Praxent

AUGUST 3, 2021

Neocova offers fully secure AI-based and cloud-native data solutions for community banks and credit unions including multi-source unification, advanced business intelligence, predictive analytics, fraud detection, and regulatory compliance. Stay tuned to see all the great things we accomplish together!

Fintech 52

Fintech Banking Compliance Project Management 52

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Openxcell

OCTOBER 2, 2023

Helping clients with assessing and mitigating IT-related risks, consultants include: Vulnerabilities and threats in cybersecurity Challenges associated with regulatory compliance Concerns about data privacy and protection A company’s operations, reputation, and sensitive information are protected with effective risk management.

Technical Review 52

Technical Review Security Technology Weak Development Team 52

Sunflower Lab

MARCH 13, 2024

Core Features of Power BI for Supply Chain Analytics From seamless data connectivity to intuitive visualization capabilities and seamless integration with other Microsoft products, Power BI emerges as a vital asset in optimizing supply chain operations.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 52

Xebia

JANUARY 19, 2023

. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Tandem

AUGUST 9, 2023

Disconnect between business and IT, resulting in a lack of data culture Silos often form when people are left to find their own solutions, creating a lack of collaboration and introducing productivity barriers that hinder growth. They can help with cataloging data, maintaining metadata, ensuring data privacy compliance, and more.

Data 52

Data Culture Analysis Machine Learning 52

O'Reilly Media - Data

JULY 23, 2018

Executive Briefing: from Business to AI—missing pieces in becoming "AI ready ". Executive Briefing: Agile for Data Science teams. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Temporal data and time-series analytics".

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Data warehouse vs. data lake in a nutshell.

Architecture 52

Architecture Data Storage Machine Learning 52

Datavail

SEPTEMBER 28, 2022

Data-driven decision making is proving itself to be invaluable in almost every business vertical. The challenge is identifying the right data management/analytics approach that will allow your business to achieve successful data-driven decision making. Increasing business agility: 56%. Data warehouse and analytics.

Data 40

Data Business Intelligence Government Analytics 40

Hu's Place - HitachiVantara

JUNE 18, 2019

Scott Baker, posted a blog IDC: Object Storage More Than A One Trick Pony , which expanded on this IDC report and showed how our Object Storage platform, Hitachi Content Platform, HCP, evolved from a t rue archival compliance tool to one fine-tuned for Big Data analytics.

Storage 66

Storage Software Review Banking Technical Review 66

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

CTOvision

FEBRUARY 4, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data. Register here. 7:30 – 8:00 AM.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CIO

MARCH 7, 2023

Speed of delivery was the primary objective during the years leading into the pandemic, and CIOs looked to improve customer experiences and establish real-time analytics capabilities. Today, many CIOs must determine which agile tools to use and where to create practice standards.

Weak Development Team 362

Weak Development Team Technical Review Software Review SCRUM 362

RapidValue

APRIL 20, 2020

Some of the notable technologies and tools boosting the cloud-native model are microservices, containerization, Agile methodology, CI/CD and the like. . Leveraging the automation and scalable features of cloud computing, DevOps teams can drive innovation, achieve agility, resilience and increased business value.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

Datavail

MAY 18, 2022

Using data as the basis for a sound business intelligence (BI) strategy is considered today’s top organizational goal. Train the organization on all levels of corporate intelligence. Expect agility. Still, to do so, the organization must also appropriately harness its proprietary information. Contact an Expert ».

Strategy 52

Strategy Survey Metrics Enterprise 52

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data. Register here. 7:30 – 8:00 AM.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics.

Enterprise 130

Enterprise Applications Development Scalability 130

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Conclusion.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

TechCrunch

MARCH 10, 2022

It’s estimated that there are more than 1 billion people using Microsoft’s Excel in the world today, and a significant part of those are smaller-business people, and of those, 80% lean on the spreadsheet software to keep track of their finances. DataRails will continue to focus squarely on SMBs. billion market annually in the U.S.

Analytics 229

Analytics Tools Compliance Business Intelligence 229

Zensar

APRIL 1, 2019

Software Licensing: Every third-party software needs to be regularly monitored for compliance and licensing related issues. Missed Opportunities: With global digital disruption developing at a lightning pace, CIOs tend to lose valuable opportunities while being too focused on traditional business tactics.

Organization 53

Organization Artificial Inteligence Culture Artificial Intelligence 53

Altexsoft

APRIL 5, 2021

Unsuitable for on-demand or real-time analytics. ETL technologies are intended for the following use cases: Business Intelligence. Social media data, consumer information, and web analytics are common examples of marketing data that is moved by the ETL process for further analysis. Use Cases of ETL.

Company 78

Company Data Technical Review Analysis 78

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. It was deeply gratifying to see so many organizations deploying the tools and techniques of data science and advanced analytics to solve difficult and important problems.

Artificial Inteligence 44

Artificial Inteligence Data Machine Learning Pharmaceuticals 44

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

MARCH 16, 2023

Modern asset tracking systems allow business operators and managers to always be on top of their assets’ location, condition, maintenance status, and performance, having access to all collected data in centralized storage. Complicated compliance and insurance procedures. make reports, conduct analytics, etc.).

Technical Review 52

Technical Review Technology Software Review Systems Review 52

Sunflower Lab

APRIL 22, 2024

Did you know that between 60% to 73% of enterprise data remains unused for analytics, with the manufacturing industry being the biggest contributor to it? Power Up Your Business Intelligence with Power BI Turn complexity into clarity with our user-friendly Power BI solutions.

Energy 52

Energy Weak Development Team Analytics Analysis 52

Cloudera

JANUARY 21, 2021

But – you need those mission critical analytics services, and you need them now! . Waiting in line in the Central IT queue and risk getting behind in your business and losing out to competition as a result? You also do not want to risk your company-wide cloud consumption costs snowballing out of control. Must you be: .

Analytics 93

Analytics Storage Technical Review Virtualization 93

Modus Create

APRIL 13, 2022

This year, Team ’22 featured four primary themes: Agile & DevOps , ITSM , Teamwork Culture, and Open Work Management. Atlassian Analytics — Flexible Access & Data Visualization. This means you’ll be able to get insights from the Atlassian suite in your favorite analytics platform. . Data Residency & Compliance.

Conference 98

Conference Software Review Analytics Compliance 98

Cloudera

AUGUST 21, 2021

There is an urgent need for banks to be nimble and adaptable in the thick of a multitude of industry challenges, ranging from the maze of regulatory compliance, sophisticated criminal activities, rising customer expectations and competition from traditional banks and new digital entrants.

Industry 99

Industry Data Banking Analytics 99

Kaseya

NOVEMBER 9, 2023

Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more. Big data analytics: With enormous processing power and scalability, the cloud has revolutionized big data analytics.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Cloudera

OCTOBER 25, 2022

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Cloud 52

Cloud Data Firewall AWS 52

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49

Cloudera

DECEMBER 7, 2017

Cloud promises many advantages as an environment for machine learning and analytics. Cloud offers elasticity of those resources to efficiently support transient analytics workloads and data pipelines. Yet there is often a dark side to using public cloud service providers’ analytics offerings in the cloud, too.

Data 40

Data Machine Learning Artificial Inteligence Analytics 40

Hu's Place - HitachiVantara

APRIL 12, 2018

The key requirements for Data Center Modernization are an agile data infrastructure that is cloud aware and container integrated, data governance which ensures that data is continuously available and adheres to compliance objectives, operation intelligence to provide deeper insights, and automation to optimize and accelerate innovation.

Data Center 40

Data Center Storage Data Compliance 40

Flexagon

FEBRUARY 7, 2023

And while EBS can handle a large global business’s diverse needs, that very complexity makes maintenance and development a challenge. Newer features for analytics and business intelligence add to the mix. This could affect employees and customers, or interfere with business operations.

DevOps 78

DevOps Software Review Testing Continuous Integration 78

Praxent

OCTOBER 12, 2021

In a recent FSI Member Spotlight, Praxent had the opportunity to meet with Matt Beecher, CEO at Neocova, an AI-based and cloud-native data solution for community banks and credit unions that includes multi-source unification, advanced business intelligence, predictive analytics, fraud detection, and regulatory compliance.

Banking 52

Banking Off-The-Shelf Fintech Artificial Inteligence 52