science

Results 176 - 200 of 355Sort Results By: Published Date | Title | Company Name
Published By: IBM     Published Date: Mar 28, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent analytics, kenexa talent insights, workforce science, talent insights, human resource technology
    
IBM
Published By: IBM     Published Date: Jul 14, 2016
This video describes how data scientists, analysts and business users can save precious time by using a combination of SPSS and Spark to uncover and act on insights in big data.
Tags : 
ibm, data, analytics, predictive business, ibm spss, apache spark, coding, data science, software development, enterprise applications, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
Learn new ways of analyzing digitally connected customers-from dynamic segmentation to the use of advanced analytics. With predictive tools, banks can analyze transactions and spending behavior to better understand customer needs, anticipate life events, and provide a unique experience.
Tags : 
ibm, banking, finance, consumer insights, business intelligence, business anlytics, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 21, 2016
This e-book explores the many uses of client insights for banking and wealth management. By using sophisticated analytics and cognitive capabilities, your organization can gain deep understanding of what matters most to your clients. Knowing them well helps to provide targeted, personalized service that they value and increases their loyalty. It’s a smart pathway for reducing churn and generating new revenue models through meaningful cross-selling opportunities in today’s customer-centric world.
Tags : 
ibm, banking, client insight, financial services, engagement, client insights, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 21, 2016
The greatest challenge of the big data revolution is making sense of all the information generated by today's vast digital economy. It's well enough for an organization to collect every slice of data it can reach, but how does it extract value from this massive volume of information?
Tags : 
ibm, analytics, data science, data, big data, aps data, aps, enterprise applications, data management, data center
    
IBM
Published By: IBM     Published Date: Oct 21, 2016
Between the Internet of Things, customer experience and loyalty programs, social network monitoring, connected enterprise systems and other information sources, today's organizations have access to more data than they ever had before-and frankly, more than they may know what to do with. The challenge is to not just understand that data, but actualize it and use it to recognize real business value. This ebook will walk you through a sample scenario with Albert, a data scientist who wants to put text analytics to work by using the Word2vec algorithm and other data science tools.
Tags : 
ibm, analytics, aps, aps data, open data science, data science, word2vec, enterprise applications, business technology, data center
    
IBM
Published By: IBM     Published Date: Dec 15, 2016
BM Watson Health aims to transform the drug development process for life sciences – from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
Tags : 
ibm, watson, watson health, drug discovery
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
It's all well enough for an organization to collect every slice of data it can reach, but having more data doesn't mean you'll automatically get better insights. First, you have to figure out what you want from your data you have to find its value.
Tags : 
ibm, aps data, data science, open data science, analytics, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
In the domain of data science, solving problems and answering questions through data analysis is standard practice. Data scientists experiment continuously by constructing models to predict outcomes or discover underlying patterns, with the goal of gaining new insights. But data scientists can only go so far without support.
Tags : 
ibm, analytics, aps data, open data science, data science, data engineers, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Data matters more than ever to business success. But value does not come from data alone. Rather, it comes from the insights enabled by data. No matter what your role is, or where you are in your data journey, you are looking for ways to drive innovation.
Tags : 
ibm, analytics, aps data, open data science, data science, apache spark, enterprise applications
    
IBM
Published By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
Tags : 
data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
Published By: IBM     Published Date: May 12, 2017
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly. IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
Tags : 
ibm, spss, data analysis, statistics, risk mitigation
    
IBM
Published By: IBM APAC     Published Date: Aug 25, 2017
Machine learning automates the development of analytic models that can learn and make predictions on data. It has been one of the fastest growing disciplines within the world of statistics and data science, but the barrier to entry has been high, not only in cost, but also in the need for specialized talent.
Tags : 
machine learning, apache spark, additional resources, big data, ibm
    
IBM APAC
Published By: IBM APAC     Published Date: May 14, 2019
Machine Learning For Dummies, IBM Limited Edition, gives you insights into what machine learning is all about and how it can impact the way you can weaponize data to gain unimaginable insights. Your data is only as good as what you do with it and how you manage it. In this book, you discover types of machine learning techniques, models, and algorithms that can help achieve results for your company. This information helps both business and technical leaders learn how to apply machine learning to anticipate and predict the future. You will find topics like: - What is machine learning? - Explaining the business imperative - The key machine learning algorithms - Skills for your data science team - How businesses are using machine learning - The future of machine learning
Tags : 
    
IBM APAC
Published By: IBM MidMarket Demand Generation     Published Date: Apr 09, 2012
Learn more about Watson (as seen on Jeopardy!), the latest IBM Research Grand Challenge, designed to further the science of natural language processing through advances in question and answer technology. This paper explains Watson's workload optimized system design and why this represents a new computing paradigm.
Tags : 
ibm, technology, technology system, data system, answer technology, optimization, system design, new computing
    
IBM MidMarket Demand Generation
Published By: IBM Watson Health     Published Date: Feb 28, 2017
IBM Watson Health aims to transform the drug development process for life sciences – from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
Tags : 
ibm, watson, watson health, drug discovery
    
IBM Watson Health
Published By: IFS     Published Date: Dec 27, 2012
Setting the price of goods for sale can be considered either an art or a science. And accurately tracking the cost of the thousands of component parts that go into a piece of complex machinery can be some combination of both.
Tags : 
erp, enterprise resource planning, enterprise, integration, process management, project management, costing, pricing
    
IFS
Published By: Infologisys     Published Date: May 14, 2008
Performance management is a subset of Performance Engineering, an emerging computer science practice which strives to build performance into the design and architecture of a system, prior to the onset of actual coding effort. Any technology which is measured can be managed easily. Find out how in this paper.
Tags : 
infologisys, software development
    
Infologisys
Published By: Infosys     Published Date: May 21, 2018
Every player in the life sciences sector knows it: the future of healthcare delivery lies in digital disruption. Their objective, therefore, is to positively disrupt their own business model before the competition beats them to it. They need to offer a digitally-enabled patient experience that improves clinical outcomes while also bringing benefits to all the other stakeholders, as seen in the hugely complex value chain of our client - a large pharmaceutical company.
Tags : 
digital, disruption, technology, science, life, healthcare
    
Infosys
Published By: Infosys     Published Date: Dec 03, 2018
Data is a truly inexhaustible resource for an organization. It creates endless possibilities to make data do more. As a technology partner of hundreds of organizations around the world, Infosys helps clients navigate the journey from their current state to the next. Facilitating clients’ transition into data-native enterprises is a crucial part. To understand how companies are using data analytics today and their expectations in a world of endless possibilities with data, we recently commissioned an independent survey of 1,062 senior executives from organizations with annual revenues exceeding US$ 1 billion, in the United States, Europe, Australia, and New Zealand. The respondents were from business and technology roles, who were decision makers, program managers and external consultants; represented 12 industries, grouped into seven industry clusters, such as, consumer goods, retail and logistics, energy and utilities, financial services and insurance, healthcare and life sciences, h
Tags : 
    
Infosys
Published By: Intel     Published Date: Jun 07, 2017
Using the Integrated Analytics Hub, data analytics projects have already accounted for an estimated quarterly savings on marketing digital-media expenditures of approximately USD 170,000. Download this white paper to find out more.
Tags : 
intel, analytics, data, data analytics, data science
    
Intel
Published By: Intel     Published Date: Jun 07, 2017
Intel's Bob Rogers, chief data scientist for big data solutions, sat down with Dan Magestro, research director at the international Institute of Analytics (IIA), to discuss the power of asking questions when assessing an organisation's analytics maturity. Read on to find out more.
Tags : 
intel, analytics, data, data analytics, data science
    
Intel
Published By: KM Sciences     Published Date: Dec 13, 2006
Microsoft Project has been the most popular project scheduling tool on earth.  But have you ever wanted to share your task and collaborate on task details, requirement specification, design discussions or track the functional progress?
Tags : 
collaboration, project management, knowledge management, collaborate, team management, project schedule, schedule, scheduling, productivity, ms project, microsoft, km science, km sciences
    
KM Sciences
Published By: KM Sciences     Published Date: Dec 13, 2006
A Project Team creates mountains of data during project implementation. The effort required to maintain and collaborate this information is a challenge. Take a look at how we can wrap our arms around it.
Tags : 
project management, productivity, collaboration, team management, people management, project team, team development, project implementation, km science, km sciences, knowledge management
    
KM Sciences
Published By: KM Sciences     Published Date: Dec 13, 2006
Project knowledge and collaboration is the sharing of organized information within a team. A new approach that enables project managers to manage project schedules as well as knowledge without additional effort.  Learn more with this informative paper.
Tags : 
collaboration, project management, knowledge management, collaborate, team management, project schedule, schedule, scheduling, productivity, km science, km sciences
    
KM Sciences
Start   Previous    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15    Next    End
Search      

Add Research

Get your company's research in the hands of targeted business professionals.