Podcast
Questions and Answers
The age of spreadsheet is over. A google search, a passport scan, your online shopping history, a tweet. All of these contain data that can be collected, analysed, and ______.
The age of spreadsheet is over. A google search, a passport scan, your online shopping history, a tweet. All of these contain data that can be collected, analysed, and ______.
monetised
Supercomputers and algorithms allow us to make sense of an increasingly large amount of information in real time. Data is all around us and is the foundation of ______.
Supercomputers and algorithms allow us to make sense of an increasingly large amount of information in real time. Data is all around us and is the foundation of ______.
Artificial Intelligence
The Internet of Things (IoT) and sensors have the ability to harness large volumes of ______, while Artificial Intelligence (AI) can learn patterns in the data to automate tasks for a variety of business benefits.
The Internet of Things (IoT) and sensors have the ability to harness large volumes of ______, while Artificial Intelligence (AI) can learn patterns in the data to automate tasks for a variety of business benefits.
data
Data science is an interdisciplinary field to extract knowledge or insights from data. AI doesn't work without ______. It consumes data in order to learn.
Data science is an interdisciplinary field to extract knowledge or insights from data. AI doesn't work without ______. It consumes data in order to learn.
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Big data refers to the massive sets of data that are now available for this purpose. These sets of data can be analysed by machines. This can reveal patterns and trends, and facilitate making future ______.
Big data refers to the massive sets of data that are now available for this purpose. These sets of data can be analysed by machines. This can reveal patterns and trends, and facilitate making future ______.
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Al can help marketers pers______alise and target email c______tent, identify topics to use, and to analyze the results of c______tent marketing campaigns. The software c______trolling aut______omous vehicle features works with o c______trol radar systems, lane c______trol features, accident avoidance featur cameras, GPS and much more. Much of this technology is Al based, un relies heavily ______ data to functi______. Al software can be used for product testing, including the creati______ t simulati______s. It can also be used to predict maintenance needs and co IBM Wats______ is an Al technology that helps physicians quickly ident key informati______ in a patient's medical record to provide relevant explore treatment opti______s. It takes in a patient's medical records then provides its evident-based and pers______alised recommendati______ fuelled by informati______ from a curated collecti______ of 300+ journals, 200 textbooks, and 15+ pages of texts which give doctors instant access to a wealth of informati______ pers______alised to the patient's treatment plan. evidence IBM Wats______ IBM Wats______ When beginning to adopt AI, many manufacturers discover that their data wi many different formats. They'll need to c______vert the data into a comm______ form and import it to a comm______ system, where it can be used to build models. It's the future where organisati______s translate data into elevated employe productivity, optimised supply chains and next generati______ customer experience using the power of AI. For example Amaz______. It knows what customers are going to buy before they go anywhere near the logout, thanks to predictive analytics and t______s of customer data. Data analytics and artificial intelligence make it possible to link data to gain insights ______ customers, grow the business, and optimise the speed and quality of logistics. You need to be able to transform any data you colle into useful informati______, otherwise it is more likely to just waste resources and add even more complexity. Facing the Challenges Regardless of the source of your data, there are challenges involved in aggregating data that is relevant to a business problem, analysing it and gaining insights from it, for several reas______s, including: It's not easy to figure out what kind of data is needed: Working backwards from a problem you want to solve, you need to determine the type of data you need to gather. Companies are not always sure of what they need or how to get that informati______. owned ______ have to determine to build the afgelehel Once you take the data, you have that etermine the best attributes for the dar build an algorithm that effectively answers your business quest Data traind informati______ codi...
Al can help marketers pers______alise and target email c______tent, identify topics to use, and to analyze the results of c______tent marketing campaigns. The software c______trolling aut______omous vehicle features works with o c______trol radar systems, lane c______trol features, accident avoidance featur cameras, GPS and much more. Much of this technology is Al based, un relies heavily ______ data to functi______. Al software can be used for product testing, including the creati______ t simulati______s. It can also be used to predict maintenance needs and co IBM Wats______ is an Al technology that helps physicians quickly ident key informati______ in a patient's medical record to provide relevant explore treatment opti______s. It takes in a patient's medical records then provides its evident-based and pers______alised recommendati______ fuelled by informati______ from a curated collecti______ of 300+ journals, 200 textbooks, and 15+ pages of texts which give doctors instant access to a wealth of informati______ pers______alised to the patient's treatment plan. evidence IBM Wats______ IBM Wats______ When beginning to adopt AI, many manufacturers discover that their data wi many different formats. They'll need to c______vert the data into a comm______ form and import it to a comm______ system, where it can be used to build models. It's the future where organisati______s translate data into elevated employe productivity, optimised supply chains and next generati______ customer experience using the power of AI. For example Amaz______. It knows what customers are going to buy before they go anywhere near the logout, thanks to predictive analytics and t______s of customer data. Data analytics and artificial intelligence make it possible to link data to gain insights ______ customers, grow the business, and optimise the speed and quality of logistics. You need to be able to transform any data you colle into useful informati______, otherwise it is more likely to just waste resources and add even more complexity. Facing the Challenges Regardless of the source of your data, there are challenges involved in aggregating data that is relevant to a business problem, analysing it and gaining insights from it, for several reas______s, including: It's not easy to figure out what kind of data is needed: Working backwards from a problem you want to solve, you need to determine the type of data you need to gather. Companies are not always sure of what they need or how to get that informati______. owned ______ have to determine to build the afgelehel Once you take the data, you have that etermine the best attributes for the dar build an algorithm that effectively answers your business quest Data traind informati______ codi...
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IBM Watson is an AI technology that helps physicians quickly identify key information in a patient's medical record to provide relevant explore treatment options. It takes in a patient's medical records then provides its evident-based and personalised recommendation fuelled by information from a curated collection of 300+ journals, 200 textbooks, and 15+ pages of texts which give doctors instant access to a wealth of information personalised to the patient's treatment plan. evidence IBM Watson IBM Watson When beginning to adopt AI, ______ manufacturers discover that their data will ______ different formats. They'll need to convert the data into a common form and import it to a common system, where it can be used to build models. It's the future where organisations translate data into elevated employe productivity, optimised supply chains and next generation customer experience using the power of AI. For example Amazon. It knows what customers are going to buy before they go anywhere near the logout, thanks to predictive analytics and tons of customer data. Data analytics and artificial intelligence make it possible to link data to gain insights on customers, grow the business, and optimise the speed and quality of logistics. You need to be able to transform any data you collect into useful information, otherwise it is more likely to just waste resources and add even more complexity. Facing the Challenges Regardless of the source of your data, there are challenges involved in aggregating data that is relevant to a business problem, analysing it and gaining insights from it, for several reasons, including: It's not easy to figure out what kind of data is needed: Working backwards from a problem you want to solve, you need to determine the type of data you need to gather. Companies are not always sure of what they need or how to get that information. owned on have to determine to build the afgelehel Once you take the data, you have that determine the best attributes for the dar build an algorithm that effectively answers your business quest Data traind information codi...
IBM Watson is an AI technology that helps physicians quickly identify key information in a patient's medical record to provide relevant explore treatment options. It takes in a patient's medical records then provides its evident-based and personalised recommendation fuelled by information from a curated collection of 300+ journals, 200 textbooks, and 15+ pages of texts which give doctors instant access to a wealth of information personalised to the patient's treatment plan. evidence IBM Watson IBM Watson When beginning to adopt AI, ______ manufacturers discover that their data will ______ different formats. They'll need to convert the data into a common form and import it to a common system, where it can be used to build models. It's the future where organisations translate data into elevated employe productivity, optimised supply chains and next generation customer experience using the power of AI. For example Amazon. It knows what customers are going to buy before they go anywhere near the logout, thanks to predictive analytics and tons of customer data. Data analytics and artificial intelligence make it possible to link data to gain insights on customers, grow the business, and optimise the speed and quality of logistics. You need to be able to transform any data you collect into useful information, otherwise it is more likely to just waste resources and add even more complexity. Facing the Challenges Regardless of the source of your data, there are challenges involved in aggregating data that is relevant to a business problem, analysing it and gaining insights from it, for several reasons, including: It's not easy to figure out what kind of data is needed: Working backwards from a problem you want to solve, you need to determine the type of data you need to gather. Companies are not always sure of what they need or how to get that information. owned on have to determine to build the afgelehel Once you take the data, you have that determine the best attributes for the dar build an algorithm that effectively answers your business quest Data traind information codi...
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Companies are not always sure of what ______ need or how to get that information. owned on have to determine to build the afgelehel Once you take the data, you have that determine the best attributes for the dar build an algorithm that effectively answers your business quest Data traind information codi...
Companies are not always sure of what ______ need or how to get that information. owned on have to determine to build the afgelehel Once you take the data, you have that determine the best attributes for the dar build an algorithm that effectively answers your business quest Data traind information codi...
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Once you take the data, you have that determine the best attributes for the dar build an algorithm that effectively answers your business quest Data traind information codi...
Once you take the data, you have that determine the best attributes for the dar build an algorithm that effectively answers your business quest Data traind information codi...
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Data traind information codi...
Data traind information codi...
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The age of spreadsheet is over.
The age of spreadsheet is over.
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Data science is a unidisciplinary field.
Data science is a unidisciplinary field.
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Artificial Intelligence can function without consuming data.
Artificial Intelligence can function without consuming data.
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IBM Watson is an AI technology exclusively used for product testing.
IBM Watson is an AI technology exclusively used for product testing.
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Companies always know what data they need and how to get that information.
Companies always know what data they need and how to get that information.
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Big data can only be analyzed by humans, not machines.
Big data can only be analyzed by humans, not machines.
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AI cannot be used for predicting upcoming customer orders for the next season.
AI cannot be used for predicting upcoming customer orders for the next season.
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AI technologies like IBM Watson provide instant access to a wealth of information for personalized treatment plans.
AI technologies like IBM Watson provide instant access to a wealth of information for personalized treatment plans.
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Al can only be used for product testing, and not for maintenance predictions.
Al can only be used for product testing, and not for maintenance predictions.
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Data analytics and artificial intelligence cannot be linked to gain insights on customers.
Data analytics and artificial intelligence cannot be linked to gain insights on customers.
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