The vision of many executives is to make use of business intelligence (BI), machine learning (ML), and artificial intelligence (AI) to increase the level of automation and to enable everyone in the company to contribute towards improving business performance. They want to create an ‘always on’ data and AI-driven intelligent business where BI and ML models are deployed effectively across the business so that every person (and every application) in the enterprise is able to leverage the right insights at the right-time to help them contribute to the success of the business. Therefore, it should be possible to embed BI and ML models into operational business processes to guide, drive decisions, and actions in everyday business operations.

In this live, two-day seminar instructor Mike Ferguson shows how organizations can embed BI, ML, and AI-automation into applications and processes to make your business data and AI- driven. The purpose is to achieve ‘always on’ business optimization, dynamic planning by automating, guiding, and empowering employees, business partners, suppliers, and customers to make better decisions to improve business performance. It provides a roadmap and methodology for creating the right-time intelligent enterprise by taking an in-depth look at the technologies and methodologies needed to make it happen.

Although analytics in many organizations is well established, it is still the case that perhaps no more than 25% of employees make use of reports and dashboards from BI tools with even fewer using machine learning models or AI. There is still a long way to go if companies are to realize the promise of using ML and AI to automatically prevent problems, seize opportunities and continually optimize business processes in everyday business operations.

It should also be possible to automate more using self-learning AI. This would move organizations towards creating intelligent applications and utilizing AI driven automation for business process optimization and decision management. This includes embedding analytics into all customer facing applications and websites to enable a personalized customer experience as well as partners and suppliers being guided by BI, alerts, and recommendations. The objective is to move towards automated, self-learning, AI-driven business operations.

Two-Day Seminar Price:

• $1,000 Early Bird Price through October 20, 2023
• $1,200 after October 20, 2023

Last day to register: Tuesday November 6, 2023

Seminar CEUs: 10
Seminar Date: November 8-9, 2023
Seminar Time:  8 AM – 1 PM Pacific Time / 11 AM – 4 PM Eastern Time

LEARNING OBJECTIVES

Attendees will learn how to justify, architect, and integrate AI, machine learning models and business intelligence into operational business processes and applications as part of a coordinated program to improve business performance. They will learn how to use automatic real-time event processing to monitor operational events as they happen to detect problems, identify opportunities, and drive and guide business operations. They will learn how to create intelligent apps and how to use AI to automate tasks. Attendees will also understand how to use real-time data integration, on-demand decision services, prescriptive machine learning models as a service, BI web services, queries, real-time decision engines, enterprise alerting and business process automation to put analytics to work in driving every- day business operations.

Who Should Attend?

This two-day live online seminar is intended for business and IT professionals responsible for information delivery, business integration, and leveraging BI, ML and AI in operational environments. It does assume general business knowledge, but not specific technical knowledge or experience. The course is not designed for any specific business domain, and as such is applicable to any business function that is in need of more reliable information, such as finance, manufacturing, human resources, analytics, operations, and more.

Seminar Format

• A two-day seminar workshop that includes lecture format over slides with questions either throughout or at the conclusion of each section, breakout sessions, and exercises.
• The seminar date is: Wednesday - Thursday, November 8-9, 2023
• Seminar time is: 11 AM – 4 PM Eastern / 8 AM – 1 PM Pacific
• All seminar material will be made available for students to download.
• DATAVERSITY will be integrating two platforms to run the training: The DATAVERSITY Training Center (DVTC) platform and Zoom.
• The DVTC Platform is where you will start your training: https://training.dataversity.net
• This will be where you will log in, and then click a “Join Now” button on the day of the live training in your course dashboard.
• This platform will contain the syllabus for the day, information on navigating through both platforms, enable you to take notes throughout the training, join a forum with your classroom peers to network with each other even after the live online training is over, download materials, and access the recording of the training when it is complete.
• When you click the “Join Now” button in the DVTC Platform, a Zoom window will open.
• This platform is where you will take the training, view the presentation, and engage in breakout sessions.