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Decision Intelligence and AI
🎙️ Welcome to this episode of the Disambiguation Podcast, “Decision Intelligence and AI”.
🌟 Our special guest, Anand Thaker, Strategic GTM & Operating Advisor and Playaz in Residence, CRM Playaz.
🔍 In this episode, we discuss:
-The definition of "decision intelligence".
-How decision intelligence integrates traditional data analysis with the power of AI and machine learning models.
-A few concrete examples of how decision intelligence is being applied across different industries to transform decision-making.
-Some common challenges organizations might face when adopting decision intelligence, and how they can be overcome.
-How decision intelligence addresses bias and ethical concerns to ensure fair and responsible outcomes.
-The most exciting advancements in decision intelligence with...
published: 05 Apr 2024
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Disambiguation, In-Jokes, and Name Collisions: What You Need to Know When Naming a Python Project
Thursday Bram
https://2018.northbaypython.org/schedule/presentation/15/
This talk covers key issues Python programmers run into when naming new projects. We'll go over the following:
* Commonly used naming schemas in the Python community
* Current and past project names (including those that many newcomers to Python struggle with)
* Techniques to avoid similar confusion in the future (covering both name selection and documentation)
We'll even talk about Monty Python and its long-term impact on the Python programming language.
A Python conference north of the Golden Gate
North Bay Python is a single-track conference with a carefully curated set of talks representing the diverse Python community and their different areas of interest.
If a topic is less to your interest, or...
published: 16 Nov 2018
-
How should we think about disambiguation?
Eric & Ankit explain disambiguation and how to interpret responses that aren't straightforward.
To learn more, please visit http://www.allyo.com
published: 19 Jul 2018
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093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning...
published: 30 Nov 2022
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Disambiguation Podcast AI and the Customer Experience
In this episode we talk to Vanessa Thompson, VP of Product Marketing at Twilio about the impact of generative AI on customer experience. Customer experience is being transformed by the emergence of creative new applications for generative AI. Join us as we explore how leading companies are leveraging the power of next-gen AI to reimagine customer engagement. From intuitive chatbots to hyper-personalized recommendations - generative AI has the potential to automate, enhance and transform CX. We’ll discuss real-world examples of companies using these cutting-edge technologies to drive loyalty, boost satisfaction, and create delightful customer experiences.
published: 29 Sep 2023
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Disambiguation podcast episode 2
In Episode 2 I talk with Jakub Stefaniak, VP of technology strategy and innovation from Aquiva Labs about understanding what AI solutions and innovations are available from the salesforce ecosystem today to assist sales and marketing in increasing productivity. We discuss a variety of topics including some advice for companies looking to implement an AI project.
published: 18 Aug 2023
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Default Disambiguation in Online Parsers
published: 23 Oct 2019
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Linguistics You Can Use: Disambiguation
Disambiguation
Visit craftingsoundmeaning.com for classes, coaching, and workshops.
Twit to us @soundmeaning, email contact@craftingsoundmeaning, or ask your language questions live in the comments.
Linguistics You Can Use - 2022, Apr 22
published: 23 Apr 2022
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AI Secrets for Explosive Growth with Michael Fauscette of Disambiguation Podcast
In this episode, I join host Michael Fauscette to delve into the impact of AI on accelerating sales. They discuss the challenges facing sales professionals, the integration of AI technology in sales strategies, and the potential benefits of using AI in sales. Tune in for valuable insights and AI secrets for explosive growth!
KEY TAKEAWAYS
✔AI can dramatically reduce time spent on tasks, automate execution, and provide custom training to rapidly upskill sales teams.
✔Leveraging AI for deep work tasks like deal strategy and revenue leader tasks can lead to significant time savings and improved outcomes.
✔AI enables salespeople to acquire new skills such as graphic design, music, and video creation within seconds, enhancing their capabilities.
✔Onboarding time for new sales reps can be redu...
published: 08 Apr 2024
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TDSS 86: Solving the Data Quality Problem with Bigeye, Great Expectations, Metaplane, and Lightup.ai
Ben Castleton — Co-founder, Superconductive
Manu Bansal — Founder & CEO, Lightup Data
Kevin Hu — Co-founder & CEO, Metaplane
Egor Gryaznov — Co-founder & CTO, Bigeye
Episode Summary:
In this special episode of The Data Stack Show, Eric and Kostas are joined by the founders of Bigeye, Metaplane, Lightup Data, and Great Expectations. Together they discuss definitions of data terms, creating standards, best practices, and more.
Episode Notes:
Highlights from this week’s conversation include:
Guest introductions (1:02)
Defining data quality (4:08)
Forgetting to apply software best practices (8:33)
Differentiating observability and data quality (17:53)
Who should care about quality in the organization (26:55)
Why this is still a valid conversation (35:44)
The jurisdiction of various compone...
published: 11 May 2022
46:59
Decision Intelligence and AI
🎙️ Welcome to this episode of the Disambiguation Podcast, “Decision Intelligence and AI”.
🌟 Our special guest, Anand Thaker, Strategic GTM & Operating Advisor ...
🎙️ Welcome to this episode of the Disambiguation Podcast, “Decision Intelligence and AI”.
🌟 Our special guest, Anand Thaker, Strategic GTM & Operating Advisor and Playaz in Residence, CRM Playaz.
🔍 In this episode, we discuss:
-The definition of "decision intelligence".
-How decision intelligence integrates traditional data analysis with the power of AI and machine learning models.
-A few concrete examples of how decision intelligence is being applied across different industries to transform decision-making.
-Some common challenges organizations might face when adopting decision intelligence, and how they can be overcome.
-How decision intelligence addresses bias and ethical concerns to ensure fair and responsible outcomes.
-The most exciting advancements in decision intelligence within the next few years.
-How decision intelligence might change the way we approach problem-solving and strategy development on a broader scale.
👥 Perfect for business owners and leaders, department leaders and managers, and tech enthusiasts looking to stay ahead in the rapidly evolving digital world.
📈 Learn from Anand’s experience and discover actionable insights to elevate your business outcomes with the latest AI advancements.
🔗 Don't forget to subscribe for more episodes on how businesses are leveraging AI and generative AI for improved business performance. Share your thoughts in the comments below!
https://wn.com/Decision_Intelligence_And_Ai
🎙️ Welcome to this episode of the Disambiguation Podcast, “Decision Intelligence and AI”.
🌟 Our special guest, Anand Thaker, Strategic GTM & Operating Advisor and Playaz in Residence, CRM Playaz.
🔍 In this episode, we discuss:
-The definition of "decision intelligence".
-How decision intelligence integrates traditional data analysis with the power of AI and machine learning models.
-A few concrete examples of how decision intelligence is being applied across different industries to transform decision-making.
-Some common challenges organizations might face when adopting decision intelligence, and how they can be overcome.
-How decision intelligence addresses bias and ethical concerns to ensure fair and responsible outcomes.
-The most exciting advancements in decision intelligence within the next few years.
-How decision intelligence might change the way we approach problem-solving and strategy development on a broader scale.
👥 Perfect for business owners and leaders, department leaders and managers, and tech enthusiasts looking to stay ahead in the rapidly evolving digital world.
📈 Learn from Anand’s experience and discover actionable insights to elevate your business outcomes with the latest AI advancements.
🔗 Don't forget to subscribe for more episodes on how businesses are leveraging AI and generative AI for improved business performance. Share your thoughts in the comments below!
- published: 05 Apr 2024
- views: 89
26:51
Disambiguation, In-Jokes, and Name Collisions: What You Need to Know When Naming a Python Project
Thursday Bram
https://2018.northbaypython.org/schedule/presentation/15/
This talk covers key issues Python programmers run into when naming new projects. We'l...
Thursday Bram
https://2018.northbaypython.org/schedule/presentation/15/
This talk covers key issues Python programmers run into when naming new projects. We'll go over the following:
* Commonly used naming schemas in the Python community
* Current and past project names (including those that many newcomers to Python struggle with)
* Techniques to avoid similar confusion in the future (covering both name selection and documentation)
We'll even talk about Monty Python and its long-term impact on the Python programming language.
A Python conference north of the Golden Gate
North Bay Python is a single-track conference with a carefully curated set of talks representing the diverse Python community and their different areas of interest.
If a topic is less to your interest, or you've met some people you really want to sit down and chat with, we'll have plenty of areas away from the main theatre to catch up and chat.
Our goal is to keep prices as low as possible. That means we won't be catering lunch. Instead, you can look forward to extra-long lunch breaks you can use to explore all of the great food options around the venue.
https://wn.com/Disambiguation,_In_Jokes,_And_Name_Collisions_What_You_Need_To_Know_When_Naming_A_Python_Project
Thursday Bram
https://2018.northbaypython.org/schedule/presentation/15/
This talk covers key issues Python programmers run into when naming new projects. We'll go over the following:
* Commonly used naming schemas in the Python community
* Current and past project names (including those that many newcomers to Python struggle with)
* Techniques to avoid similar confusion in the future (covering both name selection and documentation)
We'll even talk about Monty Python and its long-term impact on the Python programming language.
A Python conference north of the Golden Gate
North Bay Python is a single-track conference with a carefully curated set of talks representing the diverse Python community and their different areas of interest.
If a topic is less to your interest, or you've met some people you really want to sit down and chat with, we'll have plenty of areas away from the main theatre to catch up and chat.
Our goal is to keep prices as low as possible. That means we won't be catering lunch. Instead, you can look forward to extra-long lunch breaks you can use to explore all of the great food options around the venue.
- published: 16 Nov 2018
- views: 175
6:08
How should we think about disambiguation?
Eric & Ankit explain disambiguation and how to interpret responses that aren't straightforward.
To learn more, please visit http://www.allyo.com
Eric & Ankit explain disambiguation and how to interpret responses that aren't straightforward.
To learn more, please visit http://www.allyo.com
https://wn.com/How_Should_We_Think_About_Disambiguation
Eric & Ankit explain disambiguation and how to interpret responses that aren't straightforward.
To learn more, please visit http://www.allyo.com
- published: 19 Jul 2018
- views: 186
35:11
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities ...
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
https://wn.com/093_Keyword_Disambiguation_Using_Transformers_And_Clustering_To_Build_Cleaner_Knowledge_Nodes2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
- published: 30 Nov 2022
- views: 515
36:04
Disambiguation Podcast AI and the Customer Experience
In this episode we talk to Vanessa Thompson, VP of Product Marketing at Twilio about the impact of generative AI on customer experience. Customer experience is ...
In this episode we talk to Vanessa Thompson, VP of Product Marketing at Twilio about the impact of generative AI on customer experience. Customer experience is being transformed by the emergence of creative new applications for generative AI. Join us as we explore how leading companies are leveraging the power of next-gen AI to reimagine customer engagement. From intuitive chatbots to hyper-personalized recommendations - generative AI has the potential to automate, enhance and transform CX. We’ll discuss real-world examples of companies using these cutting-edge technologies to drive loyalty, boost satisfaction, and create delightful customer experiences.
https://wn.com/Disambiguation_Podcast_Ai_And_The_Customer_Experience
In this episode we talk to Vanessa Thompson, VP of Product Marketing at Twilio about the impact of generative AI on customer experience. Customer experience is being transformed by the emergence of creative new applications for generative AI. Join us as we explore how leading companies are leveraging the power of next-gen AI to reimagine customer engagement. From intuitive chatbots to hyper-personalized recommendations - generative AI has the potential to automate, enhance and transform CX. We’ll discuss real-world examples of companies using these cutting-edge technologies to drive loyalty, boost satisfaction, and create delightful customer experiences.
- published: 29 Sep 2023
- views: 35
33:11
Disambiguation podcast episode 2
In Episode 2 I talk with Jakub Stefaniak, VP of technology strategy and innovation from Aquiva Labs about understanding what AI solutions and innovations are av...
In Episode 2 I talk with Jakub Stefaniak, VP of technology strategy and innovation from Aquiva Labs about understanding what AI solutions and innovations are available from the salesforce ecosystem today to assist sales and marketing in increasing productivity. We discuss a variety of topics including some advice for companies looking to implement an AI project.
https://wn.com/Disambiguation_Podcast_Episode_2
In Episode 2 I talk with Jakub Stefaniak, VP of technology strategy and innovation from Aquiva Labs about understanding what AI solutions and innovations are available from the salesforce ecosystem today to assist sales and marketing in increasing productivity. We discuss a variety of topics including some advice for companies looking to implement an AI project.
- published: 18 Aug 2023
- views: 21
52:00
Linguistics You Can Use: Disambiguation
Disambiguation
Visit craftingsoundmeaning.com for classes, coaching, and workshops.
Twit to us @soundmeaning, email contact@craftingsoundmeaning, or ask your l...
Disambiguation
Visit craftingsoundmeaning.com for classes, coaching, and workshops.
Twit to us @soundmeaning, email contact@craftingsoundmeaning, or ask your language questions live in the comments.
Linguistics You Can Use - 2022, Apr 22
https://wn.com/Linguistics_You_Can_Use_Disambiguation
Disambiguation
Visit craftingsoundmeaning.com for classes, coaching, and workshops.
Twit to us @soundmeaning, email contact@craftingsoundmeaning, or ask your language questions live in the comments.
Linguistics You Can Use - 2022, Apr 22
- published: 23 Apr 2022
- views: 14
37:45
AI Secrets for Explosive Growth with Michael Fauscette of Disambiguation Podcast
In this episode, I join host Michael Fauscette to delve into the impact of AI on accelerating sales. They discuss the challenges facing sales professionals, the...
In this episode, I join host Michael Fauscette to delve into the impact of AI on accelerating sales. They discuss the challenges facing sales professionals, the integration of AI technology in sales strategies, and the potential benefits of using AI in sales. Tune in for valuable insights and AI secrets for explosive growth!
KEY TAKEAWAYS
✔AI can dramatically reduce time spent on tasks, automate execution, and provide custom training to rapidly upskill sales teams.
✔Leveraging AI for deep work tasks like deal strategy and revenue leader tasks can lead to significant time savings and improved outcomes.
✔AI enables salespeople to acquire new skills such as graphic design, music, and video creation within seconds, enhancing their capabilities.
✔Onboarding time for new sales reps can be reduced from months to weeks by using AI to create custom learning plans and role-playing scenarios.
✔Retention can be improved by using AI to automate tasks that salespeople don't enjoy or excel at, increasing job satisfaction.
✔Small and medium businesses can use AI to focus on their top 20% of customers and multiply outcomes without adding headcount.
✔The sales professional of the future should focus on gaining attention through depth over quantity and consistently look for ways to leverage AI in their daily tasks.
✔Tracking progress and iterating on AI usage can lead to becoming a leader in the organization and future-proofing one's career.
#ai #salesstrategies #salessecrets
------------------------------------------
Want To gain back 10-20 hours a week while leveling up your game by 40%?
Gain your exclusive access now :
https://www.aiforrevenue.com/sale-ai-accelerator-home
--------------------------------------------------
Join 2,500+ readers getting weekly practical guidance to scale themselves and their companies using uncommon advantages and Artificial intelligence.
Sign up for Superhuman Revenue Newsletter here: https://superhumanrevenue.beehiiv.com/
Ryan Staley - https://ryanstaley.io/podcast/
LinkedIn - https://www.linkedin.com/in/ryan-staley/
https://wn.com/Ai_Secrets_For_Explosive_Growth_With_Michael_Fauscette_Of_Disambiguation_Podcast
In this episode, I join host Michael Fauscette to delve into the impact of AI on accelerating sales. They discuss the challenges facing sales professionals, the integration of AI technology in sales strategies, and the potential benefits of using AI in sales. Tune in for valuable insights and AI secrets for explosive growth!
KEY TAKEAWAYS
✔AI can dramatically reduce time spent on tasks, automate execution, and provide custom training to rapidly upskill sales teams.
✔Leveraging AI for deep work tasks like deal strategy and revenue leader tasks can lead to significant time savings and improved outcomes.
✔AI enables salespeople to acquire new skills such as graphic design, music, and video creation within seconds, enhancing their capabilities.
✔Onboarding time for new sales reps can be reduced from months to weeks by using AI to create custom learning plans and role-playing scenarios.
✔Retention can be improved by using AI to automate tasks that salespeople don't enjoy or excel at, increasing job satisfaction.
✔Small and medium businesses can use AI to focus on their top 20% of customers and multiply outcomes without adding headcount.
✔The sales professional of the future should focus on gaining attention through depth over quantity and consistently look for ways to leverage AI in their daily tasks.
✔Tracking progress and iterating on AI usage can lead to becoming a leader in the organization and future-proofing one's career.
#ai #salesstrategies #salessecrets
------------------------------------------
Want To gain back 10-20 hours a week while leveling up your game by 40%?
Gain your exclusive access now :
https://www.aiforrevenue.com/sale-ai-accelerator-home
--------------------------------------------------
Join 2,500+ readers getting weekly practical guidance to scale themselves and their companies using uncommon advantages and Artificial intelligence.
Sign up for Superhuman Revenue Newsletter here: https://superhumanrevenue.beehiiv.com/
Ryan Staley - https://ryanstaley.io/podcast/
LinkedIn - https://www.linkedin.com/in/ryan-staley/
- published: 08 Apr 2024
- views: 21
1:01:51
TDSS 86: Solving the Data Quality Problem with Bigeye, Great Expectations, Metaplane, and Lightup.ai
Ben Castleton — Co-founder, Superconductive
Manu Bansal — Founder & CEO, Lightup Data
Kevin Hu — Co-founder & CEO, Metaplane
Egor Gryaznov — Co-founder & CTO, B...
Ben Castleton — Co-founder, Superconductive
Manu Bansal — Founder & CEO, Lightup Data
Kevin Hu — Co-founder & CEO, Metaplane
Egor Gryaznov — Co-founder & CTO, Bigeye
Episode Summary:
In this special episode of The Data Stack Show, Eric and Kostas are joined by the founders of Bigeye, Metaplane, Lightup Data, and Great Expectations. Together they discuss definitions of data terms, creating standards, best practices, and more.
Episode Notes:
Highlights from this week’s conversation include:
Guest introductions (1:02)
Defining data quality (4:08)
Forgetting to apply software best practices (8:33)
Differentiating observability and data quality (17:53)
Who should care about quality in the organization (26:55)
Why this is still a valid conversation (35:44)
The jurisdiction of various components (45:39)
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.
https://wn.com/Tdss_86_Solving_The_Data_Quality_Problem_With_Bigeye,_Great_Expectations,_Metaplane,_And_Lightup.Ai
Ben Castleton — Co-founder, Superconductive
Manu Bansal — Founder & CEO, Lightup Data
Kevin Hu — Co-founder & CEO, Metaplane
Egor Gryaznov — Co-founder & CTO, Bigeye
Episode Summary:
In this special episode of The Data Stack Show, Eric and Kostas are joined by the founders of Bigeye, Metaplane, Lightup Data, and Great Expectations. Together they discuss definitions of data terms, creating standards, best practices, and more.
Episode Notes:
Highlights from this week’s conversation include:
Guest introductions (1:02)
Defining data quality (4:08)
Forgetting to apply software best practices (8:33)
Differentiating observability and data quality (17:53)
Who should care about quality in the organization (26:55)
Why this is still a valid conversation (35:44)
The jurisdiction of various components (45:39)
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.
- published: 11 May 2022
- views: 571