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To analyse why operationalizing AI is so challenging, it’s important to understand the full lifecycle of an AI project, and identify the stakeholders involved. Through 2023, Gartner estimates that 50% of IT leaders will struggle to move their AI projects past proof of concept (POC) to a production level of maturity. To reduce this high failure rate, organisations need to build the right roles for AI success. In many organisations, data scientists are still wearing too many hats due to a dearth of talent across other roles. This session will highlight how, in order to successfully operationalise and scale AI POCs, organisations must to build diverse AI roles and skills with a collaborative structure that is paramount.

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According to Forrester Research, leaders in customer experience drive 5.1X revenue growth over laggards. And although 84% of companies aspire to be a leader in this space, only 1 in 5 successfully delivers good or great customer experience. Join us for our next webinar where Mike Gualtieri, VP and Principal Analyst at Forrester Research and Rajay Rai, Head of Digital Engineering at Macquarie Bank will share how Customer Experience can drive business results such as faster revenue growth, longer customer retention, greater employee engagement and improved profit margins. View webinar recording: https://youtu.be/eEc5tx-nHvI Explore past DataStax webinars: http://www.datastax.com/resources/webinars

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Data warehouse teams are under increasing pressure to prototype sooner, deploy solutions faster, create designs that more flexibly adapt as the business changes, and achieve better alignment with business goals. Watch this recorded webcast to hear how data warehousing teams are getting the most out of their data warehouses by modernizing the tools and methods they use through an Automation First approach.

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Your data is a strategic asset, and the benefits of your Hadoop deployment hinge on uptime, reliability, and expert guidance. Companies that have a specific plan with clear success criteria, benchmarks, and production goals are able to get the most from their journey to enterprise data hub (EDH), starting on day one. By leveraging insights from a proactive study of tens of thousands of nodes under subscription, Cloudera Enterprise customers can even minimize downstream issues before they occur. Learn how Cloudera: - Helps eliminate known issues and avoid common cluster misconfigurations - Guides better utilization of the EDH according to comparative analysis - Ensures enterprises optimize support resources for faster issue resolution

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How your very large databases can work in the cloud computing world? Presented by Moshe Kaplan from RockeTier, a performance expert and scale out architect at the IGT Cloud Computing work group at April 20, 2009 Cloud computing is famous for its flexibility, dynamic nature and ability to infinite growth. However, infinite growth means very large databases with billions of records in it. This leads us to a paradox: "How can weak servers support very large databases which usually require several CPUs and dedicated hardware?" The Internet industry proved it can be done. These days many of the Internet giants, processing billions of events every day, are based on cloud computing architecture such and sharding. What is Sharding ? What kinds of Sharding can you implement? What are the best practices? RockeTier specializes in analyzing and boosting existing software performance and developing efficient high-load systems You can contact Mr. Kaplan at moshe.kaplan at rocketier.com, read his blog at http://top-performance.blogspot.com and visit RockeTier site at www.rocketier.com

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We get recommendations everyday: Facebook recommends people we should connect with; Amazon recommends products we should buy; and Google Maps recommends routes to take. What all these recommendation systems have in common are data science and modern software development. Recommendation systems are also valuable for companies in industries as diverse as retail, telecommunications, and energy. In a recent engagement, for example, Pivotal data scientists and developers worked with a large energy company to build a machine learning-based product recommendation system to deliver intelligent and targeted product recommendations to customers to increase revenue. In this webinar, Pivotal data scientist Ambarish Joshi will take you step-by-step through the engagement, explaining how he and his Pivotal colleagues worked with the customer to collect and analyze data, develop predictive models, and operationalize the resulting insights and surface them via APIs to customer-facing applications. In addition, you will learn how to: - Apply agile practices to data science and analytics. - Use test-driven development for feature engineering, model scoring, and validating scripts. - Automate data science pipelines using pyspark scripts to generate recommendations. - Apply a microservices-based architecture to integrate product recommendations into mobile applications and call center systems. Presenters: Ambarish Joshi and Jeff Kelly, Pivotal

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As your organization's data sources rapidly proliferate, so does the challenge of managing an ever-growing and changing data ecosystem. Join us on November 19 for a special online encore presentation of our recent sold-out PASS Summit Lunch and Learn. Attend and hear how data warehousing teams are using automation to quickly and efficiently understand, harness, construct and manage the dataflows and pipelines organizations require in today’s ever-changing data management environment. During this webcast, you will hear how successful data warehousing teams are: - Meeting the challenge of changing data ecosystems head on by modernizing data warehousing tools and methods - Turning to automation to design, develop, deploy and operate new and existing data warehouses, data vaults, data marts and other data infrastructure faster - Better arming their teams as they work to help them more easily manage the changing data landscape in the cloud, on-premises or a hybrid of the two

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Analyze Big Data for Consumer Applications with Looker BI and Amazon Redshift Customizing the customer experience based on user behavior is a constant challenge for today’s consumer apps. Business intelligence helps analyze and model large amounts of data. Looker offers a modern approach to BI leveraging AWS that’s fast, agile, and easy to manage. Join this webinar to learn how MessageMe, which provides emotionally engaging messaging apps to consumers, leverages Looker business intelligence software and the Amazon Redshift data warehouse service to analyze billions of rows of customer data in seconds. Webinar topics include: • How MessageMe turns billions of rows of customer data stored in Amazon Redshift into actionable insights • How Looker connects directly to Amazon Redshift in just a few clicks, enabling MessageMe to build a modern, big data analytics in the cloud. Who should attend • Information or Solution Architects, Data Analysts, BI Directors, DBAs, Development Leads, Developers, or Technical IT Leaders. Presenters: • Justin Rosenthal, CTO, MessageMe • Keenan Rice, VP, Marketing & Alliances, Looker • Tina Adams, Senior Product Manager, AWS

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BI is the “Gathering of data from multiple sources to present it in a way that allows executives to make better business decisions”. I will describe in more detail exactly what BI is, what encompasses the Microsoft BI stack, why it is so popular, and why a BI career pays so much. I will review specific examples from previous projects of mine that show the benefits of BI and its huge return-on-investment. I'll go into detail on the components of a BI solution, and I will discuss key concepts for successfully implementing BI in your organization.

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As new types of data sources emerge from cloud, mobile devices, social media and machine sensor devices, traditional databases hit the ceiling due to today’s dynamic, data-volume driven business culture. Join us in this online webinar and learn how you can incorporate a modern, NoSQL platform into daily operations to optimize and simplify data performance. DataStax recently announced DataStax Enterprise 4.0, a production-certified version of Apache Cassandra with an in-memory option, enterprise search, advanced security features and visual management tools. Give your developers a simple and powerful way to deliver the information your customers care about most—unconstrained by the complexities and high costs of traditional database systems. Learn how to: - Easily assign data based on its performance needs on traditional spinning disk, SSD or in-memory. All in the same database instance - Leverage DataStax’s built-in enhancements for broader information search and analysis even with many thousands of concurrent requests - Visually monitor, manage, and fine-tune your environment to get the most of your online data

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Designing inclusive products is not only a social responsibility but also a business imperative. This talk delves into the journey of creating accessible hardware products that cater to diverse user needs. Key Topics Covered: 1. Introduction to Inclusive Design - Importance of accessibility in product design - Overview of Comcast's commitment to making products accessible to a wide audience 2. Case Study: Xfinity Large Button Voice Remote - Initial challenges and the evolution of the product - User research and feedback that shaped the design - Key features of the final product and their benefits 3. Designing for Diverse Needs - Understanding human-centered design and its historical context - The impact of designing for people with disabilities on overall product quality - Examples from other industries, such as architecture and industrial design 4. Integrating Accessibility from the Beginning - The cost and efficiency benefits of designing for accessibility from the start - The process of embedding accessibility as a core trait rather than an optional feature 5. Real-World Impact and Continuous Improvement - Insights from in-home studies with users having assistive needs - How continuous feedback and iterative design lead to better products - The role of inclusive research and development practices

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I'm excited to share my latest predictions on how AI, robotics, and other technological advancements will reshape industries in the coming years. The slides explore the exponential growth of computational power, the future of AI and robotics, and their profound impact on various sectors. Why this matters: The success of new products and investments hinges on precise timing and foresight into emerging categories. This deck equips founders, VCs, and industry leaders with insights to align future products with upcoming tech developments. These insights enhance the ability to forecast industry trends, improve market timing, and predict competitor actions. Highlights: ▪ Exponential Growth in Compute: How $1000 will soon buy the computational power of a human brain ▪ Scaling of AI Models: The journey towards beyond human-scale models and intelligent edge computing ▪ Transformative Technologies: From advanced robotics and brain interfaces to automated healthcare and beyond ▪ Future of Work: How automation will redefine jobs and economic structures by 2040 With so many predictions presented here, some will inevitably be wrong or mistimed, especially with potential external disruptions. For instance, a conflict in Taiwan could severely impact global semiconductor production, affecting compute costs and related advancements. Nonetheless, these slides are intended to guide intuition on future technological trends.

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Unlock the mysteries of successful Salesforce interviews in this insightful session hosted by Hugo Rosario (Salesforce Customer), a seasoned hiring manager that leads the Salesforce Department of multinational company with over 100 interviews under their belt. Step into the manager's chair and gain exclusive behind-the-scenes insights into what makes a Salesforce consultant stand out during the interview process. From deciphering the unspoken cues to mastering key strategies, we'll explore the intricacies of the interview process and provide practical tips for consultants looking to not only pass interviews but also thrive in their roles. Whether you're a seasoned professional or just starting your Salesforce journey, this session is your backstage pass to the secrets that hiring managers wish you knew.

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Discover the top Symfony development companies that excel in creating robust and scalable web applications. Our latest blog highlights the best firms specializing in Symfony, known for their expertise in delivering high-performance solutions. Whether you’re looking to start a new project or enhance an existing one, these companies offer the skills and experience needed to bring your vision to life. Read more to find your perfect Symfony development partner.

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Ever caught yourself nodding along when someone mentions "delivering value" in Agile, but secretly wondering what the heck they actually mean? You're not alone! Join us for an eye-opening session where we'll strip away the buzzwords and dive into the heart of Agile—value delivery. But what is "value"? Is it a mythical unicorn in the world of software development, or is there more to this overused term? This isn't going to be a sit-and-get lecture. We're talking about a face-to-face, interactive meetup where YOU play a crucial role. Come along to: Define It: What does "value" really mean? We’ll build a definition that’s not just words, but a compass for your Agile journey. Contextualise It: Discover what value means specifically to you, your team, your company, and your industry. Because one size does not fit all. Deliver It: Share strategies and gather new ones for uncovering and delivering true value—no more shooting in the dark!

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How to differentiate Sales Cloud and CPQ on first glance might be tricky if you do not know where to look and what to look at. You will know :-) Managing the sales process within Salesforce is a common use case that can be managed with standart Sales Cloud. If you want to do entire quoting process you will find out Salesforce CPQ solution exists. What is then the difference if both can handle selling products? You will see comparison of 10 different features, which Sales Cloud and Salesforce CPQ handle differently. Simple question you will always remember if you should consider using Salesforce CPQ will be a cherry on top.

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