data science

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Published By: Engagio     Published Date: Jan 14, 2019
B2B demand generation has almost completely re-invented itself over the last decade. The collision of inbound, content marketing, lead nurturing, marketing automation, analytics, email, search, social media and native advertising has transformed the discipline from a dark art to an increasingly data-driven science. But there’s a problem When it comes to helping to land and expand these major deals, today’s marketing teams are seriously handicapped. The Clear & Complete Guide to Account Based Marketing (ABM) is your guide to solving this problem. It will take you, step-by-step, through this fast-emerging discipline, showing you how to align your sales and marketing team around a strategy that’s optimized for the biggest, most important deals.
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Engagio
Published By: IBM     Published Date: Aug 20, 2015
Hear from industry experts, how forward-thinking organizations can use workforce science and analytics to turn data into insights and then into action
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data analytics, ibm recruitment, data insights, hr leaders, workforce science, talent management, hr analytics
    
IBM
Published By: AWS     Published Date: Jul 24, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
Published By: Mintigo     Published Date: Nov 20, 2017
Predictive Marketing is a fundamental shift in the way B2B companies engage buyers. In the first book of its kind, Mintigo CEO Jacob Shama explores how data science and AI enable marketers and sales reps to target, engage, and convert the most likely prospects with unparalleled precision. This ebook will guide you through the science, applications, and results of this new technology, and show you how to use it to empower your organization. Download now.
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Mintigo
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
• Do you want to win with AI in the hybrid, multi cloud world? Are you tackling data, algorithms and apps to drive business value from AI? We got you covered. Come and learn how you can simplify and scale your AI projects on Watson Studio. Hybrid cloud use cases spanning cloud, desktop and local are featured. Key Takeaways: • Open, trustworthy and secure approach to put AI to work for business • Go live and scale faster with AI-infused platform • Build train and deploy models across hybrid, cloud environments – including popular public cloud environments like AWS and Azure • Flexibility for cloud, on-premise and desktop deployment, bringing algorithms to wherever data resides • Progressing your AI/data science with Watson Studio • Register now and get ready to simplify and scale your AI investments to work for your business.
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Group M_IBM Q119
Published By: Quantum - Quinstreet     Published Date: Aug 10, 2011
Tape's evolving data storage role - Balancing Performance, Availability, Capacity, Energy for long-term data protection and retention
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quantum, quinstreet, data deduplication, deduplication, nas, network attached storage, remote replication, virtual tape library
    
Quantum - Quinstreet
Published By: Quantum - Quinstreet     Published Date: Aug 10, 2011
Need a Long-Term Archive Solution? Quantum Adds LTO-5 to Scalar Tape Libraries. Find our more in this whitepaper!
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quantum, quinstreet, data deduplication, deduplication, nas, network attached storage, remote replication, virtual tape library
    
Quantum - Quinstreet
Published By: Quantum - Quinstreet     Published Date: Aug 10, 2011
This paper outlines some of the important considerations for encrypting data on tape, and is intended to help IT administrators make the right decision for their environment and their company's data security needs.
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quantum, quinstreet, data deduplication, deduplication, nas, network attached storage, remote replication, virtual tape library
    
Quantum - Quinstreet
Published By: Quantum - Quinstreet     Published Date: Aug 10, 2011
This white paper shows how upgrading to LTO-5 technology and consolidating storage onto fewer tapes enables organizations to achieve a 5yr ROI and a 17-month payback period.
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quantum, quinstreet, data deduplication, deduplication, nas, network attached storage, remote replication, virtual tape library
    
Quantum - Quinstreet
Published By: Cisco     Published Date: Sep 07, 2016
This white paper is a guide to the rapidly evolving fields of big data management and data science.
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
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.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
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.
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ibm, spss, data analysis, statistics, risk mitigation
    
IBM
Published By: SAS     Published Date: Jul 22, 2019
Text is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices. Increasingly, organizations want to know how all of that data can be used to drive improvements. For many, unstructured text represents a massive untapped data source with great potential for producing valuable insights that could result in significant business transformations or spur incredible social innovation. This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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SAS
Published By: IBM     Published Date: Oct 15, 2013
Using analytics and personalized marketing to increase revenue and customer loyalty
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financial service marketing, data science, influencing the buying cycle, growth market opportunities, customer relationships, inbound marketing, event-based marketing, digital marketing
    
IBM
Published By: IBM     Published Date: Oct 15, 2013
Using analytics and personalized marketing to increase revenue and customer loyalty
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search engine marketing, multichannel retailers, data science, retail marketing, online channels, traditional channels, optimizing marketing efforts, high-value customers
    
IBM
Published By: General Atomics     Published Date: Jan 13, 2015
The term “Big Data” has become virtually synonymous with “schema on read” unstructured data analysis and handling techniques like Hadoop. These “schema on read” techniques have been most famously exploited on relatively ephemeral human-readable data like retail trends, twitter sentiment, social network mining, log files, etc.
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general atomics, big data, metadata, nirvana, hadoop
    
General Atomics
Published By: Altiscale     Published Date: Aug 25, 2015
Weren't able to attend Hadoop Summit 2015? No sweat. Learn more about the latest Big Data technologies in these technical presentations at this recent leading industry event. The Big Data experts at Altiscale - the leader in Big Data as a Service - have been busy at conferences. To see all four presentations (in slides and youtube video), click here. https://www.altiscale.com/educational-slide-kit-2015-big-data-conferences-nf/ • Managing Growth in Production Hadoop Deployments • Running Spark & MapReduce Together in Production • YARN and the Docker Ecosystem • 5 Tips for Building a Data Science Platform
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hadoop, hadoop technologies, hadoop information
    
Altiscale
Published By: IBM     Published Date: Jul 22, 2014
Listen to an interactive discussion (socialcast) with a select group of IBM Data Scientists that goes beyond the tools and tackles new ways your business can use data.
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ibm, it operations analytics, it operations, analytical applications, data, big data, it app infrastructure, cloud
    
IBM
Published By: Lattice Engines     Published Date: Jun 19, 2014
Everyone is talking about predictive analytics these days, but what does it mean for B2B marketers? Find out how top demand generation professionals are using predictive applications powered by leading edge data science to optimize all stages of the funnel. Read Lattice Engine’s latest ebook, Decoding Predictive Marketing, and learn where predictive fits into your marketing mix.
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lead scoring, marketing automation, predictive analytics, predictive marketing, predictive lead scoring, b2b marketing, lead nurturing, lead management
    
Lattice Engines
Published By: Sailthru     Published Date: Jul 01, 2015
The ability to know the next action of an individual customer is gold, quite literally, as this knowledge translates directly into revenue. True predictive intelligence has arrived, and it’s one of the most incredibly exciting advancements in modern marketing. With good reason given that for many brands as much as 95% of future revenue comes from a mere 5% of customers! But with any major advancement, messaging landmines threaten a marketer’s ability to identify the technologies that can actually deliver on the predictive promise.
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ecommerce, publishing, data science, predictive marketing, customer experience, personalization, marketing, strategy
    
Sailthru
Published By: ProofSpace     Published Date: Aug 07, 2007
This white paper presents a solution framework for Life Science Organizations that want to implement enterprise digital trust management to protect their electronic value chain.
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proofspace, proofmark, signing key vulnerability, trustworthy time, authenticated time stamps, time existence of data, electronic postmark, time stamp
    
ProofSpace
Published By: SchemaLogic     Published Date: Jun 11, 2008
In the Life Sciences industry, information is the source of innovation. Vast varieties of content and information sources feed the development pipeline. The ability to create, share, navigate, find and protect essential information is critical to research and development groups, clinicians, regulatory agencies, marketing teams, and those who benefit the most - customers.
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pharm, pharmaceutical, pharmaceuticals, medicine, life science, chemistry, chemical, biological
    
SchemaLogic
Published By: Aberdeen Group     Published Date: Nov 13, 2015
This report examines the pressing need to break down data silos due to the damage they cause to analytical initiatives and user engagement. Read this report to find out more.
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customer acquisition, marketing leads, marketing challenges, marketing messages, contact management, data science, demand generation, email marketing
    
Aberdeen Group
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