Data Transforming Business

Spatial data, also known as geospatial data, affects our everyday lives.A term used to describe data related to locations on Earth’s surface, spatial data can be used in everything from heat maps and political maps to smaller-scale indoor representations like in hospitals and offices.  In this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3644 (John Santaferraro) speaks to https://www.linkedin.com/in/spatialdna/ (Todd Lewis), Founder and CEO of Spatial DNA, to discuss: Digital revolution and the challenges it’s produced Helping customers overcome complexity  The future of spatial data Spatial DNA is a partner of https://em360tech.com/solution-providers/safe-software (Safe Software).

Data quality monitoring is a process that manages and ensures high-standard data within an organisation.  Performed through strategies like automation and full-stack monitoring, companies set their own data quality metrics and KPIs to measure and evaluate it.   In this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3633 (Christina Stathopoulos) speaks to https://www.linkedin.com/in/jeremystanley/ (Jeremy Stanley), Co-founder and CTO of https://em360tech.com/solution-providers/anomalo (Anomalo), to discuss: Data quality monitoring in a data reliant market Using unsupervised ML Changes in the last 5 years

Data governance in the modern world is the managing, utilising and securing of data in enterprise systems, and it’s becoming increasingly more important as organisations face new data privacy regulations as well as the need to make data-driven decisions. Well-designed data governance programs often include governance teams, steering committees and data stewards. But behind these lie data standards, policies and philosophies that can help businesses handle astounding amounts of data in the right way. In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Ramesh Shurma, Founder and CEO at Orion Governance, to discuss: Current data governance space Bottom-up vs top-down approaches Lowering TCO and increasing ROI

Cloud modernization transforms organizations and enables continuous innovation. A cloud modernization program accelerates your analytics initiatives to gain the agility, speed, and scale needed to drive business value and deliver a competitive advantage. Informatica has enabled many leading customers to move their on-premises workloads to the cloud seamlessly and to innovate at scale. Learn how Informatica’s Cloud Modernization Program has allowed customers to streamline processes, improve data delivery, and accelerate time to insights while reducing migration costs and mitigating risk with minimum disruption to ongoing business operations. On this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3644 (John Santaferraro) speaks to https://www.linkedin.com/in/pratikp-cloud-modernization-data-is-your-platform/ (Pratik Parekh), Group Vice President and General Manager of Cloud Modernization at https://em360tech.com/solution-providers/informatica (Informatica), to exp

Raw data is data that has not yet been processed for practical use. It, of course, has the potential to become real and actionable information - but the transformation requires selective extraction, organisation and formatting. Businesses today are really beginning to recognise the value of raw data. With consumer data being one of the hottest commodities of the 21st century, the ability to make more informed decisions is driving the enterprise to make this unprocessed data work for them. In this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3644 (John Santaferraro) speaks to https://www.linkedin.com/in/nickjewell/ (Nick Jewell), Senior Director of Product Marketing at https://em360tech.com/solution-providers/incorta (Incorta), about: Hidden gem of modern analytics Acting with intelligence to improve outcomes The world of raw data

Data discovery is a subset of business intelligence (BI), referring to the collecting and consolidating of data from multiple databases into a single source. This makes it much easier to investigate and detect patterns, as well as apply real-time data controls to ensure safe storage and analysis. In this third episode of the three-part EM360 Podcast, Analyst Christina Stathopoulos is joined by Richard Heyns, Founder and CEO of Brytlyt, to discuss: Scaling analytics speed How to optimise the processing of geospatial data The next generation of BI

Location Intelligence (LI) is how we use data to answer spacial questions. It goes beyond visualising data on a map - in fact, the analysis of location data has become integral to our daily lives. From 5G network deployments and geomarketing to Dominos Pizza understanding where you are and what you’re likely to order as soon as they pick up the phone, it’s clear that every sector is adopting LI to strengthen their processes. In this episode of the EM360 Podcast, Ciaran Kirk, Operations Director at IMGS joins Analyst John Santaferraro to discuss Location Intelligence aspects such as: Newest trends in data integration Streaming data challenges Modern data pipelines and what they give enterprises

The trend of data at our fingertips is continuing. Virtually, everything we do is impacted by data.  From driving your car to shopping to fighting pandemics such as Covid-19. Everything is impacted by data and understanding is improved by embracing and using it  Data powers many technologies and itself is neither good nor bad. As data influences more of our life, we have to ensure that we use it responsibly so as to improve the lives of everyone from customers, employees, citizens, and the planet we all live on. We face many challenges and data plays a critical role in helping us make the best decisions. In the last episode of a three-part podcast series with Safe Software, Analyst Susan Walsh speaks to Don Murray, President and co-founder of Safe Software, to explore: How data was critical in the fight and management of Covid 19 around the world.  The importance of using data responsibly so that people and organizations understand the often unintended consequences of their

The trend of data at our fingertips is continuing. Virtually, everything we do is impacted by data.  From driving your car to shopping to fighting pandemics such as Covid-19. Everything is impacted by data and understanding is improved by embracing and using it  Data powers many technologies and itself is neither good nor bad. As data influences more of our life, we have to ensure that we use it responsibly so as to improve the lives of everyone from customers, employees, citizens, and the planet we all live on. We face many challenges and data plays a critical role in helping us make the best decisions. In the last episode of a three-part podcast series with Safe Software, Analyst Susan Walsh speaks to Don Murray, President and co-founder of Safe Software, to explore: How data was critical in the fight and management of Covid 19 around the world.  The importance of using data responsibly so that people and organizations understand the often unintended consequences of their

Deep learning is a subgenre of machine learning and AI that mimics human behaviour - lending itself to predictive modelling and statistics.  But how can we take the power of deep learning and make it more accessible to the citizen data scientist? In this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3633 (Christina Stathopoulos) speaks to https://www.linkedin.com/in/richardheyns/ (Richard Heyns), Founder and CEO of https://em360tech.com/solution-providers/brytlyt (Brytlyt), about: Deep learning and artificial neural network systems DL vs ML Embedding AI into the database

Machine Learning Operations, or MLOps, is a set of practices that aims to deploy and maintain machine learning models reliably and efficiently. Similar to the DevOps approach, MLOps seeks to increase automation and improve the quality of production models while focusing on business requirements. In the first part of this three-episode series on the ‘Transformational Serverless Acceleration for Analytics’, Analyst Christina Stathopoulos speaks to Richard Heyns, Founder and CEO of Brytlyt to cover: Why do two-thirds of models built with the intention to deploy never make it to deployment Databases and the critical role they play Scaling up analytics and ML

Artificial intelligence. The catch-all term defines the machines that can mimic and display sentient cognitive skills such as learning and problem-solving. A key part of modern technology, the advancements of AI indicate just how far the human race has come. AI can be used by businesses to interpret and use massive volumes of data. In this third episode of a three-part EM360 podcast series with Findability Sciences, Data Whisperer and Analytics Expert, Christina Stathopoulos speaks to the company’s Founder and CEO Anand Mahurkar, as the pair explore: Getting the most out of wide data Bringing the power of AI to traditional automation solutions Calculating ROI for AI projects

Digital twins are virtual models designed to accurately reflect a physical object or process. The real-world applications of this are endless - from city planning to construction and decoration, digital twins can help you visualise concepts within spaces with ease. When it comes to processes a digital twin can represent measurements of flows that are difficult to show such as wind direction, or temperature of flows within pipes. What’s more, the twinned object can be outfitted with sensors and produce performance data that can be applied to the digital copy. This offers a valuable insight into how the physical object will perform in real life. How do digital twins relate to spatial data? In the second episode of a three-part EM360 Podcast with Safe Software, President Don Murray speaks to Susan Walsh, Founder and MD of The Classification Guru, about: Digital twins and the evolution of spatial data What expertise and requirements are needed to create a digital twin The potential that lies in digital twins

Data democratisation is the continuous process of enabling company-wide access to data, regardless of technical know-how, in a bid to spread a data-led decision-making mindset across all departments of an organisation. It can be a big challenge - and serious investment - for companies as employee education and tool implementation is not trivial undertakings. How can companies set up their data democratisation strategy? In this episode of the EM360 podcast, Content Producer Matt Harris talks to Giuseppe Mura, Director of Solution Engineering at StreamSets, as they tackle: The steps companies should utilise to set up their data democratisation strategy How the demand for DataOps will be affected as businesses adapt their data integration processes Bringing in non-IT-native and non-DevOps experts and providing them with everything they need

While we have made huge steps in transferring information into processes of data analysis, there is still a huge reliance upon hard-to-process document-based information. One of the biggest culprits of this is the healthcare industry. For decades, they have been using this outdated, insecure method of managing patients' private information, which has led to multiple issues, such as data breaches. The restraints of paper-based forms and documents are further highlighted by the problems that arise throughout workflows: misplaced document-based information; slow delivery times as information has to be passed through multiple different parties. Simplifying Processes of Data Analysis On this podcast, Greg Council, VP Marketing and Product Management at Parascript, joins us to discuss the processes of document-based information and why current systems are so outdated. He also outlines how we can best move to a more automated form of operating and what it means to view document processing from an insurance perspect

The data-driven revolution has enabled brands to achieve true customer centricity — but only if they have the right data analysis and experience orchestration capabilities. Whether creating a single customer view, generating predictive insights, or orchestrating seamless omnichannel experiences, organisations must work to make sure their customer data is accurate, accessible, and actionable. The data-driven revolution is transforming the customer experience Hosting this episode of the EM360 Podcast is Susan Walsh, Founder, and MD of The Classification Guru. Joining her is the Head of Martech Strategy at ActionIQ, James Meyers, who will be sharing his insight on the data-driven revolution and its growing impact on the customer journey and customer experience (CX) as a whole. With an ever-growing number of competitors entering the market, it's vital for businesses to grow and retain their customer relationships by ensuring they have a polished, data-driven CX strategy. Tune in to learn about: Why siloed data c

Advanced analytics is the next step for organisations that want to be at the cutting edge of data analysis. For decades, organisations have been generating reports, primarily documenting 'What happened?' or 'What is happening?'. Essentially, it was once solely about descriptive analytics reporting, until some decided to take it to the next level with diagnostic analytics - i.e. looking at why things happen. Fast forward to more recent years and the evolution of technologies like data lake and warehouse have led to explosive growth in data volume, velocity, and variety and increased the demand for organisations to garner greater insights from data. This is how advanced analytics was born. Advanced analytics: the next stage in data evolution On this podcast, Susan Walsh, Founder and MD of The Classification Guru, joins Jack Lambert, Technical Partnerships Manager at Jaguar TCS Racing. and Mark Whalley, Manager at Vertica. The trio of data experts shed light on the use cases of advanced analytics through the le

Digital disruption and transformation are unavoidable in today's digital world. Fueled by the ever-growing and emerging list of next-generation digital technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and data analytics, organisations have no choice but to accept these innovations and utilise them within their operations and ecosystems if they want to remain competitive and succeed. However, as is commonly spoken about in the IT sector, adopting and implementing new technologies is not an 'easy as pie' or smooth sailing process. The Benefits of Time-Series Databases and Opening Up Businesses Digitally The challenges of digital disruption and transformation form the basis of this podcast. Scott Taylor, Principal Consultant at MetaMeta Consulting, speaks with Christian Lutz, Founder, President at Crate.io, and Bernhard Zimmermann, Director Business Development and Partner at Zühlke, to explore the solution: time-series databases. Christian and Bernhard begin by drawing on Crate.

Business leaders are in the midst of the biggest digital transformation revolution that the enterprise has ever seen. As the pandemic continues to accelerate the adoption of digital products and services, corporate culture, operations, technologies, stakeholder relationships/partnerships, and customer management/experience continues to evolve. Data transformation has made the most significant impact. No longer just an add-on, data and analytics are driving organisations on a daily basis, informing key decisions in real-time. In this podcast, Scott Taylor, Principal Consultant at MetaMeta Consulting, sits down with Andy Isenman, Head of Technology: Cloud and Data at Heathrow, Mark Smith, General Manager of Microsoft Solutions, and Nick Baladi, Account Director at Adatis, to talk about utilising the analytics of big data to transform your business. The conversation specifically focuses on the optimisation of data to aid businesses in a post-pandemic economy, in which parallels are drawn to how Adatis assisted

Cloud storage and data democratization are two strategic technology trends that have revolutionised the enterprise. Whilst the first enables organisations to store data and run workloads off-site, the latter expedites decision making by making data accessible to an entire team. However, in line with the ever-evolving tech landscape, both cloud storage and data democratization must move and evolve with technological changes, updates, and transformations. What are data lakes doing to improve data quality? Joining us to discuss unlocking the future of cloud storage and data democratization and answer 'What are data lakes doing to improve data quality?' is Thomas Hazel, Founder, CTO and Chief Scientist at ChaosSearch. Thomas begins by outlining the evolution and current state of cloud storage and data lakes, before looking at the challenges and opportunities each one benefits businesses. He also explores the philosophy that organisations must put up complicated gates to scale and access data, including top tips