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Title & Speakers	Event
Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00 To access this webinar, please register here: https://hubs.li/Q01-lRxv0 Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries” Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research. Abstract: The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes. We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks. We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs. The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence. In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making. This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications. They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/	Leveraging Location Intelligence Data for Data Scientists
Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00 To access this webinar, please register here: https://hubs.li/Q01-lRxv0 Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries” Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research. Abstract: The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes. We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks. We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs. The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence. In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making. This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications. They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/	Leveraging Location Intelligence Data for Data Scientists
Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00 To access this webinar, please register here: https://hubs.li/Q01-lRxv0 Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries” Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research. Abstract: The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes. We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks. We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs. The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence. In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making. This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications. They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/	Leveraging Location Intelligence Data for Data Scientists
Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00 To access this webinar, please register here: https://hubs.li/Q01-lRxv0 Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries” Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research. Abstract: The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes. We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks. We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs. The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence. In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making. This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications. They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/	Leveraging Location Intelligence Data for Data Scientists
Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00 To access this webinar, please register here: https://hubs.li/Q01-lRxv0 Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries” Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research. Abstract: The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes. We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks. We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs. The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence. In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making. This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications. They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/	Leveraging Location Intelligence Data for Data Scientists
Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00 To access this webinar, please register here: https://hubs.li/Q01-lRxv0 Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries” Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research. Abstract: The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes. We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks. We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs. The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence. In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making. This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications. They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/	Leveraging Location Intelligence Data for Data Scientists
Geospatial Data Science Quick Start Guide 2019-05-31 Jayakrishnan Vijayaraghavan – author , Abdishakur Hassan – author "Geospatial Data Science Quick Start Guide" provides a practical and effective introduction to leveraging geospatial data in data science. In this book, you will learn techniques for analyzing location-based data, building intelligent models, and performing geospatial operations for various applications. What this Book will help me do Understand the principles and techniques for analyzing geospatial data. Set up Python tools to work effectively with location intelligence. Perform advanced spatial operations such as geocoding and proximity analysis. Develop systems such as geofencing and location-based recommendation engines. Obtain actionable insights by visualizing and processing spatial data effectively. Author(s) Abdishakur Hassan and Jayakrishnan Vijayaraghavan are experts in geospatial analysis. With extensive experience in applying data science to location intelligence, they bring a practical and hands-on approach to coding, teaching, and problem-solving. They are passionate about sharing their knowledge through their clear explanations and structured learning paths. Who is it for? This book is ideal for data scientists interested in integrating geospatial analysis into their models and workflows. It is also suitable for GIS developers looking to enhance existing systems with advanced data analysis capabilities. Readers should have experience with Python and a basic understanding of data science concepts. If location-based data intrigues you, this book is your guide. data data-engineering location-data geographic-information-system-gis geographic information system (gis) Data Science GIS Python	O'Reilly Data Engineering Books

Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00

To access this webinar, please register here: https://hubs.li/Q01-lRxv0

Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries”

Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely

Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research.

Abstract:

The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes.

We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks.

We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs.

The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence.

In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making.

This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications.

They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes.

ODSC Links:

• Get free access to more talks/trainings like this at Ai+ Training platform:

https://hubs.li/H0Zycsf0

• ODSC blog: https://opendatascience.com/

• Facebook: https://www.facebook.com/OPENDATASCI

• Twitter: https://twitter.com/_ODSC & @odsc

• LinkedIn: https://www.linkedin.com/company/open-data-science

• Slack Channel: https://hubs.li/Q01_Yrgb0

• Code of conduct: https://odsc.com/code-of-conduct/

Leveraging Location Intelligence Data for Data Scientists

Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00

To access this webinar, please register here: https://hubs.li/Q01-lRxv0

Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries”

Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely

Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research.

Abstract:

The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes.

We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks.

We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs.

The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence.

In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making.

This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications.

They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes.

ODSC Links:

• Get free access to more talks/trainings like this at Ai+ Training platform:

https://hubs.li/H0Zycsf0

• ODSC blog: https://opendatascience.com/

• Facebook: https://www.facebook.com/OPENDATASCI

• Twitter: https://twitter.com/_ODSC & @odsc

• LinkedIn: https://www.linkedin.com/company/open-data-science

• Slack Channel: https://hubs.li/Q01_Yrgb0

• Code of conduct: https://odsc.com/code-of-conduct/

Leveraging Location Intelligence Data for Data Scientists

Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00

To access this webinar, please register here: https://hubs.li/Q01-lRxv0

Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries”

Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely

Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research.

Abstract:

The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes.

We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks.

We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs.

The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence.

In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making.

This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications.

They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes.

ODSC Links:

• Get free access to more talks/trainings like this at Ai+ Training platform:

https://hubs.li/H0Zycsf0

• ODSC blog: https://opendatascience.com/

• Facebook: https://www.facebook.com/OPENDATASCI

• Twitter: https://twitter.com/_ODSC & @odsc

• LinkedIn: https://www.linkedin.com/company/open-data-science

• Slack Channel: https://hubs.li/Q01_Yrgb0

• Code of conduct: https://odsc.com/code-of-conduct/

Leveraging Location Intelligence Data for Data Scientists

Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00

To access this webinar, please register here: https://hubs.li/Q01-lRxv0

Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries”

Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely

Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research.

Abstract:

The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes.

We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks.

We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs.

The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence.

In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making.

This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications.

They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes.

ODSC Links:

• Get free access to more talks/trainings like this at Ai+ Training platform:

https://hubs.li/H0Zycsf0

• ODSC blog: https://opendatascience.com/

• Facebook: https://www.facebook.com/OPENDATASCI

• Twitter: https://twitter.com/_ODSC & @odsc

• LinkedIn: https://www.linkedin.com/company/open-data-science

• Slack Channel: https://hubs.li/Q01_Yrgb0

• Code of conduct: https://odsc.com/code-of-conduct/

Leveraging Location Intelligence Data for Data Scientists

Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00

To access this webinar, please register here: https://hubs.li/Q01-lRxv0

Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries”

Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely

Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research.

Abstract:

The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes.

We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks.

We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs.

The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence.

In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making.

This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications.

They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes.

ODSC Links:

• Get free access to more talks/trainings like this at Ai+ Training platform:

https://hubs.li/H0Zycsf0

• ODSC blog: https://opendatascience.com/

• Facebook: https://www.facebook.com/OPENDATASCI

• Twitter: https://twitter.com/_ODSC & @odsc

• LinkedIn: https://www.linkedin.com/company/open-data-science

• Slack Channel: https://hubs.li/Q01_Yrgb0

• Code of conduct: https://odsc.com/code-of-conduct/

Leveraging Location Intelligence Data for Data Scientists

Leveraging Location Intelligence Data for Data Scientists 2023-09-19 · 16:00

To access this webinar, please register here: https://hubs.li/Q01-lRxv0

Topic: “Leveraging Location Intelligence Data for Data Scientists: Enhancing Analytics and Applications Across Industries”

Speaker: Dr. Mohammed Taboun, Principal Data Scientist at Precisely

Over the past 15 years, Mohammed has consistently demonstrated exceptional expertise in his field applied to various industries including technology, oil and gas, energy and utilities and telecommunications. With a strong academic background, Mohammed holds a PhD in Mechanical Engineering, specializing in Intelligent Control Systems, as well as a Master of Applied Science (MASc) and a Bachelor of Applied Science (BASc) in Industrial Engineering, focusing on Operations Research.

Abstract:

The rapid growth of data-driven decision-making has underscored the importance of location intelligence data in modern industries. This presentation aims to provide a comprehensive overview of location data, its challenges and applications, and its value to data scientists in their analytics processes.

We begin by exploring the foundational aspects of location data, including addresses, geo-addressing, and data enrichment, followed by examining the challenges data scientists face in managing and analyzing complex datasets in modern networks.

We then delve into how location data can enhance analytics, offering richer context and more accurate insights for better decision-making. A telecom fiber planning example will illustrate the practical applications of location data in improving infrastructure development and reducing costs.

The presentation highlights the versatility of location data by discussing its applications across various industries, such as retail, transportation, and environmental management. Businesses can optimize processes, boost efficiency, and better understand their target markets by leveraging location intelligence.

In addition to location data, we touch upon other types of data enrichment, such as fire, flood, and demographics data, which can be integrated with location data to provide a more comprehensive understanding of the factors affecting industries and communities. By combining these data sources, data scientists can develop more sophisticated models and analyses to inform decision-making.

This presentation offers a deep dive into the value of location intelligence data for data scientists, demonstrating its potential in enhancing analytics and applications across a wide range of industries. The audience will learn about the importance of location intelligence data in modern industries, its challenges, and how it can be leveraged to enhance analytics and applications.

They will also gain an understanding of the versatility of location data in different industries and the potential for cost reduction and infrastructure development. By integrating location data and other forms of data enrichment, data scientists can unlock new levels of insight and drive more informed, strategic decision-making processes.

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Leveraging Location Intelligence Data for Data Scientists

Geospatial Data Science Quick Start Guide 2019-05-31

Jayakrishnan Vijayaraghavan – author , Abdishakur Hassan – author

"Geospatial Data Science Quick Start Guide" provides a practical and effective introduction to leveraging geospatial data in data science. In this book, you will learn techniques for analyzing location-based data, building intelligent models, and performing geospatial operations for various applications. What this Book will help me do Understand the principles and techniques for analyzing geospatial data. Set up Python tools to work effectively with location intelligence. Perform advanced spatial operations such as geocoding and proximity analysis. Develop systems such as geofencing and location-based recommendation engines. Obtain actionable insights by visualizing and processing spatial data effectively. Author(s) Abdishakur Hassan and Jayakrishnan Vijayaraghavan are experts in geospatial analysis. With extensive experience in applying data science to location intelligence, they bring a practical and hands-on approach to coding, teaching, and problem-solving. They are passionate about sharing their knowledge through their clear explanations and structured learning paths. Who is it for? This book is ideal for data scientists interested in integrating geospatial analysis into their models and workflows. It is also suitable for GIS developers looking to enhance existing systems with advanced data analysis capabilities. Readers should have experience with Python and a basic understanding of data science concepts. If location-based data intrigues you, this book is your guide.

data data-engineering location-data geographic-information-system-gis geographic information system (gis) Data Science GIS Python

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