Intensive D365 training in Poland (Oct. 2018)Continue reading
Microsoft Dynamics developers will have the opportunity to take part in an intensive five-day training course – Programming in Microsoft Dynamics 365 for Operations – in Wroclaw, Poland.
Stay on top of the latest programming developments, deepen your knowledge of the system architecture, and gain valuable insights from trainers recognised as the best in the industry. You will also learn about build and environment management in Team Foundation Server (TFS), analytics, integrations, business intelligence scenarios and much more.
See the full agenda here.
The course is run by ANEGIS Consulting, specialists in developing and deploying Dynamics 365 solutions. The trainers have been Microsoft Certified Trainers for a decade, leading courses internationally, including for Firebrand and AXUG.
Course attendees will benefit from well-equipped training rooms and full catering.
Date: 9-13 October 2017
Duration: 5 days x 8 hours
Price: 5000 PLN per person
The retail industry is still dealing with the effects of the pandemic that lasted almost three years. In addition to this, further global events are causing disruption to the supply chain or financial stability of many retailers globally. As the industry confronts new challenges shaped by economic and geopolitical factors, it also faces trends influenced by changing customer expectations and needs. Here are 5 developments and trends to watch.
An interactive, AI-powered support for sales, customer service, marketing, and supply chain - Microsoft Dynamics 365 Copilot leverages generative AI and natural language processing technology to perform simple, yet time-consuming daily tasks that workload employees but can be automated.
Every company management facing a system change wonders what steps should be taken to ensure that this change does not cause turbulence to its business. Identical dilemmas are faced by any IT company that provides services to implement a new system. I will focus on these dilemmas today.
Artificial intelligence (AI) and machine learning (ML) technologies are changing business every day - just as new tools and services are frequently emerging to expand their use cases. PwC estimates that the impact of these technologies on the global economy will add approximately $15.7 trillion to its value by 2030 (1).