Deliver a customer experience fit for royalty with data science and AI
IBM Big Data Hub
JULY 2, 2019
Delivering a great customer experience is more important than ever. Learn what you can deliver with data science and AI.
The Role of Master Data Management in Enabling Omnichannel Connected Customer Experiences
Reltio
NOVEMBER 9, 2020
At Reltio, we work with the world’s leading brands to enable omnichannel connected customer experiences. These brands understand how, where and when customers want to engage along the customer journey. The KPIs they use to measure ROI are customer experience through Net Promoter Score (NPS) and revenue growth.
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Say Goodbye to Legacy MDM, Say Hello to Reltio to Power Connected Customer Experiences
Reltio
FEBRUARY 3, 2020
I remember reading the Gartner prediction that by 2020, 86% of companies will be competing on customer experience. Well, 93% of CEOs and executives say improving the customer experience is one of their organization’s top 3 priorities in the next two years. Building a data innovation capability is important.
Overcoming data obstacles in the banking industry with Industry Accelerators in Cloud Pak for Data
IBM Big Data Hub
APRIL 28, 2020
In the wake of COVID-19, our banking clients are likewise looking to data science and AI to address four specific challenges: providing an extreme customer experience, mitigating operational risks, reducing operating expenses, and maximizing resource efficiencies.
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Connected Customer 360 Profiles for Retail & Luxury Brands
Reltio
JUNE 22, 2020
As a result, they use connected customer 360 profiles to power analytics and data science initiatives to get deeper insights about their customers in-the-moment to fuel their innovation roadmap with differentiated products, services and digital experiences. Store Associates and Digital Stylists. Digital Team.
Retail 78
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Is 2018 the Tipping Point in Digital Transformation?
Bill Schmarzo - Dell EMC
MARCH 28, 2018
And the entire value creation and capture process starts with understanding, optimizing and simplifying the customer experience ; to create a more compelling, differentiated customer experience that builds loyalty and ultimately advocacy. Summary: Digital Transformation and Data Monetization.
Data Innovator Spotlight - Top 6 Characteristics of Data Innovators
Reltio
MAY 12, 2020
And, they uncover monetization opportunities with the right data. Data innovators support digital and customer experience transformations. They work on important and interesting initiatives like how to use customer data to create connected customer experiences and to drive hyper-personalization at scale.
IBM named a Leader in the latest Forrester Wave™ report for AI Decisioning
IBM Big Data Hub
MAY 18, 2023
IBM Automation Decision Services is designed to enable organizations to combine prescriptive business rules with predictive models to help them make more informed operational decisions to improve customer experience and make organizations run more effectively.
Data science 87
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Don’t Follow the Money; Follow the Customer!
Bill Schmarzo - Dell EMC
FEBRUARY 14, 2018
However this infatuation with following the money can actually lead organizations astray, and make the vulnerable to disruption and disintermediation from more nimble, more customer-focused organizations. Customer experiences are unsatisfactory. Customer outcomes are questionable, or are downright wrong.
Four starting points to transform your organization into a data-driven enterprise
IBM Big Data Hub
JANUARY 17, 2023
Data science and MLOps. When AI is done right, enterprises are seeing increased revenues, improved customer experiences and faster time-to-market, all of which leads to revenue gains and improvements in their competitive positioning. Start a trial. AI is no longer experimental.
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Organize Master Data, Personalize Customer 360: Learn from the Top Industry Experts
Reltio
FEBRUARY 12, 2019
If connected and personalized customer experience is your immediate goal, and if you want to know everything about achieving it, look no further. With over 40 sessions featuring 60 speakers, the summit has three tracks – Modern Data Management, Personalize Customer 360, and Healthcare & Life Sciences.
MDM 53
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Need a guide for your artificial intelligence journey?
OpenText Information Management
MARCH 26, 2018
OpenText™ Professional Services has been a trusted partner to its customers for over 25 years. We have worked with customers on their Enterprise Content Management, Business Process Management and Customer Experience Management solutions which have generated a sizable amount of Big Data and Big Content.
The Customer Journey Digital Transformation Workbook
Bill Schmarzo - Dell EMC
APRIL 4, 2018
Figure 1: “Driving Business Strategies with Data Science: Big Data MBA” Because in our evolving world, successful digital transformation will be the difference whether a business survives or wilts in the modern economy. What data might you need to make those “Taking a Vacation” recommendations (predictions)?
The Consumerization of Artificial Intelligence
Bill Schmarzo - Dell EMC
JANUARY 31, 2018
Whether we know it or not, we have all become “Citizens of Data Science,” and the world will never be the same. Doing so enables Apple IOS developers to create a more engaging, easy-to-use customer experience, leveraging Natural Language Processing (NLP) for voice-to-text translation (Siri) and Facial recognition.
How to Take Your Business to The Next Level with Data Intelligence
erwin
JUNE 11, 2020
How Business Benefits from Data Intelligence. Traditional business models and processes can be detrimental to today’s evolving data-driven society. Businesses are then introduced to modern data science and data intelligence tools to enhance and fine-tune their products and processes. Enhance customer experience.
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Metromile: A FitBit for Your Car
John Battelle's Searchblog
JANUARY 26, 2015
Metromile is a stellar example of a company that has found a vector into a treasure trove of potential information – the automobile – and is busy turning that information into a new kind of customer experience, one that has the potential to completely retool the utility and value of the insurance business.
Insurance 102
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Achieve your AI goals with an open data lakehouse approach
IBM Big Data Hub
OCTOBER 4, 2023
Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy.
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Mastering budget control in the age of AI: Leveraging on-premises and cloud XaaS for success
IBM Big Data Hub
JUNE 10, 2024
Cloud-based XaaS solutions provide scalability, flexibility and access to a wide range of AI tools and services, while on-premises XaaS offerings enable greater control over data governance, compliance and security.
Cloud 62
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Three models for determining the true value of data
Information Management Resources
JUNE 4, 2018
With proper targeted analysis, data scientists can uncover meaningful insights to guide decisions on products, customer experience, risk mitigation, processes and profitability.
The Magic of Modern MDM: Making Data Work for Healthcare and Life Sciences
Reltio
FEBRUARY 18, 2019
Digital transformation, big data analytics, and machine learning – the buzzwords echoing the Healthcare & Life Sciences industry signify a new era of delivering connected and personalized customer experience through 360 customer profile. Dedicated Healthcare and Life Sciences Track.
MDM 53
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Delivering business value for insurance companies
Collibra
APRIL 9, 2021
On that topic, I had the opportunity to speak on a webinar that brought together insurance data experts from Deloitte in the UK, and data and analytics leader Peter Jackson, who heads up group data sciences for Legal & General. Drivers for cloud adoption.
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Data Secrets to A Successful Drug Launch
Reltio
AUGUST 17, 2018
Read the success story of one of the oldest and largest global pharma that consolidated customer profile across all business functions to improve customer experience across all digital touchpoints, and better engage high-value customers. Read more Pharma Commercial Success Stories.
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ABBYY Partners with Alteryx Extending the Alteryx Analytic Process Automation Platform with Deeper Process Intelligence
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. About Alteryx.
Analytics 40
40 7 Reasons Why Businesses Should Adopt A Modern MDM Platform
Reltio
JULY 6, 2018
With Reltio Cloud’s simple configurability and ease of use, the business teams were able to give its field sales reps the ability to submit updates through the Reltio UI via mobile phones, allowing them to contribute towards overall data quality. Fast Path to Digital Transformation.
MDM 60
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MetLife joins MIT Media Lab, eyes faster adoption of emerging technologies
Information Management Resources
APRIL 16, 2018
The insurer will leverage the university's research in the Internet of Things, data science and machine learning to help improve the life underwriting process.
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How to accelerate your data monetization strategy with data products and AI
IBM Big Data Hub
NOVEMBER 14, 2023
Depending on the user’s business model they may be consuming that service for their own use in their capabilities, or under appropriate license terms to create a downstream product or customer experience using the data product for their own revenue stream.
How to build a successful AI strategy
IBM Big Data Hub
DECEMBER 20, 2023
Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. This alignment is essential for extracting meaningful value from AI and maximizing its impact.
What is True Cloud-Native Master Data Management?
Reltio
JUNE 22, 2020
Cloud-native MDM leverages multi-model data management to support both operational and analytic use cases. This provides agility to allow purpose-built services and components that can be used together to provide an enhanced customer experience for any use case.
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Generative AI use cases for the enterprise
IBM Big Data Hub
FEBRUARY 13, 2024
Design content, ad campaigns and innovative products that build better customer experiences. Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. Teamwork: Assemble a team with expertise in AI, data science and your industry.
Why Twilio’s $3.2B acquisition of Segment may not be enough
Reltio
OCTOBER 22, 2020
shows how in demand data management technology is as a foundation for connected customer experiences. While Segment has done really well in the SMB market segments, they don’t have a track record selling to Global 2000 enterprise customers. . POV on the Customer Data Platform Market .
#DataDriven19 – The Fastest Way to Learn Modern MDM & Personalized Customer 360
Reltio
FEBRUARY 6, 2019
This year’s theme “ Organize Master Data. Personalize Customer 360 ” will cover the hottest topics relevant to master data management and customer 360, big data analytics, data science and business facing data-driven applications.
MDM 40
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Reltio Named a Leader in the 2021 Forrester Wave™ Report for MDM
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.”. Our customers make better decisions, optimize processes, and compete effectively in their markets using a high-quality, unified data foundation.
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Breaking down the advantages and disadvantages of artificial intelligence
IBM Big Data Hub
JANUARY 10, 2024
Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.
Celebrating 40 years of Db2: Running the world’s mission critical workloads
IBM Big Data Hub
SEPTEMBER 11, 2023
Forrester’s 2022 Total Economic Impact Report for Data Management highlights the impact Db2 and the IBM data management portfolio is having for customers: Return on investment (ROI) of 241% and payback <6 months.
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Is 2018 the Tipping Point in Digital Transformation?
Bill Schmarzo - Dell EMC
MARCH 28, 2018
And the entire value creation and capture process starts with understanding, optimizing and simplifying the customer experience ; to create a more compelling, differentiated customer experience that builds loyalty and ultimately advocacy. Summary: Digital Transformation and Data Monetization.
Don’t Follow the Money; Follow the Customer!
Bill Schmarzo - Dell EMC
FEBRUARY 14, 2018
However this infatuation with following the money can actually lead organizations astray, and make the vulnerable to disruption and disintermediation from more nimble, more customer-focused organizations. Customer experiences are unsatisfactory. Customer outcomes are questionable, or are downright wrong.
Analytics 40
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A steadfast community in an ever-changing data landscape
IBM Big Data Hub
SEPTEMBER 7, 2022
Data is high on the C-Suite’s agenda and making a real difference in performance marketing, customer experience, product design and operations—so there is never-before-seen pressure on data leaders to deliver outcomes. We recommend that data leaders pick a small problem and solve that, then look at the impact.
Data science 52
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Four use cases defining the new wave of data management
IBM Big Data Hub
MAY 9, 2022
As we settle back into a more normal day-to-day experience the customer expectation of convenience and personalized service remains. High-performing organizations have realized this and list improving the customer experience as their top priority over the next two to three years. [3].
Metadata 56
56 The Customer Journey Digital Transformation Workbook
Bill Schmarzo - Dell EMC
APRIL 4, 2018
Figure 1: “Driving Business Strategies with Data Science: Big Data MBA” Because in our evolving world, successful digital transformation will be the difference whether a business survives or wilts in the modern economy. What data might you need to make those “Taking a Vacation” recommendations (predictions)?
10 everyday machine learning use cases
IBM Big Data Hub
OCTOBER 16, 2023
Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.
Marketing 48
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Leveraging user-generated social media content with text-mining examples
IBM Big Data Hub
AUGUST 28, 2023
One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. This valuable information helps decision-makers refine marketing strategies, improve product offerings and deliver a more personalized customer experience. What is text mining?
Mining 53
53 The 3% Edge: How Data Drives Success in Business and the Olympics
Bill Schmarzo - Dell EMC
FEBRUARY 20, 2018
The article discusses how Mr. Zok is bringing a Silicon Valley data scientist mentality to help America’s Olympic athletes more effectively leverage data and analytics to win Olympic medals. Olympic Committee’s technology and innovation.
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Data integrity vs. data quality: Is there a difference?
IBM Big Data Hub
JULY 13, 2023
Data science tasks such as machine learning also greatly benefit from good data integrity. When an underlying machine learning model is being trained on data records that are trustworthy and accurate, the better that model will be at making business predictions or automating tasks.
Metadata 63
63 The Consumerization of Artificial Intelligence
Bill Schmarzo - Dell EMC
JANUARY 31, 2018
Whether we know it or not, we have all become “Citizens of Data Science,” and the world will never be the same. Doing so enables Apple IOS developers to create a more engaging, easy-to-use customer experience, leveraging Natural Language Processing (NLP) for voice-to-text translation (Siri) and Facial recognition.
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