why are DevOps and Digital Engineering Important?

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure. Why are DevOps and Digital Engineering Important?

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Prisma Clud

MARCH 20, 2024

CIEM has become essential for organizations looking to optimize their cloud operations, enhance their security posture and ensure compliance with regulations. Prisma Cloud analyzes misconfigurations, vulnerabilities, public exposures, excessive permissions, exposed secrets, sensitive data, incidents, and more.

Compliance 59

Compliance Infrastructure Cloud Policies 59