Formerly known as Wikibon
Search
Close this search box.
Book a Briefing

Road to Intelligent Data Apps

with George Gilbert

About the podcast

In Road to Intelligent Data Apps, theCUBE Research Senior Analyst George Gilbert explores why intelligent data apps are the next frontier. As we move beyond the last decade in data and analytics, which was all about cloud architecture and separating compute from storage, and into the next decade, which is all about separating compute from data, we’ve evolving into a whole new system of truth.

episodes

The Role of Causality in Agentic AI

There is a missing ingredient in today’s AI, which, when added, will make AI a truly indispensable partner in business and scale ROI over the long run. This ingredient is also fundamental to creating agentic AI systems, where networks of agents help humans make decisions, solve problems, and even act on their behalf. The missing ingredient is CAUSALITY and the science of WHY things happen. Learn more about the advent of causal AI and its role in enabling next-generation AI agents.

HashiCorp’s HashiConf Boston sets Cloud Direction

Exploring HashiCorp’s strategic focus, recent product innovations, and implications of its pending IBM acquisition, as highlighted at HashiConf Boston 2024. HashiCorp’s shift from on-premise tools to SaaS-based managed services on a unified platform is designed to support enterprise-scale infrastructure and security lifecycle management (ILM and SLM). New features in Terraform and Vault address critical needs in cost control, security, and automation, with additions like Terraform Stacks, Vault Radar, and enhanced interoperability across product lines. HashiCorp’s move to the Business Source License (BSL) has sparked industry discussions, especially in light of OpenTofu’s open-source alternative. With IBM’s potential resources in R&D and FinOps, HashiCorp is poised to drive further innovation in hybrid cloud operating models for high-spend enterprise customers. This note provides an in-depth look at the company’s direction, the evolving IaC landscape, and competitive dynamics in the infrastructure as code (IaC) market.

IT Nation Connect 2024 Is Coming

Principal Analyst Christophe Bertrand spoke with Greg Lalle, SVP and GM of IT Nation, a key community for IT professionals. IT Nation Connect focuses on education and networking, helping Managed Service Providers (MSPs) transition to advanced security services. With a growing emphasis on AI and cyber resilience, MSPs must innovate in delivery and marketing. IT Nation fosters collaboration, ensuring participants gain actionable insights for growth in the evolving IT landscape.

Kaseya’s DattoCon 2024: Business, Not Just Tech

DattoCon 2024 in Miami Beach highlighted the vital role Managed Service Providers (MSPs) play in supporting Small and Medium-sized Businesses (SMBs), which are crucial to the workforce and global GDP. The conference addressed the significant opportunity for MSPs as technology spending is projected to increase fivefold. However, many MSPs struggle with low profit margins, emphasizing the need for better cost management. Cybersecurity emerged as a key concern, with a rise in cyberattacks targeting SMBs, prompting Kaseya to introduce technologies that enhance security. Simplifying operations by consolidating software tools can also help MSPs improve their efficiency and profitability.

Event Store Expands Cloud Offerings, Appoints New Leadership to Drive Growth in Event-Native Data Platforms

In a recent episode of our AnalystANGLE series, I had a conversation with Kirk Dunn, the newly appointed CEO of Event Store, and the opportunity to delve into the company’s latest developments and its vision for the future of data platforms. Event Store, pioneering the event-native data platform space, has made significant strides with new leadership appointments and expansions to its cloud offerings. Event Store Expands Cloud Offerings … watch the full video interview here: New Leadership to Drive Growth In exciting news, Event Store has reunited industry veterans Kirk Dunn and David Wang. Dunn, joining the company as CEO, brings extensive operational experience, including a successful tenure as COO at Cloudera. Wang joins as VP of Engineering, bringing over two decades of expertise in distributed systems, storage, and data streaming from companies like Redpanda, Rubrik, and Cloudera. “Data platforms are where enterprise value is created,” Dunn explained during our

AI Talent: Act Now Before It’s Too Late

One of the most critical success imperatives for AI is lacking the critical attention it needs – the imperative to win the battle for the best PEOPLE. Explore the supply and demand dynamics of the AI talent marketplace and why you must act now.

Navigating and Securing Open Source in the Cloud-Native Era

The rapid adoption of open-source software (OSS) in enterprise and cloud-native applications has revolutionized the technology landscape, offering unprecedented innovation and agility. However, this proliferation comes with significant security challenges, particularly in managing vulnerabilities within OSS components, including outdated or abandoned ones. We explore the current state of OSS usage in enterprises, the associated security risks, and strategies to address these challenges and why “shift-let” alone is not enough. We also examine how companies like Kosai are innovating solutions to help organizations secure their software supply chains effectively.

The Causal AI Marketplace

There is a missing ingredient in today’s AI, which, when added, will make AI a truly indispensable partner in business. The missing ingredient is CAUSALITY. Explore the emergence of the Causal AI marketplace.

Harnessing the Power of Enriched Metadata for Cloud Workloads

As organizations continue to distribute applications and infrastructure across public clouds, private data centers, and edge locations, securing and managing workloads across these private and public cloud environments has become critical. Whether it’s an enterprise resource planning (ERP) system or business analytics applications, these workloads require robust security measures, consistent service delivery, and seamless performance monitoring. Achieving these goals, however, is becoming increasingly complex, especially when dealing with disparate infrastructure deployed across different cloud environments. Gigamon recognized these struggles and created GigaVUE Enriched Metadata (GEM) for Cloud Workloads to overcome these challenges. The enriched metadata provides the ability to standardize workload monitoring, security, and performance management by drawing on workload context directly from cloud services and network traffic. At their recently held Visualyze Bootcamp customer conference, they outlined the value of enriched metadata and GEM for Cloud Workloads, highlighting that organizations can gain actionable insights to enable security compliance, accelerate

Pedal To The Metal Against Ransomware With Cobalt Iron

raditional backup and recovery methods have shortcomings in protecting against ransomware. Ransomware attackers often target backup repositories, compromising an organization’s ability to recover data without paying the ransom. Cobalt Iron’s solution addresses these shortcomings with their solution to enhance organizations’ cyber resilency.

Optimize Network Operations

Modern IT environments are highly dynamic and constantly evolving, creating numerous challenges for network operations teams. With more devices connecting to networks due to IoT and hybrid work, and the need for seamless connectivity across all locations, operations teams are under pressure. I had the opportunity to sit down with Anil Varanasi, the founder of Meter, highlighting how Meter addresses these challenges with innovative solutions to optimize network operations. The Growing Complexity of Networks According to recent research by theCUBE Research and ZK Research, 80% of organizations find their networks are more or much more complex than just two years ago. This complexity is driven by the proliferation of devices, the amount of data being transported over a distributed environment and having to leverage multiple management tools.  Whether it’s a school, a warehouse with automated robots, or an office with remote workers, networking has become a critical part of operations.

Expanding on Execution Engines and Composable Data Platforms

ABSTRACT: The future of intelligent data platforms is being reshaped by the growing adoption of composable architectures and cutting-edge execution engines. This research delves into transitioning from traditional, monolithic data systems to flexible, scalable, and high-performance modular data platforms. Key technologies like the Theseus execution engine, which utilizes GPU-accelerated hardware, are highlighted for reducing energy consumption while drastically enhancing query performance. Emphasizing the critical role of open standards and interoperability, the article explains how organizations can build custom data platforms that integrate best-of-breed components from various vendors. The benefits of composable data platforms, such as cost efficiency, innovation, and freedom from vendor lock-in, are explored alongside the challenges of managing complexity, ensuring consistent performance, and maintaining security. As AI and big data analytics converge, this analysis anticipates the future landscape of data platforms, where advanced composability and execution engine technologies will empower businesses to stay competitive in an increasingly data-centric

Commvault’s Laser Focus On Cyber Resilience

The conversation provides insights into a recent outage that affected various companies globally. Tim Zonca from Commvault discusses the widespread impact of the outage and emphasizes the importance of being prepared for such events, whether they are malicious or not. He also highlights the interconnected nature of technology and the need for organizations to have contingency plans to address similar incidents in the future.

Kaseya To The Rescue

Kaseya explains the cause of the July 2024 global outage and highlights the challenges faced in recovery due to the large number of affected endpoints. The conversation emphasizes the need for a quick and scalable resolution, detailing Kaseya’s involvement in the recovery and software solutions business.

Paris 2024 Olympics: Tech Innovation on Display

As the Paris 2024 Olympics approach, there has been a lot of buzz about the tech innovation that will no doubt play an outsized role at the games, ranging from enhancing the fan experience to helping ensure safety for attendees. It’s fascinating to see how this technology integrates into large-scale events. I sat down with Rob Strechay, my colleague and fellow analyst here at theCUBE Research, to discuss some key technologies making headlines

Unlocking the Future of Mainframes: Why They’re More Relevant Than Ever!

Mainframes continue to be a critical component of enterprise data strategies, evolving to meet the demands of modern data environments. This article explores the modernization of mainframes, their significance for real-time analytics, and their integration with AI and ML applications. It highlights the sustainability advantages of mainframes, their robust security and governance features, and their strategic role in future data infrastructures. By embracing modernization without disruption, businesses can leverage the scalability, reliability, and security of mainframes while integrating them with cloud-native technologies and modern data platforms. The future of mainframes is bright, offering a path to innovation and growth for organizations.

HPE and NVIDIA Rock the Sphere

Discover how HPE is revolutionizing AI and sustainability at HPE Discover 2024. Learn about HPE Private Cloud AI, Nvidia AI Computing by HPE, advanced networking solutions following the Juniper acquisition, and innovative sustainability practices. Explore HPE’s holistic approach to AI deployment and its commitment to reducing environmental impact through cutting-edge liquid cooling technologies. Find out how HPE is shaping the future of AI and sustainable IT.

Dell Focuses on AI Factories: Highlights the Importance of Networking

Dell Technology World 2024 took place at the Venetian Expo Center last week, just a stone’s throw from the Sphere, celebrating 40 years in business. As has been the theme of tech events this spring, Dell also focused on AI and, more specifically, the Dell AI Factory. As Michael Dell explained, the stated goal of these AI factories is to bring AI to the data and leverage these factories to convert data to intelligence for a business. Jensen Huang of NVIDIA highlighted this significance by stating, “For the very first time in history, we now have the ability to manufacture intelligence”. To accelerate the building of these AI factories, Dell and its partner ecosystem will provide all the infrastructure and services required to build these on-premises environments. This includes high-performance servers, GPUs, networking, storage, and even AI-enabled PCs. To optimize these AI factories, Dell made many new product announcements including

What about Data?

Exploring the crucial role of data in business operations and the challenges organizations face in managing and safeguarding it.

Red Hat Summit and AnsibleFest 2024: AI’s Linux Moment

The 2024 Red Hat Summit and AnsibleFest in Denver highlighted the pivotal role of open-source AI in accelerating organizational transformation and innovation. The event emphasized the transformative potential of open-source AI infrastructure, showcasing significant announcements, one being the open sourcing of IBM’s Granite Models. Red Hat’s commitment to an open partnership model was evident, aiming to democratize AI through collaborations that tailor solutions to customer needs. Other key announcements included the RHEL Image Mode and RHEL AI, which focused on enhancing the deployment and management of AI applications across hybrid cloud environments. The event also marked the launch of InstructLab, a community-driven project for creating synthetic data and fine-tunig large language models (LLMs) in an open-source framework. Additionally, OpenShift AI’s evolution was showcased with new capabilities for model deployment and management, focusing on enhanced developer productivity and operational efficiency at scale. Overall, the event underlined the critical role of community and open-source frameworks in advancing AI technologies and strategies for future developments.

Riverbed Ramps Up Innovation: Launches AI-Powered Platform and Much More

In case you missed it this week, Riverbed had a significant technology and innovation launch, rolling out a new platform along with several new or enhanced solutions designed to optimize experiences and drive operational efficiencies. In this launch, Riverbed unveiled its AI-powered, open observability platform, supported by a new unified agent, data store, and topology viewer. If that wasn’t enough innovation, the launch also included several other new solutions including Riverbed Aternity Mobile, Riverbed NPM+, Riverbed IQ 2.0, and an enhanced Riverbed NetProfiler. My first take on this launch is one of a company level. Riverbed has been in business for a couple of decades and has always remained focused on delivering high-fidelity data across the networking and application domains. However, over time those technologies were separated. Now that both those technologies are together again, it is great to see the integration and innovation accelerating to deliver even more value

IBM + HashiCorp + Red Hat: It’s about the Cloud Operating Model

IBM’s acquisition of HashiCorp presents a pivotal moment for multi-cloud and hybrid cloud deployments. With a focus on aligning missions and accelerating growth, IBM intends to operate HashiCorp independently, akin to the Red Hat model. Synergies in product offerings, particularly Terraform and Vault, promise enhanced cloud operations. Financially, increased investment in R&D and cloud-hosted solutions is anticipated, leveraging IBM’s extensive customer base. Licensing discussions hint at potential adjustments, reflecting industry trends. Amidst integration challenges, preserving HashiCorp’s culture remains paramount. With implications for the cloud operating model landscape, including OpenShift versus VMware, the acquisition signifies a transformative phase for cloud infrastructure providers.

AI-Powered Metadata: Informatica’s Role in the Future of Data Management

Metadata plays a pivotal role in modern data management, helping organizations streamline data utilization across industries. A unified metadata system addresses integration challenges by harmonizing diverse data sources into a coherent knowledge graph, while AI automates complex processes such as data ingestion, transformation, and pipeline creation. This network effect strategy enhances metadata quality throughout the data lifecycle, and advanced entity resolution capabilities ensure accurate 360-degree views of customer data. Metadata management empowers stakeholders, from data engineers to business analysts, to make informed decisions and boost productivity. The continued integration of AI into metadata management systems aims to develop intelligent data platforms, products, and apps, driving innovation in data management.

Zoom News and Announcements from Enterprise Connect

On this episode of our AnalystANGLE series, I explored Zoom’s announcements out of Enterprise Connect, held a couple of weeks ago in Orlando. Zoom announced many new features to its AI-powered collaboration platform, Zoom Workplace. Zoom Workplace brings the entire Zoom ecosystem under one roof for meetings, team chat, and phone interaction and can be seamlessly integrated into existing technologies. As expected, Zoom’s AI Companion is at the core of Zoom Workplace and is included at no additional cost, which is a significant differentiator from Zoom’s competitors. With a nod to some earlier troubles on this front, Zoom made a special point to note on more that one occasion that the company does not use any customer data or third-party data to train its AI model. While AI companion was introduced in September 2023, Zoom has added new capabilities such as auto language detection capabilities to generate more valuable summaries

Kyndryl Cloudflare, Dell’s Gen AI Solutions, NVIDIA GTC, and Nile’s AI Networking Solution

We also discuss Cloudflare’s acquisition earlier this month of multicloud networking startup Nefeli Networks, Dell’s expansion of its Gen AI Solutions Portfolio in collaboration with support from NVIDIA. We covered news out of NVIDIA’s GTC event this past week, including announcements around NVIDIA NVlink and 6G research platform. And last but not least, we touched on news from Nile introducing the industry’s first AI Networking Solution with performance guarantee

From Youtube

The Road to Intelligent Data Apps In this new video series: The Road to Intelligent Data Apps, theCUBE Research analysts Shelly Kramer and George Gilbert explore why intelligent data apps are the next frontier. As we move beyond the last decade in data and analytics, which was all about cloud architecture and separating compute from storage, and into the next decade, which is all about separating compute from data, we've evolving into a whole new system of truth. Find out more about theCUBE’s coverage of AWS re:Invent https://events.cube365.net/supercloud/aws-reinvent-2023-cube-coverage This series explores the opportunities and challenges ahead, with a preview of AWS re:Invent 2023, along with thoughts on some current players in this arena. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ Catch up on the most recent episode of the AnalystANGLE https://www.youtube.com/playlist?list=PLenh213llmcYnzc3JScBR0fSUUWbHh1EH
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC41NkI0NEY2RDEwNTU3Q0M2

Shelly Kramer & George Gilbert | The Road to Intelligent Data Apps

7.9K views

This is theCUBE's latest episode in our series, The Road to Intelligent Data Apps, which focuses on the evolution of the modern data stack into the new platform for applications, or what we’re calling “the sixth data platform.” This modern data stack is becoming the new platform for applications as raw cloud infrastructure recedes into the background. In this series, we feature insights from some of the brightest minds in the tech world. For this episode, theCUBE Research principal analyst Shelly Kramer welcomes Bob Muglia, who pretty much needs no introduction, certainly within the tech industry. Check out the latest from theCUBE, including upcoming tech events https://www.thecube.net/ Bob was president of the precursor to Microsoft’s Enterprise Division, growing it to $14 billion in revenue. Most recently, Bob was CEO of Snowflake, leading it from $0 revenue and guiding the company to an IPO, which was the largest ever debut of an enterprise software company. Today, Bob is an investor, advisor and mentor to some of the most exciting companies driving the evolution of the modern data stack. Bob is also the author of The Datapreneurs, which focuses on the promise of AI and the creators who are building our future. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ Our conversation explored what’s involved in building a modern data platform, as well as a deep dive into the five major data platforms in use today: Databricks, Snowflake, Microsoft, Google, and AWS, comparing and contrasting their capabilities, market differentiators and challenges they face. Keep up to date on the latest from “The Road to Intelligent Data Apps” series https://www.youtube.com/playlist?list=PLenh213llmcZqC497QEtozx0BUldKQpbd We also explored the role we expect generative AI to play in accelerating all aspects of application development (e.g. for modeling data and the business), as well as a discussion around the role of Relational Knowledge Graph in reimagining data and apps. As expected, Bob had great insights to share and the conversation is truly the ultimate insider’s guide to the future of the modern data stack. #dataapps #intelligentdataapps #Snowflake #Databricks #Microsoft #Google #AWS, #generativeAI #theCUBEResearch #TheDatapreneurs #dataplatform #moderndataplatform #relationalknowledgegraph #applicationdevelopment #applications #applicationplatforms #creators #creatoreconomy #artificialintelligence #AI
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC4yODlGNEE0NkRGMEEzMEQy

The Ultimate Insider’s Guide to the Modern Data Stack with Bob Muglia

9.1K views

In this episode of The Road to Intelligent Data Apps, theCUBE Research analysts Shelly Kramer and George Gilbert are joined by Rahul Auradkar, EVP and GM, Salesforce Data Cloud and Einstein Platform, for a discussion centered on intelligent data apps and the transition that is underway as organizations work to shift the way data is managed and upleveled throughout an organization. Check out the latest from theCUBE, including upcoming tech events https://www.thecube.net/ Auradkar shared insights on Salesforce Data Cloud, the vision behind what Salesforce is doing, and the impetus and genesis of Data Cloud, along with thoughts on the set up needed for the metadata-driven approach. This includes embedding and integrating all data so that there is an enterprise-wide view of the status of an enterprise, and then shifting that view from strings to things by capturing all the intelligence that has traditionally been siloed in operational apps. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ Intelligent data apps can call on all the "things" and each other to engage with people and customers through insights and automation. But this doesn't come without challenges; including the reality that putting intelligence into "things" requires metadata, which must be standardized and shared throughout the organization. Keep up to date on the latest from “The Road to Intelligent Data Apps” series https://www.youtube.com/playlist?list=PLenh213llmcZqC497QEtozx0BUldKQpbd #intelligentdata #Salesforce #theCUBEResearch #DataCloud #metadata #enterpriseapps #intelligentdataapps #SalesforceDataCloud #vectordbsearch #einsteincopilot #analytics #dataanalytics #datamanagement
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC4wMTcyMDhGQUE4NTIzM0Y5

Salesforce Data Cloud uplevels the modern data stack | The Road to Intelligent Data Apps

8.1K views

Welcome to this episode of The Road to Intelligent Data Apps, a video podcast delving into the future of data. Hosted by Dave Vallante, chief analyst, alongside George Gilbert, senior analyst, both with theCUBE Research. Today's guest is Soma Somasegar, managing director at Madrona Venture Group. A seasoned professional, he joined Madrona Ventures in 2015, specializing in B2B and Enterprise startups following a successful 27-year tenure at Microsoft, where he served as VP of the developer division. Check out the latest from theCUBE, including upcoming tech events https://www.thecube.net/ The discussion revisits Madrona's Intelligent Application Summit, exploring the concept of intelligent apps and their significance. Somasegar highlights the evolution of AI investments over the past decade, emphasizing the transformative potential of intelligent applications. From the data explosion to continuous learning systems, the conversation underscores the pivotal role of AI in reshaping enterprise apps and the modern data stack. Additionally, there's a glimpse into the future of AI-driven ERP and CRM solutions, signaling a shift towards innovation in established markets. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ Keep up to date on the latest from “The Road to Intelligent Data Apps” series https://www.youtube.com/playlist?list=PLenh213llmcZqC497QEtozx0BUldKQpbd #TheRoadtoIntelligentDataApps #theCUBE #theCUBEResearch #MadronaVentures #IntelligentApplicationSummit #AI #ERP #CRM
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC41MjE1MkI0OTQ2QzJGNzNG

Madrona Ventures' Soma Somasegar | Road to Intelligent Data Apps

2.1K views

In this episode of The Road to Intelligent Data Apps, Shelly Kramer, managing director and principal analyst at theCUBE Research is joined by analyst George Gilbert and Jason Pohl, Senior Director of Data Management for Databricks This is part of our continuing conversation about the Sixth Data Platform, an emerging data platform where the leading vendors are Databricks, Snowflake, AWS, Azure, and Google. If you're new to this conversation, what we’re seeing in this evolution is that the data platform is actually becoming an application platform, as all applications are becoming driven by data, analytics, and AI. For our discussion today, we take a closer look at Databricks; both the company roadmap and the customer activity, and we’re thrilled to have Jason join us. First, some historical context: Snowflake defined the modern data stack with the separation of compute from storage, which essentially allowed the management of infinite amounts of data in a data lakehouse architecture. The data lakehouse gave customers a simple solution for managing their end-to-end data analytic data estate. And here’s where it gets interesting: We see Databricks redefining Snowflake's core innovation of separating storage from compute and that's part of the reason we were excited about this conversation with Jason. Our discussion covered a variety of things, including: - An overview of the Databricks' version of the data lakehouse, in which storage and compute can come from different vendors. - The process by which end-to-end data management shifts to end-to-end data governance in the Databricks Unity catalog - A key differentiator for Databricks is that different compute engines, including Snowflake, can run different workloads on the data, providing customers with a much wider price, choice and performance or capabilities. - An exploration of what a data lakehouse is and how it differs from a more traditional data platform (e.g., multi-vendor compute versus single vendor, governance separate from DMBS, etc.), as well as what the ability to write data in open format for multiple engines means for customers. - An overview of how Databricks' Intelligent Lakehouse solution works and how that benefits customers. We discussed workloads and what distinguishes them and explored where customers are in deployment and production of their AI workloads, along with how customers can leverage the tools and pipelines in traditional ML workloads in building their Gen AI functionality. Other topics covered include: - Application platforms and how we expect the definition of apps will change over time. How this impacts how devs build apps and operationalize analytics, and the role of workflow and transaction support. - There was much discussion around data governance and its key role, as well as multi-vendor data estates and how and when customers are using compute engines from multiple vendors. - Databricks' Unity Catalog and the growth capabilities they envision there over time, as well as how customers plan to implement Unity. We wrapped the episode with a conversation about Databricks' vision for the Intelligent Lakehouse and what we collectively see ahead for the industry.
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC4wOTA3OTZBNzVEMTUzOTMy

Databricks on Intelligent Data Apps | Road to Intelligent Data

1.4K views

00:00 - Exploring Innovation: The Journey and Architectural Insights of Madan Thangavelu 04:15 - Core Entities in Uber's System 06:37 - Business Process Logic in Microservices 09:48 - Transaction Logic and App Development 14:55 - AI/ML in Real-time Context 24:13 - Uber Rider App Evolution 30:18 - Modular Architecture for Scalability 36:20 - Integrating Logic, Insights, and Future Perspectives In this interview, Madan Thangavelu, senior engineering director for Uber's flagship Rider app, talks to theCUBE Research’s George Gilbert as he reflects on his decade-long journey at Uber and the app's evolution from a simple A-to-B travel platform to a multifaceted service offering package delivery, car rental and even train booking. Check out the latest from theCUBE, including upcoming tech events https://www.thecube.net/ Thangavelu delves into the real-time nature of Uber's system, emphasizing the need for synchronization across layers and microservices to ensure up-to-date information for users and drivers alike. He also discusses the development of standardized APIs and libraries, enabling seamless interactions and transactions within the app's complex ecosystem. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ Thangavelu explores the challenges of managing a real-time system at scale, highlighting the importance of anomaly detection and real-time metric monitoring to maintain system reliability. Ultimately, Thangavelu envisions leveraging large amounts of real-time data to create even more dynamic and personalized app experiences in the future. Keep up to date on the latest from “The Road to Intelligent Data Apps” series https://www.youtube.com/playlist?list=PLenh213llmcZqC497QEtozx0BUldKQpbd #TheRoadtoIntelligentDataApps #theCUBE #theCUBEResearch #Uber #synchronization #Apps
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC41MzJCQjBCNDIyRkJDN0VD

Uber - Building the Flagship Rider App | The Road to intelligent Data Apps

4.1K views

George Gilbert, senior analyst at theCUBE Research, talks with Param Kahlon, EVP and GM at Salesforce, about the integral components of Salesforce's innovative framework, particularly focusing on the triad of the AI platform, the data Cloud platform and integration automation. Check out the latest from theCUBE, including upcoming tech events https://www.thecube.net/ AI is a necessary component in today’s applications, Kahlon says, as he highlights Salesforce's long-standing expertise in predictive and generative AI. The data Cloud platform is pivotal in grounding AI predictions with relevant contextual data, addressing the challenge of disparate data across enterprises. Integration automation emerges as the solution to seamlessly consolidate data and enable AI-driven insights and real-time actions. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ These components work together to drive digital and AI-led transformations, according to Kahlon. He illustrates this synergy by giving examples of businesses streamlining processes and enhancing customer experiences. The conversation also touches on the future potential of autonomous agents and advanced automation, suggesting a promising trajectory for Salesforce's evolution. Keep up to date on the latest from “The Road to Intelligent Data Apps” series https://www.youtube.com/playlist?list=PLenh213llmcZqC497QEtozx0BUldKQpbd #TheRoadtoIntelligentDataApps #theCUBE #Salesforce #theCUBEResearch #GenerativeAI #DigitalTransformation #automation
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC5DQUNERDQ2NkIzRUQxNTY1

Salesforce - From Data Cloud to Agents | The Road to Intelligent Data Apps

3.7K views

In the latest episode of The Road to Intelligent Data Apps series, theCUBE Research analyst George Gilbert is joined by Dain Sundstrom, CTO of Starburst Data, and Ryan Blue, CEO of Tabular and creator of Iceberg. They explore the evolution and significance of separating storage from compute in modern data stacks. Check out the latest from theCUBE, including upcoming tech events https://www.thecube.net/ This separation has allowed for scalable, cost-effective computing and improved interaction with various systems. The recent trend of enabling any compute engine to interact with common data foundations has transformed the data platform landscape and highlights the quick adoption by cloud providers, according to Blue. Follow theCUBE's wall-to-wall coverage as the roving news desk for SiliconANGLE reports live from tech's top events https://siliconangle.com/category/cube-event-coverage/ There are ongoing challenges, such as achieving full compatibility across different data formats and ensuring consistent access controls and governance. Projects such as Iceberg are helping to create a universal data layer that supports broad industry collaboration and innovation, according to Blue. Visit theCUBE Research for the latest in tech news https://thecuberesearch.com/ Catch up on all episode of The Road to Intelligent Data Apps series https://www.youtube.com/playlist?list=PLenh213llmcZqC497QEtozx0BUldKQpbd #theCUBE #TheRoadToIntelligentDataApps #theCUBEResearch #DataStorage #Iceberg #scalability
YouTube Video UExlbmgyMTNsbG1jWnFDNDk3UUV0b3p4MEJVbGRLUXBiZC45NDk1REZENzhEMzU5MDQz

The Path to the Multi-Vendor Data Platform | The Road To Intelligent Data Apps

2.4K views

Load More... Subscribe

Cutting Edge Research, Analysis, Insights + Media

Studio Locations

Silicon Valley
989 Commercial St.
Palo Alto, CA 94303

Boston Metro
5 Mount Royal Ave.
Marlborough, MA 01752

Research Areas

Podcasts

Solutions

Engage

Stay Connected

Linkedin Youtube Spotify

theCUBE Research weekly

Stay ahead of the curve with the exclusive insights by our team straight to your inbox each week.

By submitting this form, you are consenting to receive marketing emails from: theCUBEResearch, info@siliconangle.com. You can revoke your consent to receive emails at any time by using the SafeUnsubscribe® link, found at the bottom of every email. Emails are serviced by Constant Contact

© 2024 SiliconANGLE Media, Inc. All rights reserved. theCUBE Research is a division of SiliconANGLE Media, Inc.

Book A Briefing

Fill out the form , and our team will be in touch shortly.
Skip to content