Forrester Research evaluated 13 big data predictive analytics solutions providers based on 45 criteria. They found three Leaders, eight Strong Performers, and two Contenders. Modern tools are lowering the barrier to entry and increasing appeal for users with less statistics skills. Predictive analytics has limited value unless the insights can be deployed directly into applications and business processes through APIs, web services, and other methods. Enterprises have many solid choices for big data predictive analytics solutions from the evaluated vendors.
Making Predictive Analytics Practical: How Marketing Can Drive EngagementProgress® Sitefinity™
Watch the full webinar recording here: http://goo.gl/4AdwiC
Nearly every marketer is coming to the realization that the future includes some combination of Big Data and predictive analytics. But how do you get there? Having the data is one thing, but understanding it and making it work for you is something else completely. Join Rowan Curran, Business Technology Researcher at Forrester Research, and Robert Mattson, Director of Product Marketing at Telerik, as they discuss recent research and real-life examples on the state of marketing and predictive analytics.
You will learn:
• How predictive analytics can drive more engaging personalized experiences
• What tools companies are using to build better contextualization for their customers
• The need for prescription in analytics
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
Making Predictive Analytics Practical: How Marketing Can Drive EngagementProgress® Sitefinity™
Watch the full webinar recording here: http://goo.gl/4AdwiC
Nearly every marketer is coming to the realization that the future includes some combination of Big Data and predictive analytics. But how do you get there? Having the data is one thing, but understanding it and making it work for you is something else completely. Join Rowan Curran, Business Technology Researcher at Forrester Research, and Robert Mattson, Director of Product Marketing at Telerik, as they discuss recent research and real-life examples on the state of marketing and predictive analytics.
You will learn:
• How predictive analytics can drive more engaging personalized experiences
• What tools companies are using to build better contextualization for their customers
• The need for prescription in analytics
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
Explainability for Natural Language ProcessingYunyao Li
Final deck for our popular tutorial on "Explainability for Natural Language Processing" at KDD'2021. See links below for downloadable version (with higher resolution) and recording of the live tutorial.
Title: Explainability for Natural Language Processing
Presenter: Marina Danilevsky, Shipi Dhanorkar, Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu
Website: http://xainlp.github.io/
Recording: https://www.youtube.com/watch?v=PvKOSYGclPk&t=2s
Downloadable version with higher resolution: https://drive.google.com/file/d/1_gt_cS9nP9rcZOn4dcmxc2CErxrHW9CU/view?usp=sharing
@article{kdd2021xaitutorial,
title={Explainability for Natural Language Processing},
author= {Marina Danilevsky, Shipi Dhanorkar and Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu},
journal={KDD},
year={2021}
}
Abstract:
This lecture-style tutorial, which mixes in an interactive literature browsing component, is intended for the many researchers and practitioners working with text data and on applications of natural language processing (NLP) in data science and knowledge discovery. The focus of the tutorial is on the issues of transparency and interpretability as they relate to building models for text and their applications to knowledge discovery. As black-box models have gained popularity for a broad range of tasks in recent years, both the research and industry communities have begun developing new techniques to render them more transparent and interpretable.Reporting from an interdisciplinary team of social science, human-computer interaction (HCI), and NLP/knowledge management researchers, our tutorial has two components: an introduction to explainable AI (XAI) in the NLP domain and a review of the state-of-the-art research; and findings from a qualitative interview study of individuals working on real-world NLP projects as they are applied to various knowledge extraction and discovery at a large, multinational technology and consulting corporation. The first component will introduce core concepts related to explainability inNLP. Then, we will discuss explainability for NLP tasks and reporton a systematic literature review of the state-of-the-art literaturein AI, NLP and HCI conferences. The second component reports on our qualitative interview study, which identifies practical challenges and concerns that arise in real-world development projects that require the modeling and understanding of text data.
The world around us is changing. Data is embedded in everything, and users from all lines of business want to leverage this data to influence decisions. The trick is to create a culture for pervasive analytics and empower the business to use data everywhere.
The core enabling technology to make this happen is Apache Hadoop. By leveraging Hadoop, organizations of all sizes and across all industries are making business models more predictable, and creating significant competitive advantages using big data.
Join Cloudera and Forrester to learn:
- What we mean by pervasive analytics, how it impacts your organization, and how to get started
- How leading organizations are using pervasive analytics for competitive advantage
- How Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster
Intel, Cloudera and guest speaker Forrester Research, Inc. discuss the strategy of pervasive analytics and real life examples of how analytics have already been embedded into applications and workflows.
Certus Accelerate - Why You Need to Invest in Your Data by Vincent McBurneyCertus Solutions
Consider this: Data flows from every device, replacing guessing and approximations with precise information. Yet 80% of this data is unstructured; therefore, invisible to computers and of limited use to business.
The State of Mobile Apps 2012: A Survey of Enterprise Plans Kony, Inc.
MGI Research conducted a survey of over 200 organizations around the world to paint a holistic view of the current state and the future of mobile apps. This document outlines the summary of the results.
Accenture's report explains how creating effortless experiences are so simple and easy with our data-driven strategy framework to drive growth. Read more.
This infographic is about how banks can maximize the value of their customer data using big data analytics. While the volume of data has been increasing in recent years, many banks have not been able to profit from this growth. Several challenges hold them back.
MedTech Quality in the Age of Big Data - Are you ready?Naveen Agarwal
Technology is creating a big change in the Medical industry. This presentation provides an overview of the changing industry landscape and how Quality/Regulatory professionals can prepare for the age of Big Data.
Adaptive apps as the name suggests, anticipate and adapt to the needs of each customer to deliver more relevant and profitable interactions. By combining predictive analytics, big data, and APIs, they deliver individualized experiences that build strong, lasting relationships with customers. Adaptive apps promise to revolutionize how we imagine, design, and build apps and APIs for a wide variety of use cases.
In this track keynote, we’ll introduce the concept of a adaptive app, describe the opportunities they present, and discuss how you can start taking advantage of predictive analytics and APIs to accelerate your business.
Explainability for Natural Language ProcessingYunyao Li
Final deck for our popular tutorial on "Explainability for Natural Language Processing" at KDD'2021. See links below for downloadable version (with higher resolution) and recording of the live tutorial.
Title: Explainability for Natural Language Processing
Presenter: Marina Danilevsky, Shipi Dhanorkar, Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu
Website: http://xainlp.github.io/
Recording: https://www.youtube.com/watch?v=PvKOSYGclPk&t=2s
Downloadable version with higher resolution: https://drive.google.com/file/d/1_gt_cS9nP9rcZOn4dcmxc2CErxrHW9CU/view?usp=sharing
@article{kdd2021xaitutorial,
title={Explainability for Natural Language Processing},
author= {Marina Danilevsky, Shipi Dhanorkar and Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu},
journal={KDD},
year={2021}
}
Abstract:
This lecture-style tutorial, which mixes in an interactive literature browsing component, is intended for the many researchers and practitioners working with text data and on applications of natural language processing (NLP) in data science and knowledge discovery. The focus of the tutorial is on the issues of transparency and interpretability as they relate to building models for text and their applications to knowledge discovery. As black-box models have gained popularity for a broad range of tasks in recent years, both the research and industry communities have begun developing new techniques to render them more transparent and interpretable.Reporting from an interdisciplinary team of social science, human-computer interaction (HCI), and NLP/knowledge management researchers, our tutorial has two components: an introduction to explainable AI (XAI) in the NLP domain and a review of the state-of-the-art research; and findings from a qualitative interview study of individuals working on real-world NLP projects as they are applied to various knowledge extraction and discovery at a large, multinational technology and consulting corporation. The first component will introduce core concepts related to explainability inNLP. Then, we will discuss explainability for NLP tasks and reporton a systematic literature review of the state-of-the-art literaturein AI, NLP and HCI conferences. The second component reports on our qualitative interview study, which identifies practical challenges and concerns that arise in real-world development projects that require the modeling and understanding of text data.
The world around us is changing. Data is embedded in everything, and users from all lines of business want to leverage this data to influence decisions. The trick is to create a culture for pervasive analytics and empower the business to use data everywhere.
The core enabling technology to make this happen is Apache Hadoop. By leveraging Hadoop, organizations of all sizes and across all industries are making business models more predictable, and creating significant competitive advantages using big data.
Join Cloudera and Forrester to learn:
- What we mean by pervasive analytics, how it impacts your organization, and how to get started
- How leading organizations are using pervasive analytics for competitive advantage
- How Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster
Intel, Cloudera and guest speaker Forrester Research, Inc. discuss the strategy of pervasive analytics and real life examples of how analytics have already been embedded into applications and workflows.
Certus Accelerate - Why You Need to Invest in Your Data by Vincent McBurneyCertus Solutions
Consider this: Data flows from every device, replacing guessing and approximations with precise information. Yet 80% of this data is unstructured; therefore, invisible to computers and of limited use to business.
The State of Mobile Apps 2012: A Survey of Enterprise Plans Kony, Inc.
MGI Research conducted a survey of over 200 organizations around the world to paint a holistic view of the current state and the future of mobile apps. This document outlines the summary of the results.
Accenture's report explains how creating effortless experiences are so simple and easy with our data-driven strategy framework to drive growth. Read more.
This infographic is about how banks can maximize the value of their customer data using big data analytics. While the volume of data has been increasing in recent years, many banks have not been able to profit from this growth. Several challenges hold them back.
MedTech Quality in the Age of Big Data - Are you ready?Naveen Agarwal
Technology is creating a big change in the Medical industry. This presentation provides an overview of the changing industry landscape and how Quality/Regulatory professionals can prepare for the age of Big Data.
Adaptive apps as the name suggests, anticipate and adapt to the needs of each customer to deliver more relevant and profitable interactions. By combining predictive analytics, big data, and APIs, they deliver individualized experiences that build strong, lasting relationships with customers. Adaptive apps promise to revolutionize how we imagine, design, and build apps and APIs for a wide variety of use cases.
In this track keynote, we’ll introduce the concept of a adaptive app, describe the opportunities they present, and discuss how you can start taking advantage of predictive analytics and APIs to accelerate your business.
Data Science Salon: Adopting Machine Learning to Drive Revenue and Market ShareFormulatedby
The race is on to gain strategic and proprietary insights into changes in customer preferences before your competitors. This workshop will cover how and why machine learning is the tool for marketers to drive revenue and increase market share. The adoption of machine learning does not happen overnight. We will discuss the Five Es of machine learning maturity – Educating, Exploring, Engaging, Executing and Expanding. Hear real-world examples of using machine learning to accelerate revenue, identify new customers and introduce new products based on machine learning capabilities.
Next DSS MIA Event - https://datascience.salon/miami/
I have been drinking from a virtual fire hose since joining my most recent technology company, Anametrix, a cloud-based digital analytics innovator. A whole new book opened for me on how digital analytics can both increase top line revenue and reduce spend by shining a very bright flashlight into marketing efforts.
We are all painfully aware of the data explosion problem. In 2011, the Gartner Group stated that information volume collected by businesses today is growing at a minimum 59% annually. The rapid adoption of social media has also caused customer data to explode in the last few years, creating entirely new challenges for marketers. It is now imperative for organizations to think differently to accommodate the variety, volume, and velocity of their growing customer-related data.
This is where my recent experiences come in: I have personally seen how digital analytics can harness the power of massive amounts customer-related data. It can literally simplify the accelerating complexity by providing deep visibility – as well as clarity – into the effectiveness of various marketing efforts, across both online and offline channels.
I will now outline the role of IT and CFO in adopting cloud-based digital analytics solutions, discuss the benefits as well as challenges of moving to this emerging category, and provide some illustrative examples on how digital analytics can transform your marketing organization.
How Can Enterprise App Development Help Your Business Growth.pdfXDuce Corporation
Enterprise application development is the process of creating and deploying scalable and
reliable apps to help enterprises streamline their business operations, improve productivity,
lower costs, and so on. Enterprise app development is possible to develop for both internal
and external use. Enterprise app development helps a business in many ways. The significant
advantage of enterprise app development services is that it provides the ability to store a
massive amount of informatio
How Can Enterprise App Development Help Your Business Growth.pptxXDuce Corporation
Organizations have seen growth in the demand for enterprise app development. It has made
developers build multiple apps that help their clients to grow business with enterprise
applications. Such as Automated billing systems, Payment processing systems, Email
marketing systems, Customer Relationship Management (CRM), Enterprise Resource
Planning (ERP), Business Continuity Planning (BCP), Enterprise Application Integration
(EAI), Enterprise Content Management, Enterprise Messaging Systems (EMS), HR
Management
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesDerek Kane
This is the first lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics approaches. This lecture provides an overview of the models and techniques we will address throughout the lecture series, we will discuss Business Intelligence topics, predictive analytics, and big data technologies. Finally, we will walk through a simple yet effective example which showcases the potential of predictive analytics in a business context.
Big Data white paper - Benefits of a Strategic Visionpanoratio
Following the massive deployment of new mobile technologies and social media, sources of data regarding organizations’ customer and staff behaviors keep increasing. However only a few companies are able to have a real knowledge of all the corresponding data.
Big Data management provides new capabilities both in term of velocity and volume of heterogeneous data processing. Those new systems impact directly the way organizations manage operational data monitoring, and are still complex to implement.
The first benefit of Panoratio is to allow organizations to handle the strategic dimension of Big Data, to serve companies’ challenges and business priorities before to implement new optimized operational monitoring systems.
Data Analytics has become a crucial part of the IT industry, as businesses strive to extract meaningful insights from the massive amounts of data they generate. APTRON's Data Analytics Training in Gurgaon is designed to equip learners with the knowledge and skills required to become proficient in the field.
Augmented analytics will push the analytics adoptionPolestarsolutions
The world of data analytics is no longer restricted to data scientists, IT, and analysts. Augmented analytics combines the best aspects of ML and human curiosity to assist users get quicker insights, consider data from unique angles, increase productivity and assist users of all skill levels to make smarter decisions based on AI analytics.
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
An introduction to BRIDGEi2i - Analytics Solutions company focused on solving complex based problems based on data mining and advanced analytics on big data. Visit http://www.bridgei2i.com
Insights Success is The Best Business Magazine in the world for enterprises. Being a platform, it focuses distinctively on emerging as well as leading fastest growing companies, their confrontational style of doing businesses and the way of delivering effective and collaborative solutions to strengthen market share. Here, we talk about the leader’s viewpoints & ideas, latest products/services, etc. Insights Success magazine reaches out to all the ‘C’ Level Professionals, VPs, Consultants, VCs, Managers, and HRs of various industries.
Cuneiform engineering solutions have geared up to revolutionize business giants. Our passionate team works tirelessly to solve today’s and tomorrow’s digital business challenges. we also deal with innovative digital platforms that
Implementing AI for improved performance testing – Cuneiform.pdf
2015 Forrester Report
1. Forrester Research, Inc., 60 Acorn Park Drive, Cambridge, MA 02140 USA
Tel: +1 617.613.6000 | Fax: +1 617.613.5000 | www.forrester.com
The Forrester Wave™: Big Data
Predictive Analytics Solutions, Q2 2015
by Mike Gualtieri and Rowan Curran, April 1, 2015 | Updated: April 1, 2015
For: Application
Development
& Delivery
Professionals
Key Takeaways
Enterprises Have Lots Of Solid Choices For Big Data Predictive Analytics
Solutions
Among the 13 big data predictive analytics solution vendors Forrester evaluated, we
found three Leaders, eight Strong Performers, and two Contenders.
Modern Tools Bring Predictive Power To More Classes Of Users
Organizations in every industry are perking up to the value of predictive analytics. With
a growth in demand, predictive analytics vendors are providing tools that lower the
barrier to entry and increase appeal for those with less statistics skills.
Predictive Analytics Enable Organizations To Embed Intelligence And Insight
Predictive analytics has limited value unless the exposed insights can be deployed
directly into software applications and business processes. API calls, web services, and
predictive model markup language (PMMLs) are some of the methods that companies
are using to seamlessly integrate predictions into their business.
Download The Forrester Wave Model Spreadsheet For Deeper Insight
Use the detailed Forrester Wave model to view every piece of data used to score
participating vendors and create a custom vendor shortlist. Access the report online and
download the Excel tool using the link in the right-hand column under “Tools & Templates.”
Alter Forrester’s weightings to tailor the Forrester Wave model to your specifications.
18. Forrester Research (Nasdaq: FORR) is a global research and advisory firm serving professionals in 13 key roles across three distinct client
segments. Our clients face progressively complex business and technology decisions every day. To help them understand, strategize, and act
upon opportunities brought by change, Forrester provides proprietary research, consumer and business data, custom consulting, events and
online communities, and peer-to-peer executive programs. We guide leaders in business technology, marketing and strategy, and the technology
industry through independent fact-based insight, ensuring their business success today and tomorrow. 115697
«
Forrester Focuses On
Application Development & Delivery Professionals
Responsible for leading the development and delivery of applications
that support your company’s business strategies, you also choose
technology and architecture while managing people, skills, practices,
and organization to maximize value. Forrester’s subject-matter expertise
and deep understanding of your role will help you create forward-thinking
strategies; weigh opportunity against risk; justify decisions; and optimize
your individual, team, and corporate performance.
Andrea Davies, client persona representing Application Development & Delivery Professionals
About Forrester
A global research and advisory firm, Forrester inspires leaders,
informs better decisions, and helps the world’s top companies turn
the complexity of change into business advantage. Our research-
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