Capgemini

JUNE 3, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. In part one of this blog, I explained the cost of legacy systems.

Infrastructure 52

Infrastructure Data Retail Analytics 52

CTOvision

FEBRUARY 17, 2015

of their open data platform including new features which will be of high interest to any enterprise with data (all enterprises!). From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Enterprise Cloud Analytics with Amazon Redshift. “We Pentaho 5.3:

Big Data 109

Big Data Analytics AWS Data 109

Cloudera

NOVEMBER 24, 2020

This year, OVO has done just that, setting itself apart to win the Data Champions category at our 2020 Data Impact Awards. This category recognizes organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed.

Data 71

Data Agile Banking Machine Learning 71

The Agile Monkey

MARCH 14, 2023

Event-driven machine learning will enable a new generation of businesses that will be able to make incredibly thoughtful decisions faster than ever, but is your data ready to take advantage of it? And the key differentiation factor is going to be the amount and quality of their data.

Artificial Inteligence 98

Artificial Inteligence System Software Machine Learning 98

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. The introduction of Pentaho Business Analytics 5.0

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

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

Cloudera

OCTOBER 28, 2020

By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data.

Data 68

Data Analytics Banking Machine Learning 68

CTOvision

JANUARY 26, 2015

Dive Into The Pentaho Agile Business Analytics & Data Integration Platform in Action. This brief product demo will show why more and more organizations of all sizes are turning to Pentaho to seamlessly deliver deep BI insights, quickly connect to any data source, & unlock the full potential of big data.

Big Data 103

Big Data Business Analytics Analytics Agile 103

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud? Aggregate data from multiple devices in one place.

IoT 45

IoT Cloud Data Analytics 45

CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

Big Data 91

Big Data Data Business Intelligence Analytics 91

Apps Associates

AUGUST 3, 2023

When RPA is combined with the power of Artificial Intelligence (AI), which can process vast quantities of data in the blink of an eye, Life Science companies are able to further push the boundaries of what’s possible. Automation has the ability to reduce costs, boost productivity, and enhance quality control for Life Science organizations.

Enterprise 52

Enterprise Pharmaceuticals Artificial Intelligence Artificial Inteligence 52

Newgen Software

FEBRUARY 7, 2024

As per the latest mandate, FIs need to take into consideration historical data, present condition, and future economic scenario to arrive at ALLL (Allowance for Loan and Lease Losses). That’s a massive amount of data to be collected and to add to it, the provision for ALLL needs to be made at the very outset a loan is booked!

Compliance 52

Compliance Banking USP Analytics 52

O'Reilly Media - Data

JULY 23, 2018

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Along the way, I’ll highlight key sections of the upcoming Strata Data conference in New York this September. Managing data science in the enterprise.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

Newgen Software

JANUARY 16, 2019

Related posts: Actionable Insights from Big Data using ECM. Dynamic Case Management – A Fusion of BPM, ECM and Business Analytics. Big Data for Government Agencies. Why Enterprises Are Adopting Intelligent Business Process Management Software. Process Exceptions – Superhero or Bad Guy?

Big Data 40

Big Data Business Analytics Healthcare Analytics 40

Cloudera

JANUARY 14, 2021

Maximizing Supply Chain Agility through the “Last Mile” Commitment. They are armed with more knowledge than ever before, as a result, four strategic pillars have emerged that have resulted as leading retailers and brands have deployed a data-centric strategy enabling a customer-first approach.

Retail 68

Retail Agile Storage Analytics 68

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.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Newgen Software

JANUARY 2, 2024

From entering orders to documenting account reconciliations to extracting and processing content from multiple data formats, to creating purchase requisitions, to onboarding new employees, to managing customer service requests, RPA software takes the charge of the back office and front office processes.

Software Review 52

Software Review Systems Review Technical Review Artificial Inteligence 52

Cloudera

OCTOBER 21, 2020

Their models, data, and systems, curated for decades or centuries and fiercely protected, simply did not and could not factor in how a global pandemic would affect their customers. Another example can be found in health insurance, when evaluating the long-term health effects of COVID-19, based on limited, changing data. . Health data.

Insurance 71

Insurance Industry Cloud Analytics 71

Altexsoft

JUNE 26, 2019

Test scenarios are written to validate that the system is usable, checking the end-to-end operations with real data. To cover all the common use-cases, test scenarios can be approved by the product owners, business analysts, or real users. These accumulate documented output data when the test is completed. Test scenarios.

Quality Assurance 85

Quality Assurance Testing Software Review Technical Review 85

Zensar

FEBRUARY 14, 2020

SAP S/4HANA or SAP Business Suite 4 SAP HANA is the fourth version of the SAP Business Suite, which runs exclusively on SAP HANA. Factually speaking, migrating to S/4 HANA is inevitable eventually, though it does offer a lot of promise in terms of process optimization and leveraging real-time data for business analytics.

Analytics 40

Analytics Agile Business Analytics Research 40

Cloudera

DECEMBER 17, 2020

In 2020, where connected consumers and the turmoil with the pandemic driven supply chains are driving more and more of retail’s response, at Cloudera we believe that the underlying foundation to retail’s success is based upon real-time and streaming data from retail’s edge – the retail store. .

Retail 57

Retail Apparel Analytics Enterprise 57

Cloudera

APRIL 5, 2021

In addition to CDP Public Cloud, we launched CDP Private Cloud which offers the benefits of a public cloud architecture — autoscaling, isolation, agile provisioning — in an on-premise environment. We’re also focused on making it easy for partners to engage with us and build solutions on our platform.

Programming 56

Programming Cloud Agile Architecture 56

Cloudera

APRIL 7, 2021

Finally, the connected car, connected home, and connected self are generating an enormous amount of data. With appropriate permissions and privacy controls, such data can have a transformative effect on a carrier’s ability to understand its customers — provided that it’s able to access and utilize that data. Data Monetization.

Insurance 57

Insurance Analytics Exercises IoT 57

Cloudera

FEBRUARY 24, 2021

Deloitte emphasizes that going forward, financial services will need to have “greater focus on agility and efficiency, flattening hierarchies, speeding up decision-making, empowering staff, creating flexible work environments.” Trend #3: Fighting Fraud with Data and Machine Learning.

Artificial Inteligence 58

Artificial Inteligence Trends Industry Artificial Intelligence 58

CTOvision

FEBRUARY 4, 2015

The Cloudera Federal Forum, now in its 4th year, has always been filled with lessons learned, best practices and informative glimpses into what is coming from the big data tech community. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Perficient

FEBRUARY 22, 2024

A common symptom of organizations operating at suboptimal performance is when there is a prevalent challenge of dealing with data fragmentation. The fact that enterprise data is siloed within disparate business and operational systems is not the crux to resolve, since there will always be multiple systems.

Virtualization 52

Virtualization Enterprise Data Analytics 52

Sunflower Lab

MARCH 20, 2024

The modern business world has abundant data, yet interpreting its hidden stories goes beyond analytics. It calls for robust visualization tools, data science and BI tools that not only show data but reveal clear patterns and insights to you through data analytics.

Analysis 52

Analysis Data Analytics Business Intelligence 52

Cutter Consortium

AUGUST 28, 2018

Masha Sand, a Cutter Consortium Senior Consultant whose expertise is in digital strategy, product management, operations leadership, and business analytics, recommends three questions organizations should consider when upgrading or revamping their customer service approaches: What value does a customer get from each interaction?

Analytics 52

Analytics Games Mobile Strategy 52

Hu's Place - HitachiVantara

AUGUST 13, 2018

He provided an update and shared his experiences on driving business agility and transformation across their footprint which now includes Singapore, Australia, New Zealand and Indonesia, with plans for Cambodia, Myanmar, Malaysia, Philippines, Vietnam, and Thailand. Yeo is also a staunch supporter of open source.

Industry 45

Industry Open Source Wireless Mobile 45

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

CIO

FEBRUARY 28, 2024

Or, you may have begun migrating to the cloud but now need edge computing and IoT to streamline your operations, or you may want to use AI to supercharge your business analytics. How would you then capture that data, perhaps to roll out personalization at scale? How will you keep your customers’ data safe?

How To 130

How To Sustainability IoT Automotive 130

Agile Engine

APRIL 4, 2019

Clutch prides itself for its rigorous verification process, as well as its expertise in business analytics. The bulk of our expertise is in Data & Analytics, IoT, Media & Entertainment, Fintech, Retail, Healthcare, and Security, yet we work with other domains as well. About AgileEngine.

B2B 40

B2B Real Estate Software Review Development 40

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud? Aggregate data from multiple devices in one place.

IoT 8

IoT Cloud Data Analytics 8

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. Data Champions .

Data 118

Data Analytics Banking Big Data 118

Cloudera

JANUARY 24, 2023

UBL needed a superior data platform to handle the increasing volume and improve the business With UBL’s growing success, the bank needed to accommodate its growing volume of data. To this end, UBL embarked on a data analytics project that would achieve its goals for an improved data environment.

Banking 76

Banking Analytics Data Leadership 76

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. 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.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87