Data holds so many answers, we just need to find them. A podcast series which explores the world of data and how we can decode it to discover insight. For more information, visit intersystems.com/uk/
Moving Towards the Intelligent Supply Chain with Real-Time Data
The supply chain continues to be a hot topic, brought to the fore following the pandemic, chip and labour shortages and even the blockage of the Suez Canal made headlines worldwide. This Data Dialogue podcast will explore how supply chains are coping now and how they can transform utilising technology such as AI and analytics to become more resilient in the future. This journey means moving away from a traditional linear supply chain to a more digital ‘networked’ supply chain, with a digital core, supported by the smart factory, intelligent supply, dynamic fulfilment, and synchronised planning in order to gain complete end-to-end visibility.
For more information visit: www.intersystems.com/uk/industries/supply-chain-software
Outsmart Disruption – How Higher Education Institutions are Overcoming Data Challenges
The covid-19 pandemic caused serious disruption for the entire education sector.
Research from InterSystems found that sharing data was the biggest challenge for 59% of institutions. But their data issues don’t stop there. Many higher education institutions also face delays in accessing their data and are not using data to drive decision making as effectively as they could be. The knock-on effect of this for staff and students can be significant.
This podcast, featuring special guest Deborah Green, CEO of UCISA, the association which represents the whole of higher education, discusses the solutions some institutions are looking to adopt to solve these issues which will help them to enhance the student experience and make them a more attractive proposition. For more information on the research conducted, visit: https://bit.ly/3uOuURX
The Global Fintech Landscape: Challenges, Collaboration, and Cloud
In recent years, fintechs have begun to deliver significant value to both consumers and businesses and have reshaped how some interact with financial services. Yet, while the fintech sector is going from strength to strength, these organisations still tend to face challenges.
This podcast explores the findings from InterSystems research that found an overwhelming 81% of fintechs identify data issues as their biggest technical challenge. And of this figure, 41% struggle to leverage data for analytics, machine learning, and artificial intelligence, while 40% are unable to connect to customers’ applications and data or legacy systems.
Encouragingly, most fintechs appear to be ready to take steps to overcome these challenges. Almost half (48%) plan to invest in data management technologies over the next 12 months, while 45% expect to implement AI and ML. Find out more from the research and how to overcome data barriers in this latest episode of the Data Dialogue, or for more information, visit: https://bit.ly/3HjUXnI
Transforming healthcare reporting with InterSystems IRIS for Health
Within healthcare there are a multitude of reports available for organisations, providing information ranging from market-specific insights to supply chain reports, which can all be viewed through different means from dashboards to analytics. However, historically many of these reports supported break-fix models where they provided insight when problems occurred. Yet with the amount of data available, health and social care organisations need to align, capitalise and exploit the data they hold to become more preventative in the insights they produce, rather than reactive. Interoperability will be key to achieving this shift in data usage to combine data sets into one platform, in real-time.
In this episode, we discuss how better reporting of data can offer an overwhelming amount of transformation capabilities within the healthcare sector and how InterSystems IRIS for Health can support this change.
Integrating Support for Machine Learning with InterSystems IRIS
While data wrangling is an important step for getting data into a usable state, data scientists need to have tools like machine learning (ML) available to them to make it easier to take the data once clean.
IntegratedML® is a new capability within InterSystems IRIS that enables your SQL developers to easily develop ML models with just a few SQL-like commands. ML models can be seamlessly embedded into applications and productions to execute in real time in response to events and transactions, allowing you to transform your applications into ML enabled intelligent applications.
This episode will explore how all of this functionality in InterSystems IRIS can now also be invoked via Python, as well as via ObjectScript, enabling your existing Python developers to develop and maintain sophisticated InterSystems IRIS applications with their current skills. For more information, visit https://www.intersystems.com/migrate-to-intersystems-iris/
Achieving Higher Performance, Scalability and Resource Efficiency with InterSystems IRIS
InterSystems IRIS Data Platform® provides even greater performance, scalability, and resource efficiency than previous platforms Caché and Ensemble on the same hardware without having to build out architecture and complexity. Application developers can be even more productive with built-in support for the VS Code IDE, and support for a range of development languages. Confident in its abilities, InterSystems designed a performance test to measure InterSystems IRIS against competitive products – find out how it faired in this latest episode of The Data Dialogue. For more information, visit https://www.intersystems.com/migrate-to-intersystems-iris/