Artificial intelligence is popping up all around
Artificial intelligence is popping up all around us everywhere we look, both in areas that border on science fiction (self-driving vehicles) to the more mundane (what show should I watch on Netflix?). While AI is a fairly broad area of study in computer science, most of the excitement these days is centered on an area of AI called machine learning and in particular a technique called deep learning. Machine learning aims to let algorithms learn and predict answers to problems by analysing data to make predictions on their own.
Machine learning is already powering software you are using every day. Services like Google and Facebook photos, voice assistants like Siri, Alexa and Google Home, recommendation systems from Amazon and Netflix just to name a few. You can expect to see more and more applications leveraging this powerful technology.
Artificial intelligence is popping up all around
Artificial intelligence is popping up all around us everywhere we look, both in areas that border on science fiction (self-driving vehicles) to the more mundane (what show should I watch on Netflix?). While AI is a fairly broad area of study in computer science, most of the excitement these days is centered on an area of AI called machine learning and in particular a technique called deep learning. Machine learning aims to let algorithms learn and predict answers to problems by analysing data to make predictions on their own.
Machine learning is already powering software you are using every day. Services like Google and Facebook photos, voice assistants like Siri, Alexa and Google Home, recommendation systems from Amazon and Netflix just to name a few. You can expect to see more and more applications leveraging this powerful technology.
How AI fits with big data
There’s a reciprocal relationship between big data and AI: The latter depends heavily on the former for success, while also helping organizations unlock the potential in their data stores in ways that were previously cumbersome or impossible.
“Today, we want as much [data] as we can get – not only to drive better insight into business problems we’re trying to solve, but because the more data we put through the machine learning models.
How AI fits with big data
There’s a reciprocal relationship between big data and AI: The latter depends heavily on the former for success, while also helping organizations unlock the potential in their data stores in ways that were previously cumbersome or impossible.
“Today, we want as much [data] as we can get – not only to drive better insight into business problems we’re trying to solve, but because the more data we put through the machine learning models.
Preparing your data for AI
While your organisation may not be at the stage where you are ready to start building AI applications, at a minimum you should be planning on a future where your data will be used to power smart solutions. Treat every new initiative or project as an opportunity to build a foundation for future data models. To generate and collect well designed data, start with focusing questions.
Preparing your data for AI
While your organisation may not be at the stage where you are ready to start building AI applications, at a minimum you should be planning on a future where your data will be used to power smart solutions. Treat every new initiative or project as an opportunity to build a foundation for future data models. To generate and collect well designed data, start with focusing questions.
Don't guess
Taking the guesswork out of marketing by using factual data to enhance customer journey and grow your business. Thanks to AI and sentiment analysis, you can manage vast amounts of data, understand the insights shared by consumers and merge all types of social data with other data streams to discover customer needs, intents and preferences, all with unprecedented precision.
So stop guessing and let us monitor and analyse the conversations taking place about your brand and easily label and measure the sentiment around your business to fine-tune your messaging and win loyal customers.
Don't guess
Taking the guesswork out of marketing by using factual data to enhance customer journey and grow your business. Thanks to AI and sentiment analysis, you can manage vast amounts of data, understand the insights shared by consumers and merge all types of social data with other data streams to discover customer needs, intents and preferences, all with unprecedented precision.
So stop guessing and let us monitor and analyse the conversations taking place about your brand and easily label and measure the sentiment around your business to fine-tune your messaging and win loyal customers.
