Info Source

OCTOBER 6, 2020

The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform. ABBYY brings process intelligence to both data and operational processes to automate otherwise complex hand-offs. billion by 2024, and recognized ABBYY as a Leader in the category.

Analytics 40

Analytics Digital transformation Mining Data science 40

IBM Big Data Hub

FEBRUARY 8, 2023

Organizations in highly regulated markets such as healthcare, government and financial services have additional challenges in meeting industry regulations around data and models. The IBM AI Governance solution automates across the AI lifecycle from data collection, model building, deploying and monitoring.

Artificial Intelligence 52

Artificial Intelligence Compliance Analytics Government 52

Bill Schmarzo - Dell EMC

MARCH 5, 2018

For example, PNC Financial Services Group’s annual report mentions the business initiative to “grow profitability through the acquisition and retention of customers and deepening relationships.” Figure 3: PNC Financial Services Group 2015 Annual Report. to the desired prediction. Step 6: Implement Technology.

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

Reltio

DECEMBER 10, 2021

The Reltio MDM solution is part of the Connected Data Platform, which supports all data types in real time for operational, analytical, and data science use cases.”. Reltio serves several retail, travel and hospitality, and financial services customers that experience significant seasonal spikes in their usage.

MDM 98

MDM Analytics Digital transformation Cloud 98

IBM Big Data Hub

SEPTEMBER 27, 2022

Whether it be financial services, employee hiring, customer service management or healthcare administration, AI is increasingly powering critical workflows across all industries. Today AI permeates every aspect of business function. But with greater AI adoption comes greater challenges.

Government 52

Government Compliance Data science Financial Services 52

Reltio

FEBRUARY 3, 2021

Our customers include global pharmaceutical and life sciences companies, market leaders in healthcare, financial services, and technology, major travel and hospitality brands, and prestigious international luxury consumer brands in fashion, retail, and personal care. Unparalleled Performance.

MDM 98

MDM Cloud Marketing B2C 98

Collibra

AUGUST 14, 2023

If you’re in financial services, maybe you’re considering how to incorporate AI into fraud detection, or personalized customer service, denial explanations or financial reporting. Usually, this step involves reaching out to relevant data owners. Risk: What potential risks exist, and how sizable are they?

Government 52

Government Risk Financial Services Compliance 52

Bill Schmarzo - Dell EMC

MARCH 5, 2018

For example, PNC Financial Services Group’s annual report mentions the business initiative to “grow profitability through the acquisition and retention of customers and deepening relationships.” Figure 3: PNC Financial Services Group 2015 Annual Report. to the desired prediction. Step 6: Implement Technology.

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40

John Battelle's Searchblog

JANUARY 26, 2015

Ever since writing Living Systems and The Information First Company last Fall, I’ve been citing Earnest , the financial services startup, as a poster child for what I mean by an “information-first” company. The Metromile staff in front of their SF HQ (Preston is in the red shirt in the back right).

Insurance 102

Insurance Data science Customer Experience Financial Services 102

Reltio

JULY 6, 2018

Reltio’s unique approach to modeling relationships with graph technology, combined with big data science, enabled the client to unlock the critical intersections of interactions and information by creating a single repository of trusted and mastered pet parent profiles in real-time.

MDM 60

MDM Insurance Retail Cloud 60

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Artificial Intelligence 92

Artificial Intelligence Marketing e-Delivery Manufacturing 92

Information Matters

DECEMBER 7, 2018

Retailers are most at risk globally, with 62% of respondents willing to walk away after a data breach, followed by banks (59%) and social media sites (58%), according to a survey of 10,500 consumers by digital security firm Gemalto.” 71% of UK businesses at risk due to data skills gap, CEOs say – TechRepublic, 26 November 2018.

IoT 40

IoT Blockchain Personal data Analytics 40

Reltio

JULY 2, 2019

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

Reltio

JULY 31, 2019

It all came out of applying business understanding to data and analytics, and they decided to go ahead with the top ten suggestions. That’s the piece that technical people forget – to join the dots between the analytics and its practical application in the business.

Analytics 49

Analytics Blockchain Cloud Artificial Intelligence 49

Reltio

APRIL 16, 2019

Also a multi-cloud strategy makes more sense for newer data-led enterprises that are permeating every industry sector. Anastasia Zamyshlyaeva , Reltio. Many enterprises are moving from dependence on a single public cloud provider to a multi-cloud architecture. The reasons for this shift are many.

Cloud 75

Cloud MDM Analytics Financial Services 75

Reltio

MARCH 31, 2019

The third Modern Data Management annual summit (#DataDriven19) had great minds sharing their MDM success stories and assessing where MDM is headed. Modern enterprises put data at the heart of every decision to stay competitive. Understanding data to make it work is perhaps the biggest challenge enterprises face today.

MDM 40

MDM Digital transformation Analytics Cloud 40