We Know Why your AI Projects are Failing: You’re Not Following Best Practices for Data and AI

Far too often, organizations are running data and AI projects without following established best practices and taking the right steps to ensure their success. Decades ago, we learned how to run application development projects using best-practice agile and iterative approaches. However, many organizations are failing to apply similar best practices to their data-centric projects. Without a proper approach that standardizes steps for data preparation, data identification, and data protection, it’s hard to achieve the success you’re expecting.

In this presentation we’ll walk through a data and AI best-practice methodology to provide you with the foundation needed for project success, especially as you incorporate advanced analytics and AI projects. The CPMAI methodology is the industry’s best practice for AI & ML projects.

Want to Be Competitive with AI? Do AI Right or Get Out.

Are you unable to deliver AI and big data projects competitively and successfully? We know why.

Far too often, agencies, organizations, and consulting firms are running data and AI projects without taking the right steps to ensure their success. Agile and iterative approaches have become adopted best practices for application development projects, but why don’t we have something similar when it comes to advanced analytics, big data, and AI projects? Without using best-practices approaches that standardize steps for data preparation, data identification, and data protection, it’s hard to achieve the success you’re expecting, wasting money and resources, leading to failure.

In this session we’ll walk through the Cognitive Project Management for AI (CPMAI) methodology to provide you with the foundation needed for project success, especially as you incorporate advanced analytics and AI projects. The CPMAI methodology is the established best practice for AI & ML projects, and increasingly will be demanded by organizations and agencies that plan to develop, procure, and deliver AI and advanced analytics projects. In this session, we will provide real world examples of how CPMAI methodology allows organizations to be more successful and competitive in their AI and big data project efforts.

Mitigating Risk of Natural Disasters with Accelerated Analytics by Antonio Cotroneo, Dir. Technical Content Strategy, OmniSci

Featured Speaker: Antonio Cotroneo, Director of Technical Content Strategy, OmniSci

In response to the growing threat of wildfires, on June 30th, 2021 the current administration assembled Governors from Western states, Cabinet officials, and various partners to discuss ways to protect communities across the country from wildfires and their devastating impacts strengthening fire prevention, preparedness, mitigation, and response efforts, including a need to enhance the utilization of data and technology to protect communities.

This presentation will explore how geospatial companies like OmniSci can play a critical role in understanding factors contributing to wildfires, their associated risks, and impacts on communities across the Western United States, Canada, and beyond. Specifically, Antonio will examine the probability of four and eight-foot flames across California and the cross-section of electrical transmission lines, street networks, building footprints, and data representing vulnerable populations living and working in those spaces.

December 2022 Data for AI

About Data for AI:

The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI.

Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​

Agenda:

  • 11:30-12:30pm: Featured Presentation
  • 12:30-13:00pm: Your Q&A and interaction

November 2022 Data for AI

About Data for AI:

The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI.

Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​

Agenda:

  • 11:30-12:30pm: Featured Presentation
  • 12:30-13:00pm: Your Q&A and interaction

October 2022 Data for AI

About Data for AI:

The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI.

Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​

Agenda:

  • 11:30-12:30pm: Featured Presentation
  • 12:30-13:00pm: Your Q&A and interaction

September 2022 Data for AI

About Data for AI:

The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI.

Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​

Agenda:

  • 11:30-12:30pm: Featured Presentation
  • 12:30-13:00pm: Your Q&A and interaction

August 2022 Data for AI

About Data for AI:

The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI.

Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​

Agenda:

  • 11:30-12:30pm: Featured Presentation
  • 12:30-13:00pm: Your Q&A and interaction

July 2022 Data for AI

About Data for AI:

The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI.

Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​

Agenda:

  • 11:30-12:30pm: Featured Presentation
  • 12:30-13:00pm: Your Q&A and interaction

June 2022 Data for AI

About Data for AI:

The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI.

Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​

Agenda:

  • 11:30-12:30pm: Featured Presentation
  • 12:30-13:00pm: Your Q&A and interaction

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