Artificial Inteligence Data Visualization Industry 
Intercom, Inc.
JULY 25, 2022
New research from Harvard Business Review Analytic Services reveals that businesses of all sizes – from small businesses to enterprises – are realizing the business value of personal, efficient customer engagement. Below, we take a deeper dive into the report’s key data and trends. But they’re facing big barriers.
Intercom, Inc.
SEPTEMBER 9, 2022
GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” Today, we have an interesting topic to discuss.
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Intercom, Inc.
OCTOBER 13, 2020
We are at the start of a revolution in customer communication, powered by machine learning and artificial intelligence. So, modern machine learning opens up vast possibilities – but how do you harness this technology to make an actual customer-facing product? The cupcake approach to building bots.
Mind the Product
AUGUST 19, 2019
Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. What does it mean for us as product managers?
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?
Intercom, Inc.
FEBRUARY 24, 2021
Well, it’s not quite that simple – despite the influx of customer conversations, it can be hard to derive meaningful insights from all that data. Identifying the right insights is key to operating at scale while keeping your customer experience personal, but it’s a huge challenge to find the signal in the noise.
The Product Coalition
MARCH 12, 2022
Photo by Jackson So on Unsplash Artificial intelligence (AI) is changing the way businesses operate across industries, with companies of all sizes using AI for social media and business operations and providing better experiences for their customers. Business Intelligence being data-driven, AI is a natural fit for this field.
Advertiser: Data Robot
Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. How today’s banks can handle the data science talent shortage.
Advertiser: Data Robot
The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Download the report to gain insights including: How to watch for bias in AI. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Download the report to find out: How enterprises in various industries are using MLOps capabilities.
Advertiser: Data Robot
More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions.
Advertiser: Data Robot
Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. How today’s banks can handle the data science talent shortage.
Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino
We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely. Dashboard design do’s and don’ts.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood. Register today to save your seat! December 6th, 2023 at 11:00am PST, 2:00pm EST, 7:pm GMT
Speaker: Conrado Morlan
In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Tools and AI Gadgets 🤖 Overview of essential AI tools and practical implementation tips.
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