Episodios
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Maximising data relationships through text analytics, particularly with tools like LLMS and Knowledge Graphs, offers organisations unprecedented insights and capabilities. By leveraging these advanced technologies, businesses can unlock hidden connections and patterns within their data, leading to more informed decision-making and strategic planning.
Integrating Ontotext's solutions is a game-changer, empowering organisations to extract, organise, and visualise complex information from unstructured data sources. With Ontotext's expertise in semantic technology, businesses can construct robust knowledge graphs that offer a comprehensive understanding of their data landscape. This comprehensive approach not only facilitates better analysis and interpretation of data but also ignites innovation and propels business growth in today's increasingly data-driven world.
In this episode of the EM360 Podcast, Paulina Rios Maya, Head of Industry Relations, speaks to Doug Kimball, Chief Marketing Officer at Ontotext, to discuss:
AI in Enterprise Knowledge LLMs Knowledge GraphsChapters
00:00 - Challenges of Integrating LLMs into Enterprise Knowledge Management Systems
04:35 - Enhancing Compatibility and Efficacy with Knowledge Graphs
07:21 - Innovative Strategies for Integrating LLMs into Knowledge Management Frameworks
11:07 - The Future of LLM-Driven Knowledge Management Systems: Intelligent Question Answering and Insight Enablement
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Managing cloud computing costs is a pressing challenge faced by organisations of all sizes across industries. As businesses increasingly migrate their operations to the cloud, the complexity of managing and optimizing costs grows exponentially. Without proper oversight and strategy, cloud expenses can quickly spiral out of control, leading to budget overruns and financial inefficiencies.
Vantage addresses this issue head-on by providing organizations with a powerful platform equipped with automated cost recommendations, customizable reports, and real-time monitoring capabilities. By leveraging advanced analytics and machine learning, Vantage empowers teams to gain unparalleled visibility into their cloud spending and make informed decisions to optimize costs.
In this episode of the EM360 Podcast, Dana Gardner, Principal Analyst at Interarbor Solutions speaks to Ben Schaechter, CEO and Co-founder of Vantage, to discuss:
Cloud cost managementFinOpsCost optimizationAutomated cost recommendations
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Ensuring the reliability and effectiveness of AI systems remains a significant challenge. Generative AI must be combined with access to your company data in most use cases, a process called retrieval-augmented generation (RAG). The results from GenerativeAI are vastly improved when the model is enhanced with contextual data from your organization.
Most practitioners rely on vector embeddings to surface content based on semantic similarity. While this can be a great step forward, achieving good quality requires a combination of multiple vectors with text and structured data, using machine learning to make final decisions.
Vespa.ai, a leading player in the field, enables solutions that do this while keeping latencies suitable for end users, at any scale.
In this episode of the EM360 Podcast, Kevin Petrie, VP of research at BARC US speaks to Jon Bratseth, CEO of Vespa.ai, to discuss:
the opportunity for Generative AI in businesswhy you need more than vectors to achieve high quality in real systemshow to create high-quality GenerativeAI solutions at an enterprise scale
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Geographic Information Systems (GIS) have transformed urban landscape analysis and government policy creation, albeit not without challenges. In the past, GIS analysts often visited locations to piece together information physically.
With the help of cutting-edge platforms like Safe Software’s FME, cities like Burnaby, British Columbia, have revolutionised their operations. This has led to a significant enhancement in the quality of life for its residents. From predictive modelling to real-time data analysis, the potential for innovation appears boundless, underscoring the importance of GIS technology in improving urban operations.
In this episode of the EM360 Podcast, Wayne Eckerson speaks to Herman Louie, GIS Analyst at the City of Burnaby, to discuss:
Design and implementation of GIS solutionsSafe Software’s FME platform Transition to NG9-1-1 The future of GIS
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Government organisations face a multitude of challenges when it comes to managing their data effectively. From interoperability issues between systems to the need for seamless collaboration across agencies, the complexity can be overwhelming. Safe Software's FME platform offers a comprehensive solution to these challenges by providing a flexible and intuitive data integration platform tailored to the unique needs of government agencies.
With FME, government organisations can overcome the barriers that hinder efficient data management. FME enables streamlined operations and improved decision-making processes by seamlessly connecting disparate systems and applications. Whether it's digital plan submissions, emergency services coordination, or interagency health data sharing, FME empowers government agencies to achieve their data integration goals with ease.
In this episode of the EM360 Podcast, Doug Laney, Data and Analytics Strategy Innovation Fellow at West Monroe speaks to Tom Seymour, Government Sales Team Lead at Safe Software, to discuss:
Data integration and interoperability Safe Software’s FME platform FME in governments Advantages of FME ROI with FME
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Ever wonder how search engines understand the difference between "apple," the fruit, and the tech company? It's all thanks to knowledge graphs! These robust and scalable databases map real-world entities and link them together based on their relationships.
Imagine a giant web of information where everything is connected and easy to find. Knowledge graphs are revolutionizing how computers understand and process information, making it richer and more relevant to our needs.
Ontotext is a leading provider of knowledge graph technology, offering a powerful platform to build, manage, and utilise knowledge graphs for your specific needs. Whether you're looking to enhance search capabilities, improve data analysis, or unlock new insights, Ontotext can help you leverage the power of connected information.
In this episode of the EM360 Podcast, George Firican, Founder of LightsOnData, speaks to Sumit Pal, Strategic Technology Director at Ontotext, to discuss:
Knowledge Graphs Use Cases Ontotext GraphDBIntegration of AI Industry best practices
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The traditional data warehousing landscape is changing. The concept of private data cloud offers a compelling alternative to both cloud PaaS and traditional data warehousing. Imagine a secure, dedicated environment for your data, existing entirely within your organisation's control.
Yellowbrick, a leader in private data cloud solutions, empowers businesses to leverage their data on their terms. Their Bring Your Own Cloud (BYOC) approach offers unmatched flexibility and control. You can deploy Yellowbrick anywhere your data needs to be—public cloud, private cloud, or even the network edge. This ensures compliance with regulations and keeps your data exactly where you want it and can bring down costs.
In this episode of the EM360 Podcast, Wayne Eckerson, President of Eckerson Group, speaks to Mark Cusack, Chief Technology Officer of Yellowbrick, to discuss:
The need for hybrid multi-cloud data platforms How Yellowbrick differentiatesThe future of private data cloudWhy Yellowbrick?
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The data analysis landscape is on the precipice of a paradigm shift. Generative AI (GenAI) promises revolutionary insights, but traditional systems struggle to feed its insatiable appetite for well-structured data. Imagine GenAI as a high-powered engine – it needs meticulously organised fuel to reach its full potential.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos guides Deborah Leff (CRO at SQream) and Jason Hardy (CTO, AI at Hitachi Vantara) as they dissect:
The Bottlenecks of Traditional SystemsUnlocking GPU PotentialFueling Insights with Structured DataFaster Time to InsightsThis episode goes beyond theory, exploring real-world examples (like a company querying a staggering 64 quadrillion rows) It showcases the potential for SQream and Hitachi Vantara to empower organisations to make data-driven decisions with unprecedented speed and accuracy.
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Cloud-native is the new gold rush for businesses seeking speed, efficiency, and innovation. But are you getting the most out of your investment? Legacy troubleshooting and observability tools can be hidden anchors, dragging down your developers' productivity.
The result? You're not reaping the full benefits of cloud-native, and your competitors are leaving you in the dust.
Chronosphere, a leader in modern observability, can empower your developers and unlock the true potential of cloud-native. Buckle up and get ready to discover how observability can become your secret weapon for unleashing developer agility and innovation.
In this episode of the EM360 Podcast, VP of Research at Eckerson Group, Kevin Petrie speaks to Ian Smith, Field CTO at Chronosphere, to discuss:
Observability Cloud-native software developersDeveloper inefficiencyThe Chronosphere solutionData pipeline best practices
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Intelligent document processing (IDP) is a technology-driven approach that automates document processing and extraction of valuable information.
While handling structured data is considerably straightforward, processing and analyzing unstructured data is laborious. IDP equips users with the ability to process a multitude of document types, including PDFs, spreadsheets, and Word documents, among others.
IDP platforms offer a powerful solution that streamlines data extraction from these documents by eliminating the need for any manual intervention. The extracted data, when integrated, enables you to make reliable decisions and improve business efficiency.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Jay Mishra, COO at Astera, to discuss:
Traditional document processing and the problems it causesAI-powered solutionsThe future of document processing and data extractionFind out more about Astera’s unified, no-code data management platform here.
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Rainfall. Temperature. Humidity. Natural disasters. Human methods of reading and predicting weather can be tracked all the way back to native tribes and ancient civilisations - and it’s still prevalent in the modern world today.
Whether (no pun intended) it’s an agricultural organisation looking to leverage precipitation data for planting schedules, energy companies looking at temperature trends to predict energy consumption patterns or transportation outfits looking to avoid delays, mastering weather data can really help modern companies to protect themselves against the unknown.
In this episode of the EM360 Podcast, Analyst Susan Walsh speaks to Christian Schluchter, CTO at Meteomatics, to discuss:
Key use cases of weather dataMastering data access and predictive analyticsThe importance of being data driven
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Maximize business value with data products — they incorporate essential data and related capabilities to meet key business objectives.
Data products contain datasets, related metadata and a wide range of functionality to understand if data is fit for use. But unlike relying on a raw dataset or data pipeline to generate value, data products deliver a comprehensive, packaged solution that enables data users to achieve their data-driven goals with easier accessibility.
In this EM360 Podcast episode, Head of Content Matt Harris sits down with Nathan Turajski, Senior Director of Product Marketing at Informatica. They explore how to:
Drive better business outcomes with data productsUnderstand the benefits of user-friendly and efficient consumptionImprove AI, analytics and customer experience initiatives
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Data access is a critical aspect of how businesses manage and leverage their data to drive decision-making.
With large volumes of data from various sources, it’s important that enterprises have a strategy in place to make the accessing process faster and more efficient while remaining compliant, secure and accurate.
In this episode of the EM360 Podcast, Christina Stathopoulos, Founder at Dare to Data speaks to Anthony Cosgrove MBE, Co-Founder at Harbr, to discuss:
Data access challenges and pitfallsFacilitating business use cases with improved data accessAdvice for CDOs and data professionals
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The data lakehouse has been quickly gaining popularity within the data management and analytics space.
Combining elements of data lakes and data warehouses, the data lakehouse aims to address the challenges associated with both in a way which helps companies reach their data and business goals.
In this episode of the EM360 Podcast, Christina Stathopoulos speaks to Read Maloney, CMO at Dremio, as they discuss:The state of the data lakehouseHow an effective lakehouse strategy can be the key to digital transformationHow data lakehouses empower business
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Telemetry data pipelines are designed to collect, process and transmit telemetry data from various sources towards a place where businesses can store, analyse and utilise it for better decision-making.
Important for SREs, DevOps, ITOps, SecOps, DataOps and the wider tech professional, taking control of your telemetry data to address data challenges in a compliant and secure way should be a common goal for the modern business.
In this episode of the EM360 Podcast, Analyst Kevin Petrie speaks to Tucker Callaway, CEO at Mezmo, to discuss:
Understanding telemetry data pipelinesAddressing data challenges with telemetry dataOptimising performance and enhancing security with telemetry data
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In an era dominated by the relentless surge of information, data has become the lifeblood of modern businesses and organisations. As the volume, variety, and velocity of data continue to escalate at an unprecedented pace, the role of data leaders has become increasingly pivotal.
These architects of the digital realm are entrusted with the formidable task of not only harnessing the power of data but also steering their organizations through the complex and ever-evolving data landscape.
In this episode of the EM360 Podcast, Head of Content Matt Harris speaks to Niamh O’Brien, Senior Manager of Solution Architecture at Fivetran to discuss:
Challenges faced by data leaders todayBecoming GenAI readyThe big opportunity for CDOs and their teams
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Having a 360-degree view of your business means having a comprehensive and holistic understanding of every aspect of your organisation.
It involves collecting and integrating data from various sources and departments to create a unified, real-time view. This panoramic perspective enables businesses to make informed decisions, identify opportunities, and address challenges across the entire enterprise.
In this episode of the EM360 Podcast, Head of Content Matt Harris speaks to Prash Chandramohan, Senior Director of Product Marketing at Informatica. They discuss:
Having a 360-degree view of your businessDriving great customer experiencesIs your data ready for AI?
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Web data extraction. The ability to transform any website into structured data.
Using a residential proxy network, companies have been able to fine-tune their data collection for a range of use cases - from threat intelligence and email protection to ad verification and market research.
But why do companies need this now? How do the different stacks of data extraction work and how can you make sure which one works best for you? And how is AI being used in this technology to reach industry-leading scalability and reliability?
In today’s episode of the EM360 Podcast, Head of Content Matt Harris speaks to Eitan Bremler, VP of Products at NetNut, to discuss:Data extraction and why its a problem for companiesThe different stacks of data extractionHow AI/ML should fit in to your data strategy
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Product data that is clean, consistent and enriched with accurate information and descriptions gets results.
When your customers can easily find the products they're looking for you can expect sales to increase, product returns to all but disappear, and brand loyalty to continue to grow. The problem is, how do you consistently deliver this level of quality in a world of disparate data sources, data silos, and the burden of existing technical debt?
AI is a powerful tool that can strategically help this industry unlock the true value of their data and meet the increasing demand for better data. By automating data cleaning, enhancing data quality, and generating actionable insights, organizations can deliver more meaningful experiences to their customers while eliminating the clutter of irrelevant data. This technology accelerates the industry's journey towards data-driven innovation and customer-centricity, ultimately giving trust to the end consumer.
In today’s episode of the EM360 Podcast, Analyst Susan Walsh speaks to Sam Russo, Practice Director of Automotive & Heavy Duty at Pivotree as they discuss:Why “perfect” product data is so importantIssues in the automotive industryWhat AI/ML means for those modelling and enriching product data
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In today's data-driven world, where 90% of business decisions rely on data, harnessing the power of enriched data is paramount for organisational growth. This is where data enrichment for analytics comes in.
In this episode of the EM360 Podcast, Head of Content Matt Harris speaks with Andy Bell, VP of Global Data Product Management at Precisely. They discuss and discover how businesses are transforming their strategies by enriching their data with comprehensive demographic, industry, social, and consumer insights, enabling them to make profoundly informed and accurate decisions.
Explore how data enrichment revolutionises various sectors:
Retail: Craft highly targeted marketing messages using precise customer profiling, identify lucrative markets, and pinpoint expansion opportunities.Insurance: Enhance policy pricing decisions with a deep understanding of a property’s proximity to diverse risk factors, ensuring more informed and competitive offerings.Telco: Optimize network planning and infrastructure rollout strategies by leveraging enriched demographics, property data, and detailed building footprints.Government: Pinpoint essential community services such as aged care, child care, education, and medical facilities, ensuring resources are allocated where they are needed most.Tune in to the podcast and unlock the immense value of enriched data. Learn how this rich portfolio of data can fuel your analytics, empowering you to make decisions that drive unparalleled growth and success.
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