Info Source

OCTOBER 6, 2020

NYSE: AYX), a leader in analytic process automation (APA ), to deliver process intelligence capabilities that complement the Alteryx Analytic Process Automation Platform. The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform.

Analytics 40

Analytics Digital transformation Mining Data science 40

Bill Schmarzo - Dell EMC

MARCH 19, 2018

This is the same Amos Tversky who, along with Daniel Kahneman, was featured in Michael Lewis’s most recent book “ The Undoing Project: A Friendship That Changed Our Minds , an account of Tversky and Kahnemans’ extraordinary bond that incited a revolution in Big Data studies, among other things, and made much of Lewis’ own work possible.

Analytics 111

Analytics Data science Big data Risk 111

Collibra

JULY 13, 2023

The broader, wider, data domain led to a pertained foundational model that now seems like it knows a little bit about everything, and can talk about everything very eloquently and in any written style you can imagine — from analytical to poetic. The message was clear: better data would enable a better response.” (5)

Government 72

Government Data science Artificial Intelligence Analytics 72

Collibra

MAY 4, 2021

This jointly developed service brings together data engineering, data science, analytics and machine learning through an open lakehouse platform. With an open data and cloud platform, users need data governance to continue to reap the benefits of the open architecture. Collibra offers: .

Cloud 64

Cloud Analytics Data science Government 64

erwin

JUNE 11, 2020

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. How Business Benefits from Data Intelligence. Apply real-time data in marketing strategies.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

Collibra

DECEMBER 22, 2022

Most of the time, we never think about if the data is correct. We can’t see the complex data science and data engineering that’s driving these experiences. We don’t really have any way of knowing if the data is correct. Now, imagine the ramifications of bad data for your app. It limits the ability to scale.

Analytics 52

Analytics Data science Government Marketing 52

Bill Schmarzo - Dell EMC

MARCH 19, 2018

This is the same Amos Tversky who, along with Daniel Kahneman, was featured in Michael Lewis’s most recent book “ The Undoing Project: A Friendship That Changed Our Minds , an account of Tversky and Kahnemans’ extraordinary bond that incited a revolution in Big Data studies, among other things, and made much of Lewis’ own work possible.

Analytics 40

Analytics Data science Big data Risk 40

Collibra

NOVEMBER 23, 2022

Data Intelligence Assessment . We created our Data Intelligence Assessment tool with IDC. It rates an organization’s maturity based on four core pillars: Data Literate Culture, Data Analytics, Data Management, and Data Valuation.

Analytics 94

Analytics Data science Government Marketing 94

Information Management Resources

OCTOBER 10, 2018

The initiative, which will kick off in 2019, continues the life insurer's strategy of engaging the academic community to build a data talent pipeline.

Data science 31

Data science Insurance Analytics 31

eSecurity Planet

JULY 16, 2021

This includes real-time remediation assistance, rule-based and protection activation recommendations, traffic and attack analysis, forensic analytics lab access, scheduled log analysis of identified critical systems, and configuration change recommendations for third-party systems and service providers. FireEye Mandiant. Key Differentiators.

Analytics 120

Analytics Data science Cloud Artificial Intelligence 120

Data Matters

JUNE 27, 2022

Last week, the UK Competition and Markets Authority (CMA) hosted its inaugural Data, Technology, and Analytics (DaTA) Conference. Another example of successful cross-border collaboration includes a market data screening tool called Bid Viewer, which is being co-developed with over 15 competition authorities around the world.

Marketing 158

Marketing Data science Privacy Artificial Intelligence 158

Collibra

APRIL 9, 2021

Given the data-intensive nature of their operations, it is natural that many insurance companies are looking towards the cloud as an infrastructure choice to help enable more agile data operations. Bridging this gap in expectations are data leaders, who play a vital role in any successful cloud strategy.

Insurance 59

Insurance Cloud Data science Analytics 59

eSecurity Planet

SEPTEMBER 22, 2022

Data lakes store data at enormously reduced prices, with prices below $25 per month for the equivalent of 3TB of log data. SDLs that share storage with an organization’s general data lake strategy may benefit from additional bulk storage discounts with the data lake provider.

Security 117

Security Analytics Cloud Unstructured data 117

Collibra

JUNE 2, 2022

In a survey conducted by Sage Growth Partners, 90% of providers indicated that they have an AI strategy in place. Since AI relies heavily on data, the integrity and quality of the underlying data upon which AI models are trained is critical to ensure accuracy and remove the risk of model bias and opacity.

Government 52

Government Cloud Data science Metadata 52

Reltio

FEBRUARY 12, 2019

Focusing on the modern way to organize master data, the upcoming Modern Data Management Summit 2019 is the best event to learn about big data analytics and machine learning to deliver personalized customer experience through 360 customer profile. Sounds impressive? Don’t just take our word. Discover yourself.

MDM 53

MDM Customer Experience Digital transformation Analytics 53

IBM Big Data Hub

MAY 8, 2023

An enlarged analytics and testing strategy to execute testing on a regular basis to monitor risk issues that related to AI system inputs, outputs, and model components. Efficient and accurate AI requires fastidious data science. You should host the model on internal servers.

Insurance 68

Insurance Risk Artificial Intelligence Government 68

IBM Big Data Hub

FEBRUARY 13, 2024

Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success. Invest in data hygiene and collection strategies to keep your engine running smoothly. Garbage in, garbage out.

Artificial Intelligence 118

Artificial Intelligence Marketing Sales Communications 118

IBM Big Data Hub

SEPTEMBER 7, 2022

Originally based on our books, The Chief Data Officer’s Playbook and Data-Driven Business Transformation , the program is now an interactive 10-week workshop that addresses data maturity, data strategy, data literacy, leadership, technology and more. Small victories lead to big ones.

Data science 52

Data science Customer Experience Communications Marketing 52

Information Management Resources

DECEMBER 1, 2017

Deep integration between master data management and analytics execution can provide schema synchronization and offer new decision-making strategies.

Analytics 63

Analytics Data science 63

Collibra

JUNE 7, 2022

On the one hand, the growing use of advanced analytics and AI have become an essential element of successful enterprise strategy, on the other hand we hear about stories of mishandling data that undercut trust in institutions. The dispassionate domain of data has become a focus of ethical questions. Be good to your data.

IT 52

IT Data science Privacy Analytics 52

Information Management Resources

FEBRUARY 27, 2018

As organizations evaluate the role of new technologies in their business strategy, the burden is on the software developer and data analyst to clearly communicate the potential of each.

Analytics 35

Analytics Communications Data science 35

DXC Technology

MARCH 12, 2019

Successful AI implementations rarely hinge on the unique innovation of a specific algorithm or data science technique. Those are important factors, but even more foundational to successful AI enablement are the core data operations and enabling platforms.

Data science 83

Data science Analytics 83

IBM Big Data Hub

JANUARY 10, 2023

Coupled with a current climate that is proving to be increasingly ambiguous and complex, there is a huge opportunity to leverage data insights to drive a more robust, evidence-based methodology to the way we work and manage change. It can show whether perceptions are real, as well as unearthing unexpected insights.

Mining 52

Mining Analytics Digital transformation Data science 52

IBM Big Data Hub

NOVEMBER 8, 2023

At the beginning of the year, we laid out a new strategy for IBM Power under the leadership of Ken King, who will be retiring by the end of 2023 after forty years with IBM. Later this month, clients will be able to take advantage of expanded data science services with the release of IBM Cloud Pak for Data V4.8,

Cloud 93

Cloud Digital transformation Data science IT 93

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

Collibra

OCTOBER 14, 2021

As a result, organizations lack an enterprise data quality foundation to respond to regulatory, analytics, and AI demands in a scalable and cost-efficient way. Making sure data is of a high quality involves rules. An intelligent data quality system can evolve rules on-the-fly. Escalate with data governance workflows.

Analytics 52

Analytics Government Compliance Data science 52

Information Management Resources

APRIL 6, 2018

Analytics skills are in short supply, but demands for data-driven results are not. Here are Forrester’s top tips on how chief data officers can drive business strategy.

Analytics 49

Analytics Data science Mining 49

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining?

Mining 53

Mining Marketing Artificial Intelligence Customer Experience 53

Information is Currency

FEBRUARY 17, 2017

Despite years of talking about information governance and compliance, less than half of companies surveyed have a compliance culture — and many companies apparently have no governance strategy at all. Risk of personal data loss. The Conflict between Data Science and Cybersecurity. Poor User Experience.

MDM 40

MDM Big data Information governance Analytics 40

Collibra

AUGUST 11, 2020

They explored our journey so far, where do Chief Data Officers come from? Anywhere from technology, data, analytics, to operations, marketing and increasingly data science. No matter where you come from a passion for data and credibility are important for any CDO. It is the nirvana of the CDO.

Analytics 69

Analytics Data science Government Marketing 69

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Healthcare 55

Healthcare Artificial Intelligence Data science Compliance 55

Reltio

MAY 12, 2020

The data science and analytics team may need different customer profile attributes than the finance team. Data innovators don’t believe in silos. They take a data-first approach and drive multiple outcomes with the same data so that one solution powers multiple outcomes (e.g.

Customer Experience 98

Customer Experience MDM Compliance Insurance 98

Collibra

JANUARY 1, 2021

Consequently, a data governance framework makes it easier for organizations to use their data as an asset and scale data governance across the enterprise. What is a data governance framework? A data governance framework maps out the components of a data governance strategy from ideation to execution.

Government 59

Government Compliance Data Privacy Privacy 59

ARMA International

SEPTEMBER 13, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. Consequently, CS are inextricably linked to a cloud-first strategy. AI using machine learning (ML) involves processing samples of data to learn. Content Services Platforms (CSP).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Information Management Resources

FEBRUARY 28, 2018

Several top colleges and universities are offering courses and concentrations in applying data to the sector.

Analytics 29

Analytics Insurance Unstructured data Data science 29

OpenText Information Management

JANUARY 10, 2020

At this year’s Forrester Data Strategy & Insights conference in Austin, TX, Forrester’s Boris Evelson presented a live technology challenge to OpenText and another vendor in his session, “Best in Class Platforms.”

Unstructured data 74

Unstructured data Data science Analytics 74

Collibra

JUNE 1, 2022

Collibra Adaptive Data and Analytics Governance is available for a free test drive! The foundation of a data-driven organization. Data is more valuable than ever. The key is adaptive data and analytics governance. At Collibra, we believe it’s the next big step forward in data governance. .

Analytics 75

Analytics Government Compliance Metadata 75