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Building Resolution Bot: How to apply machine learning in product development

Intercom, Inc.

We are at the start of a revolution in customer communication, powered by machine learning and artificial intelligence. Our Custom Bots and Resolution Bot already work for thousands of businesses every day. These bots help businesses deliver both radical efficiencies and better, faster support experiences.

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The new dawn of Machine Learning

Intercom, Inc.

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?” It’s all about artificial intelligence and machine learning.

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The AI Agency - A Novel GTM for Machine Learning SaaS Startups

Tom Tunguz

Both of those businesses are now worth more than $3B. AI Agencies use machine learning to disrupt a market dominated by agencies. Often, these startups begin as software companies selling machine learning software into agencies. The startup leverages machine learning under the hood.

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How to Use Machine Learning to Improve Your Digital Marketing

Neil Patel

Machine learning is on the verge of transforming the marketing sector. According to Gartner , 30% of companies will use machine learning in one part of their sales process by 2020. In other words, machine learning isn’t just for computer scientists. What Is Machine Learning?

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How Banks Are Winning with AI and Automated Machine Learning

By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the whitepaper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

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Need to Know | Embedded Finance Unlocks Value for Underserved Small Business Sectors

Stax

The rapid evolution of embedded payments is reshaping industries and unlocking new opportunities, particularly for small business sectors that have often been overlooked. Gray also underscored how AI and machine learning are creating efficiencies in fraud prevention by leveraging consolidated, high-quality data across payment lifecycles.

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Usage as the Moat in AI

Tom Tunguz

As generative AI captivates Startupland, startups will do what they have always done: integrate new technology to build transformative businesses. Machine learning systems, like any complex program, benefit from more use. In response, startups must develop moats to stake out their market. What are these moats?

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How Banks Are Winning with AI and Automated Machine Learning

By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

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Intelligent Process Automation: Boosting Bots with AI and Machine Learning

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. In Data Robot's new ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning, we cover important issues related to IPA, including: What is RPA? What is AI?

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Resilient Machine Learning with MLOps

But we can take the right actions to prevent failure and ensure that AI systems perform to predictably high standards, meet business needs, unlock additional resources for financial sustainability, and reflect the real patterns observed in the outside world. We do not know what the future holds.

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The Business Value of MLOps

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. It is based on interviews with MLOps user companies and several MLOps experts. Which organizational challenges affect MLOps implementations.

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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability.

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.

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Build Trustworthy AI With MLOps

Trust is an essential part of doing business. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions.

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How to Choose an AI Vendor

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. This white paper covers: The top challenges businesses face when evaluating AI vendors. How businesses can gain immediate value from AI.