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Siliconangle

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Heroku’s revitalized platform is using AI to automate business workflows

  • Salesforce Inc.’s Heroku has announced a fully cloud-native version of its platform, integrating artificial intelligence technology, Agentforce.
  • Heroku moved to a model with Kubernetes and OpenTelemetry and open-sourced its Twelve Factor principles for running and deploying applications.
  • The user experience remains simple and clean while offering improved performance, tools, and features like Graviton performance, EKS, ECR, Global Accelerator, and managed inference powered by Bedrock.
  • Heroku's new offering, Agentforce, allows business users to automate processes and create customized applications using natural language and no/low-code GUI-based workflows.

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SAP aims to expand cloud ERP as ‘GROW with SAP on AWS’ lands

  • SAP SE's cloud ERP solution, S/4HANA Cloud Public Edition, is now available for purchase on the AWS Marketplace.
  • Customers choosing cloud ERP gain access to innovation and regular updates, unlike traditional on-premise solutions.
  • The solution includes best practice processes that have been developed over the years based on ERP implementations with customers.
  • GROW with SAP on AWS allows customers to request more information on the ERP solution from SAP partners.

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Enhancements for SageMaker and Bedrock highlight AWS vision for integrated AI platform

  • Amazon Web Services Inc. aims to position itself at the center of the AI conversation.
  • AWS highlights its SageMaker and Bedrock offerings in creating an integrated AI platform.
  • The focus is on providing the easiest and most scalable way for customers to develop generative AI applications.
  • AWS launches updates for SageMaker and introduces Amazon Nova for rapid inference on Bedrock.

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Siliconangle

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AWS reimagines cloud modernization with AI-powered solutions

  • AWS Inc. provides innovative tools such as Amazon Q Developer and S3 Tables to simplify migrations and optimize data management for scalable, AI-driven solutions
  • AI-driven cloud innovation plays a pivotal role in simplifying complex migrations and optimizing data management for scalable, AI-driven solutions
  • Q Developer is a transformative tool that reduces the time to migrate to the cloud by using the tool’s AI capabilities that enable seamless integration between networks.
  • Toyota Motor in North America used Q Developer to modernize 40-year-old mainframe applications integral to its supply chain by leveraging AI-driven capabilities.
  • The advancements in data management by AWS, such as S3 Tables and S3 Metadata, simplify managing large-scale data lakes and ensure compatibility with diverse compute engines.
  • AWS’ continuous focus is on customer-driven innovation, creating tools that address real-world challenges by listening to its customers.
  • Businesses can streamline both their migrations and their ability to leverage data, paving the way for transformative growth in the cloud era.
  • AWS’ Mai-Lan Tomsen Bukovec discussed AI-driven cloud innovation and how AWS simplify cloud migrations and data management to streamline processes with theCUBE Research’s Dave Vellante.
  • The tool’s AI capabilities enable seamless integration between VMware and AWS networking environments, cutting down the migration timeline dramatically.
  • S3 Tables, which integrate with Apache Iceberg, allow businesses to run SQL queries and leverage AI more efficiently.

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Greylock’s Jerry Chen unpacks the shift to AI-native cloud trends

  • Cloud computing trends are entering a pivotal era as artificial intelligence reshapes how businesses and developers operate.
  • Developers now wield advanced coding platforms and large language models, enabling rapid innovation, while enterprises integrate AI-driven workflows to unlock new possibilities and transform competitive strategies.
  • Cloud technology has evolved from data center migrations to cloud-native applications, and now it is entering an AI-native phase powered by tools such as GitHub Copilot and large language models, enabling developers to create smarter, more efficient applications with less effort.
  • The debate around bundling versus unbundling of cloud services is relevant, with companies such as Amazon and Google bundling AI tools into their broader cloud ecosystems, but specialized platforms like GPU clouds and bespoke AI infrastructure providers signaling a potential shift toward unbundling.

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Google Cloud named a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools

  • Google Cloud has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools.
  • Google's position is based on delivering continuous customer innovation in areas such as unified data to AI governance, flexible and accessible data engineering experiences, and AI-powered data integration capabilities.
  • Traditionally, data integration was seen as a separate IT process solely for enterprise business intelligence. But with the increased adoption of the cloud, there is a move away from legacy on-premises technologies and towards a more unified approach that enables various users to access and work with a more robust set of data sources.
  • BigQuery's unified data and AI capabilities combined with Google Cloud's comprehensive suite of fully managed services, empower organizations to ingest, process, transform, orchestrate, analyze, and activate their data with unprecedented speed and efficiency.
  • Google Cloud offers a powerful suite of integrated tools to help users easily connect analytical insights with operational systems to drive real-time action.
  • Without strong data governance, businesses risk costly errors, security breaches, and a lack of trust in the insights they generate. BigQuery treats governance as a core component, not an afterthought, with a range of built-in features that simplify and automate the process.
  • Google Cloud's infrastructure is purpose-built with AI in mind, allowing users to easily leverage generative AI capabilities at scale.
  • Google looks forward to continuing to innovate and partner with clients on their data transformation journey.
  • Gartner does not endorse any vendor, product, or service depicted in its research publications, and this recognition should not be construed as a statement of fact.
  • The Gartner Magic Quadrant for Data Integration Tools report is available for download on Google Cloud's website.

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How to Build a Story Around Data

  • Offering context is essential in addressing biases around data.
  • Leaders need to be good storytellers in presenting data.
  • Leaders should surface potential misinterpretations of data.
  • Acknowledging the context of information for diverse stakeholders is crucial.

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Debunking Common Myths About AI on the Internet

  • AI is not eliminating jobs but changing the nature of work.
  • Current AI systems are specialized tools, lacking general intelligence of humans.
  • AI systems can perpetuate biases present in the training data.
  • AI has been evolving for decades and requires human oversight.

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AWS boosts cybersecurity efforts with updates to Security Lake

  • Amazon Web Services (AWS) announced updates to its cybersecurity services, including Security Lake and Open Cybersecurity Schema Framework at its re:Invent conference.
  • Security Lake is a data lake that centralizes customers' security data to help businesses in defending against cyberattacks.
  • AWS integrated Security Lake with OpenSearch, allowing customers to analyze their data efficiently and reducing the cost of service.
  • Open Cybersecurity Schema Framework (OCSF) has become a Linux Foundation project, promoting open-source cybersecurity solutions for data analysis and machine learning.

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Unlocking AI’s Potential in Higher Education

  • AI can transform the ways we communicate, make decisions and solve problems in our daily lives, including education
  • More than 50% of students in the US expect that their use of generative tools will increase over the next six months, and at least 38% are already using the tools during their studies
  • Many institutions in higher education don't know how to leverage the full potential of AI or integrate it well with learning and instruction
  • Equipping teachers with AI expertise is the need of the hour to leverage AI's potential
  • Institutions should offer targeted training, hands-on workshops, and peer support to close the gap between AI skills and knowledge of teachers and students
  • Faculty should experience AI firsthand to understand its benefits. They can use it to ease administrative responsibilities, giving them more time to enhance lessons and educational experiences
  • Responsible AI use in education must ensure that AI systems support learning and well-being while protecting student data and privacy
  • AI applications must be implemented fairly, ensuring all students have equal access to personalized learning experiences
  • Institutions need to create comprehensive AI policy frameworks and guidelines to guide the responsible use of AI in higher education
  • Embracing AI in higher education will allow students to develop skills they need for the workforce and become the leaders of tomorrow

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Medium

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Understanding SQL HAVING Clause: Advanced Filtering After Aggregation

  • The HAVING clause is used to filter records that meet specific conditions after an aggregation is applied.
  • It is often used with the GROUP BY clause to narrow down the results based on the results of aggregate functions.
  • By understanding how to apply the HAVING clause, you can enhance your querying capabilities.
  • Happy querying!

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Generative AI meets telecommunications: AWS redefines network agility and customer experiences

  • AWS is leveraging generative AI to transform the telecommunications industry.
  • Generative AI helps in network operations, business and product creation, and customer experiences.
  • AI-driven insights enable telcos to modernize applications and enhance agility.
  • Telcos are embracing cloud-enabled agility for revenue growth and operational flexibility.

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The AWS impact: How Caylent is empowering businesses to innovate and scale in the cloud

  • Caylent Inc. empowers businesses to achieve agility, scalability, and innovation in the cloud by aligning AWS tools and services with organizational goals.
  • Caylent is an AWS premier tier consulting partner, providing services for heterogeneous database migrations, on-prem to AWS migrations, app development, and more.
  • AWS's innovation prowess and experience running operations at scale contribute to limiting the scope of failures and ensuring system stability.
  • The collaboration between AWS and Caylent enables testing and feedback for new services, driving innovation, cost savings, and global connectivity in the cloud.

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Key BI insights from re:Invent 2024: Data reduction and visibility innovations in focus

  • Siemens Digital Industries Software has partnered with Cribl Inc. for data reduction and operational visibility.
  • Cribl Stream helped Siemens achieve up to a 95% reduction in data volume.
  • Siemens customized data formats with Cribl, improving efficiency of security workflows.
  • Cribl enabled Siemens analysts to easily access and analyze data without relying on multiple tools.

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Heroku announces modernized, cloud-native version of its platform

  • Heroku, Salesforce Inc.’s platform-as-a-service, is renovating the Heroku platform to encompass all the latest cloud technology.
  • Heroku announced pilot availability for a fully cloud-native version of the platform.
  • The updated platform includes a Kubernetes conformant control plane and increased performance.
  • Heroku has implemented Agentforce and open-sourced the Twelve Factor project for improved access to models and application deployment.

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