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  • Hyperconverged Analytics: Immersive, Smart, Real-time

    The emergence of disruptive technologies means that businesses aren’t seeing the same returns on BI. Read on to learn more about hyperconverged analytics—an approach to analytics and BI that provides your organization with flexible, real-time, advanced analytics and goes far beyond the scope of traditional BI.

  • Transform Operations with Real-time, Hyperconverged Analytics

    While historical analytics can be useful, true business innovation rests in the next wave of analytics—real-time streaming analytics models that are driven by adaptive AI and machine learning engines. Read this white paper to learn more about implementing hyperconverged analytics and using them to create instantaneous value from your data.

  • 6 Skills You Need to Become a Data Science Superhero

    Companies are asking a lot from their data scientists these days, and sometimes it can be overwhelming to play the role of the data superhero. Check out this infographic to learn the 6 skills you can cultivate in order to overcome any challenge you might face—and improve your value as a data scientist.

  • Hemlock Semiconductor: Driving Quality, Cost Leadership, and Agility with TIBCO Spotfire and TIBCO Data Science Software

    Businesses seeking to take ownership of their data costs, quality, and accessibility need to make sure that they’re investing in the right systems. Access this video to learn how TIBCO’s product stack helps Hemlock Semiconductor make real-time, data-driven decisions while increasing visibility into their systems and keeping costs low.

  • Process Mining for Insurance: Reduce Costs and Improve Efficiency

    Businesses in the insurance industry are well suited to using best practices and KPI to ensure that they’re running the way it should. But how can you truly evaluate the performance of big data architectures? Read on to learn how you can use process mining to ensure your data operations, and costs, are where you want them to be.

  • ML Ops: Operationalizing Data Science

    Machine learning and analytics models are built to be used, not shelved. But some estimate more than half of ML and analytics models don’t make it into production. Read this short e-book to learn how to operationalize data science by getting these tools into production—and stop wasting the time and resources you put into these models.

  • Data Management for Advanced Analytics

    Advanced analytics have become a hot topic for businesses, but although they have a reputation as next-level solutions, they can also be challenging to implement and use. Download this e-book to learn how to pair the right data management tools with your advanced analytics solutions, and truly use data to elevate your company’s performance.

  • Unlocking the Power of Data for Manufacturing

    Manufacturing produces a huge amount of data, with everything from inventory spreadsheets to machine maintenance logs being constantly updated. Unfortunately, the sheer volume of data often keeps business from embracing crucial digital transformation processes. Watch this video to learn how Tibco can help you unlock the power of your data.

  • Accelerating Innovation in Insurance

    Earning a competitive advantage from the data you have requires a holistic approach; proper data management creates the right setting for AI or machine learning, these tools empower automation and analytics to work better than ever before, and so on. Watch this TIBCO webinar to learn how data is powering innovation in the insurance industry.

  • How to Get Started with Sentiment Analysis and Improve Your CX

    To extract meaning and value from unstructured data, organizations can use sentiment analysis to parse semantics and raw text and better understand customer emotions and desires. Read this eBook to learn how to get started with sentiment analysis and improve CX.

  • High Tech Manufacturing in the COVID-19 era

    Watch this webinar to learn how TIBCO can help you simplify manufacturing digitization, and stand up to modern challenges.

  • How to Build a Smart City in 40 Minutes (or Less)

    Tune into this 40-minute webinar to learn what it takes to create a smart city that’s intelligent, connected, and predictive. You’ll also catch a peek at the latest innovations in smart city and IoT tech and how they can be used to enhance a smart city project.

  • 6 Skills to Develop Your Inner Data Science Superhero

    Read this e-book to discover 6 top skills you need to set yourself apart as a data scientist and how to hone them.

  • Why You Need Data Virtualization

    Tune into this video to learn about TIBCO’s data virtualization and how it can empower your team and users to access data across the network and query it as if it was centrally located.

  • The TIBCO Supply Chain Nervous System

    COVID-19 is driving many organizations to re-evaluate their supply chain strategies and look for opportunities to improve resiliency, flexibility and scalability. Watch this video to see how TIBCO can help you re-invigorate your supply chain to improve those 3 elements, and much more.

  • TIBCO Open Banking Solutions

    Open banking solutions can make providing sought-after personalized customer experiences easier. Learn about TIBCO’s open banking offering and how you can get started in this video.

  • Continued Process Verification: From Measurements to Manufacturing Insights

    In this eBook, explore how the quality-imposed requirements for CPV provide an opportunity for manufacturers to make significant improvements to process understanding, annual product review and adverse event cycle times, and ultimately reduce contamination, scrap and reject rates.

  • The Digital Retailer

    The retail industry has been massively disrupted by digital transformation, as many brick and mortar stores have had to struggle with customers demanding a personalized, online experience. Watch this video to learn how to overcome the challenges facing this industry with omnichannel experiences, mobile optimization, and more.

  • How Digital Twins and Model Ops Operationalize Data Science for Manufacturing

    Machine learning (ML) models are immensely useful tools for organizations seeking to build and understand digital twins for their real-life manufacturing processes. Read on to learn how you can quickly optimize manufacturing processes and provide your company with valuable real-time insight on your equipment and processes.

  • The TIBCO Supply Chain Nervous System

    The supply chain Is dealing with more volatility than ever before—especially in the wake of COVID-19. Download this white paper to see how you can apply AI, ML and automation to your supply chain to improve operations and succeed in the face of disruption.

  • How Data-centric Enterprises Are Accelerating the Shift to a Digital-first Business Design

    This white paper introduces a framework for digital commerce data initiatives and reveals the capabilities required to achieve success. Read on to learn how to navigate this volatile market and position your company for data-driven success with 5 key strategies.

  • Manufacturing Learnings Taken from Formula One’s Industrial Optimization Model

    View this infographic to examine strategies you can use to tackle data analysis and optimization in manufacturing.

  • Industries in Transition: A Framework for Data-centric Innovations in Retail

    Read this report to learn how to capitalize on 4 emerging trends in retail, overcome industry challenges, and drive data-centric success to attain and maintain leadership.

  • Open Banking Innovation and 5 Technologies for Creating a Competitive Advantage

    Read this paper to discover five cost-effective open banking building blocks that can empower your business with agility and self-service data access.

  • Applying Data Virtualization: 13 Use Cases That Matter

    Both Gartner and Forrester Research have projected the growth of data virtualization in the coming years, ranging from new adoptions to expanded deployments. The question now is, “Where can data virtualization be made most useful?” Check out this white paper to see 13 data virtualization use cases, and more.

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