Events

 

 

Webinar: Prepare your organization to take the first steps into the digital transformation within financehttps://www.nnit.com/Pages/Webinar-NNIT-Blackline.aspxWebinar: Prepare your organization to take the first steps into the digital transformation within financeFebruary 27 | Webinar Explore the financial close process and the potential for automation enabling organizations to release key stakeholders from simple and manual tasks. Prepare your organization to simplify finance structures and streamline reporting processes. In this webinar NNIT and BlackLine will highlight best practices and introduce the SAP Account Substantiation & Automation by BlackLine that enables closing excellence, including High-Volume Transaction Matching Journal Entry Processing REGISTER HERE Key takeaways from webinar Why the financial close should be a focus in transformation efforts Examples of quick wins through best in breed technology in your transformation roadmap How SAP Account Substantiation & Automation by BlackLine extends core SAP functionality to reduce risk and manual effort for Finance Speaker Hans Mathiesen, Line Manager, SAP Solutions, NNIT Samuel Rouayrenc, Strategic Account Director, BlackLinehttps://www.nnit.com/Pages/Webinar-NNIT-Blackline.aspx
Conference: DIA Europe 2020https://www.nnit.com/Pages/Meet-NNIT-at-DIA-Europe-2020.aspxConference: DIA Europe 2020March 17-19 | Brussels, BelgiumMeet NNIT at DIA Europe 2020 DIA Europe is this year being held in Brussels, Belgium and NNIT is once again exhibiting at the conference. DIA Europe is the largest Life Sciences conference in Europe. The annual event spans DIA’s strategic initiatives across a range of Thought Leadership streams including - Clinical Development & Operations - Regulatory Science & Operations - Value and Access - Medical Affairs and many more. This year, NNIT will be focusing on three main topics Veeva Powerhouse – Accelerating the transformation to a unified platform Laboratory Transformation – Bringing the lab into the future Intelligent Data Quality – Transforming documents to structured data We have exciting stuff to show you at our booth! Stop by our booth to learn more about the above topics and how we in other ways support Life Sciences companies with their Digital Transformation. At our booth you will be able to try out our Augmented Reality solutions, making cumbersome work processes in laboratories and productions more efficient with HoloLenses. You can also experience a demo of how we transform documents into structured data with Intelligent Data Quality.Join our presentations We are happy to announce that Niels Buch Leander, Global Head of Regulatory Affairs in NNIT, will be giving 2 presentations at the conference. The impact from EMA’s telematics strategy and SPOR program Content Hub Stream Findings in Benefit-Risk Wednesday, March 18, 1355-1415 The Digital Future of Regulatory Affairs – Data, Robotics and Artificial intelligence Track 06 - Regulatory Operations Session #S0611 - Digital Transformation Thursday, March 19, 0845-0945 We look forward to seeing you soon! Read more about the conference here https://www.nnit.com/Pages/Meet-NNIT-at-DIA-Europe-2020.aspx
How does Industry 4.0 change pharmaceutical manufacturing?https://www.nnit.com/Pages/How-does-Industry-4-0-change-pharmaceutical-manufacturing.aspxHow does Industry 4.0 change pharmaceutical manufacturing?March 19-20 | Berlin, Germany ​Transitioning to Pharma 4.0 offers new opportunities and challenges at the same time. This event provides the appropriate platform to discuss the best practices and experience of introducing, implementing and managing emerging technology capabilities. Main focus will be on analytics and data integrity, automation, the workforce of the future, technical and operational transformation, and end-to-end integration. Thomas Halfmann, Global Head Production IT Life Sciences, will chair the first conference day and deliver the following presentation The Future of MES and IoT and Pharma 4.0The concept of MES as a system to execute, monitor, track and re­port manufacturing operations in real time has been established in the pharmaceutical industry for more than 20 years. Today MES is a very critical component for most companies to embark onto the journey to­wards digitalization and Pharma 4.0. Although "MES for Pharma" was designed pre-IoT, it will remain as the core system to manage data and information for manufacturing of medicinal products and there­fore is the key fundament for data integrity on the journey towards digitalization and Pharma 4.0. Key topics that will be discussed are MES as being fundamental for safely releasing products to the market (and the patients) MES in cell & gene therapy manufacturing (needle-to-needle) Integrated information architecture of manufacturing and supply chain to ensure the safe release and supply of medicine to the market and patient Read more about the Pharma 4.0 Smart Manufacturing Summit. https://www.nnit.com/Pages/How-does-Industry-4-0-change-pharmaceutical-manufacturing.aspx
Webinar: Using Standardization and AI to Improve Data Quality in Life Scienceshttps://www.nnit.com/Pages/Webinar-Using-Standardization-and-AI-to-Improve-Data-Quality-in-Life-Sciences.aspxWebinar: Using Standardization and AI to Improve Data Quality in Life SciencesMarch 25 | Webinar ​Data quality is a key word in Life Sciences, especially due to the numerous regulatory requirements and business integrations in the industry.Many companies are finding themselves dealing with reporting where poor data quality causes misinformation and countless hours spent on investigating data issues. When migrating from legacy systems to new solutions issues and concerns regarding data quality and data readiness often occur. On top of that, it is not uncommon to experience data issues when bridging the gap from documents to structured data.In this webinar we will go through our standardization method when working on improving data quality and increasing information correctness and availability. The three phases that we will go through are; data profiling, data enhancement and data migration & interfacing. In NNIT we call this Intelligent Data Quality.In our solution we leverage a standardized transformation engine and AI Document Mining that makes it possible to extract structured data from documents. The latter part will be presented through a case from the large Danish pharmaceutical company, LEO Pharma. Agenda The importance of Data Quality The three phases of Intelligent Data Quality Data profiling Data enhancement Data migration & interfacing Case example AI Document Mining at LEO Pharma Speakers Peter Smedegaard Andersen, Advanced Advisory Consultant, Life Sciences, NNIT Sille Lie Barrett, Consultant, Life Sciences, NNIT Sign up here https://www.nnit.com/Pages/Webinar-Using-Standardization-and-AI-to-Improve-Data-Quality-in-Life-Sciences.aspx
Infosecurity 2020https://www.nnit.com/Pages/Infosecurity-2020.aspxInfosecurity 2020April 29 & 30| Copenhagen ​About the conferenceInfosecurity Denmark 2020 will entail more than 100 seminars and cases, 20 selected keynotes and 80 exhibitors. Two days full of knowledge and networking. The program covers compliance, cybercrime, IoT, enterprise mobility as well as cloud security and will give a unique look into the newest IT security challenges on a high professional level. As a participant you will be updated on both the newest technical progess from top researchers, get insight into the current threats from some of the best advisors in the world and finally, you can discuss your user experiences with some of the best known danish security brands. Presentation Data is the new gold - but how do you protect it? April 29, 1030 AMThe amount of data is increasing, which means that companies generate, handle and store much more data than previously. With the growing amounts of data, the need for data protection increases as well. Esben Kaufmann, Head of Cybersecurity Consulting in NNIT will in this presentation present his take on how you can ensure that cybersecurity is a natural part of your data journey. https://www.nnit.com/Pages/Infosecurity-2020.aspx