Search Results: ai data (4886)

In part 1 of this series, I share my thoughts on the growth and proliferation of Artificial Intelligence (AI). AI is being used in many industries, such as marketing to service, and is being used to learn about things and learn about us humans, even learn failure. What does the future hold for AI?Additional sources:Wired source: https://www.wired.com/story/new-artificial-intelligence-mistakes-purpose-chess/  Fortune Business Insights source: https://www.fortunebusinessinsights.com/industry-reports/artificial-intelligence-market-100114 Towards Data Science source: https://towardsdatascience.com/democratization-of-ai-de155f0616b5 

The expanded Amazon deal with TCS gives AWS more of a presence in the mainframe world it has sought for 15 years to replace.

Data is growing exponentially! To handle, analyze and interpret such a large amount of data we need data scientists.Having interviewed many aspiring data scientists, as well as having trained over 300 people in data science, I share my experience in the hiring process and some additional considerations.

In this insightful article , Eide Bailly explains how to find value in your data and the importance of bringing meaning through a narrative, context and visualization.

AI doesn’t offer a one-size-fits-all solution for businesses, but it provides an answer for particular scenarios or problems in the workplace. In this article, understand the key factors CIOs need to consider before and during the implementation of AI technology in their business.

Extending its year-long run as the world’s fastest-growing major cloud vendor, Google Cloud Q4 revenue soared to $3.83 billion.

January 2021 saw some major cloud database developments in a fast-moving, fast-growing, customer-demand-driven market.

On the Cloud Wars Live podcast, Bonnie Tinder says that if you know your why, you can achieve biz transformation thru digital transformation.

Most companies are missing out on the advantages of leveraging AI in their CRM systems. Many times AI can surface data or actionable insights that would typically be missed causing downstream impacts on critical business decisions. This article highlights the needs for infusing AI into your CRM systems.

Oracle’s answer to the specialty database trend is Oracle Database 21c, a “converged database” that will take on AWS, Microsoft, Snowflake.

Adobe and Microsoft recently announced the creation of C3 AI CRM software with the help of Microsoft Dynamics 365. This innovative AI-first CRM software is built for all types of industries while making it easy to integrate with Adobe Experience Cloud. All of this improves customer-facing business operations with predictive insights.

This Video Tutorial Explains steps to Export Data from Business Central in Json Format.

These organizations need talented data scientists, data engineers, and machine learning/AI engineers to turn that potential into real opportunities. Data scientists, on the other hand, can learn a lot and hone their skills by working at big companies that have the infrastructure to build AI factories that turn data into real-world success.

AI is everywhere – and now even included in Power BI. Sometimes AI might be very apparent when you enrich your data with predictions by explicitly calling an Azure Machine Learning webservice in Power Query. Sometimes it might by hidden in a nice little context menu when Power BI is automagically explaining the reason of a difference or a change over time in your data to you. No matter if you are a business user, analyst or data scientist – Power BI has AI capabilities tailored to you. In this session we will cover how you can integrate and leverage the use of language R, how to integrate an Azure Machine Learning Service when loading data, what kind of insights Power BI is capable of delivering automatically, how you can create a complex new column without typing a single formula/function, how you can explore your data by asking questions in plain English, … and more! Sounds like a lot of content? I omitted most of the slides in favour to spend the time in live demos instead. Come in this session to learn how you can enrich you very own Business Intelligence with Artificial Intelligence and make the step up from Power BI to Power AI.

Good insights start with good data, and knowing what data to pull from your BC / NAV system, and how, makes all the difference. There are a lot of options available – XMLports, RapidStart Services, OData feeds, Excel – but what should you and your users employ for which purposes? We’ll start with real examples of each, then drill down into RapidStart to ensure you have a thorough understanding of this invaluable tool. We’ll address when and when not to use Configuration Packages, a step-by-step guide of how to create and modify Configuration Packages, and how to use the Configuration Worksheet.

In this session, we will discuss various options available to implement data integration solutions for Microsoft Dynamics 365 platform, including Azure Service Bus, Logic Apps, SSIS among some other options. We will also talk about some best practices and design patterns that you can leverage in your Dynamics projects.

The current Family First Coronavirus Response Act legislation (FFCRA) and subsequent guidance issued from the Department of Labor and the IRS can be distilled to a few items that could impact users of Microsoft Dynamics® GP and Comprehensive Leave Manager.

Increased productivity, reduced costs & database space and an outstanding support…
By using Microsoft Dynamics 365 for their daily business, Spigraph came to the conclusion that certain functionalities were missing. A simple demonstration and a good level of support convinced the company to utilize solutions from mscrm-addons.com. Since the installation of our solutions, Spigraph was able to increase productivity and reduce database storage costs significantly.

Get reacquainted with my old friend, the Paid Transaction Removal routine.

Importing Excel files into D365 F&O