Inside Intercom

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?”

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Machine Learning Technology AI Innovation 100

SaaStr

MAY 19, 2020

One area to watch here is no doubt artificial intelligence, with numerous companies having taken it upon themselves to apply machine learning and deep learning to give themselves an edge in the industry. Healthcare SaaS companies should turn to Machine Learning.

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Machine Learning Healthcare AI SaaS 237

InsightSquared

JULY 14, 2020

All it needs is a little help from machine learning. Machine Learning Raises the Bar. This is where machine learning will change the game for you. Machine Learning Brings Intelligence to Forecasting. Machine Learning Provides Validation.

Machine Learning 62

Machine Learning Forecasting Benchmarks Trends 62

Sales Hacker

FEBRUARY 1, 2022

Today’s guest, Joshua Thomas , VP of External Communications at Flock Safety , talks with us about how machine learning can reduce human biases and provide ethical, actionable evidence to police in crimes with cars involved. The ins and outs of ethical machine learning.

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Machine Learning Sales Innovation Communication 71

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. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. 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.

Machine Learning

Inside Intercom

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?

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Machine Learning Development User Experience Technology 111

OpenView Labs

NOVEMBER 18, 2021

Multiple companies at the forefront of machine learning adopted this product, like Uber, Etsy, and Ancestry. . We’re excited to support them in their mission to help every enterprise achieve success in machine learning.

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Machine Learning AI Enterprise Engineering 65

Andreessen Horowitz

OCTOBER 5, 2022

The post Why Applying Machine Learning to Biology is Hard – But Worth It appeared first on Future. Jimmy Lin is CSO of Freenome, which is developing blood-based tests for early cancer detection, starting with colon cancer.

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Machine Learning Development Scaling Data 77

Andreessen Horowitz

FEBRUARY 8, 2019

Artificial intelligence has not only become an international arms race, competition has now heated up as companies look to adopt machine learning/deep learning at an unprecedented pace. But the conversation about AI has largely focused on pitting humanity against AI, … AI, machine & deep learning autonomous cars & drones our Summit events Summit 2018

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Machine Learning AI 71

Inside Intercom

JUNE 22, 2018

It’s easy to believe that machine learning is hard. After all, you’re teaching machines that work in ones and zeros to reach their own conclusions about the world. Indeed, the majority of literature on machine learning is riddled with complex notation, formulae and superfluous language. As Intercom’s own machine learning expert, Fergal Reid , puts it, machine learning is basically a branch of applied statistics.

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Machine Learning Interviewing Retention Customer Support 87

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. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. 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.

Machine Learning

IT World

MAY 6, 2020

Spell , an end-to-end platform for machine learning and deep learning—covering data prep, training, deployment, and management—has announced Spell for Private Machines , a new version of its system that can be deployed on your own hardware as well as on cloud resources.

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Machine Learning AI Cloud Engineering 60

Think Strategies

OCTOBER 23, 2017

Now, enlightened CIOs are exploring ways to employ artificial intelligence (AI) and machine learning (ML) to actively engage their IT teams as key players in the rapidly evolving digital transformation efforts within their organizations. Uncategorized AI Artificial Intelligence Machine Learning ML Service.nowFor the past decade, many IT departments have been on the defensive trying to keep pace with escalating end-user demands and competitive pressures.

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Machine Learning Strategy AI Cloud 100

Ryan Berg

OCTOBER 16, 2018

Machine learning RetentionAccording to research conducted by UrbanAirship, 95% of opt-in users who don’t receive a push notification in the first 90 days will churn. And users who received more than one push message a day had 820% higher retention rates than users who received zero notifications. But just blasting users with frequent messages isn’t a guaranteed way to reduce churn, and the wrong message at the wrong time. Source.

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Machine Learning Churn Retention 45

Tomasz Tunguz

JANUARY 21, 2017

2016 was the year of machine learning. During last quarter of 2016, machine learning research has made huge strides. While some may groan that every pitch deck is littered with the words machine learning or artificial intelligence, I think each deck ought to be. Because over the next five to ten years, nearly every company will use machine learning in some form.

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Machine Learning Mobile Innovation Advertising 40

Advertiser: Data Robot

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. With the pairing of AI and RPA, IPA adds a new layer of intelligent decision-making processes to automated RPA tasks. By automating repetitive work, and adding the ability to automate intelligent decision making, intelligent automation frees up your most valuable resources – your employees – to spend more time on higher value and more strategic work. But in order to reap the rewards of Intelligent Process Automation, organizations must first educate themselves and prepare for the adoption of IPA. In our ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning.

Machine Learning

Aber Law Firm

MARCH 15, 2017

Machine learning agreements or AI agreements are super new, and actually very interesting. Not much has been written on these agreements, so I thought I would share a few thoughts on the big issues (from the perspective of the AI/machine learning software vendor).

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Machine Learning AI Cloud Education 52

TreehouseTechGroup

SEPTEMBER 2, 2020

Equally, research has focused on enabling computers to glean insights from data, which can help improve the originally… The post How Machine Learning Is Uncovering New Insights From Data appeared first on Treehouse Tech Group.

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Machine Learning Technology AI Data 52

TreehouseTechGroup

SEPTEMBER 2, 2020

The post How Machine Learning Is Uncovering New Insights From Data appeared first on Treehouse Tech Group Artificial intelligence (AI) algorithms have been in use for at least half a century since the term was coined.

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Machine Learning Technology AI Data 52

OPEXEngine

DECEMBER 24, 2019

Here’s how more advanced methods of automation, including machine learning, can help CFOs transform the finance function to be more of a strategic advisor to the business. In a recent McKinsey survey, only 13 percent of CFOs and other senior business executives polled said their finance organizations use automation technologies, such as robotic process automation (RPA) and machine learning. Where Automation and Machine Learning Can Drive Finance Transformation.

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Machine Learning Finance Banking AI 40

Advertiser: Data Robot

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.

Machine Learning

Aber Law Firm

MARCH 15, 2017

Machine learning agreements or AI agreements are super new, and actually very interesting. Not much has been written on these agreements, so I thought I would share a few thoughts on the big issues (from the perspective of the AI/machine learning software vendor). WHO OWNS THE MACHINE LEARNING MODEL? Usually customers own their input and output data from software programs, but it is not that simple with AI and machine learning agreements.

Machine Learning 40

Machine Learning AI Cloud Education 40

Aber Law Firm

MARCH 15, 2017

Machine learning agreements or AI agreements are super new, and actually very interesting. Not much has been written on these agreements, so I thought I would share a few thoughts on the big issues (from the perspective of the AI/machine learning software vendor). WHO OWNS THE MACHINE LEARNING MODEL? Usually customers own their input and output data from software programs, but it is not that simple with AI and machine learning agreements.

Machine Learning 40

Machine Learning AI Cloud Education 40

Aber Law Firm

MARCH 15, 2017

Machine learning agreements or AI agreements are super new, and actually very interesting. Not much has been written on these agreements, so I thought I would share a few thoughts on the big issues (from the perspective of the AI/machine learning software vendor). WHO OWNS THE MACHINE LEARNING MODEL? Usually customers own their input and output data from software programs, but it is not that simple with AI and machine learning agreements.

Machine Learning 40

Machine Learning AI Education Data 40

Aber Law Firm

MARCH 15, 2017

Machine learning agreements or AI agreements are super new, and actually very interesting. Not much has been written on these agreements, so I thought I would share a few thoughts on the big issues (from the perspective of the AI/machine learning software vendor). WHO OWNS THE MACHINE LEARNING MODEL? Usually customers own their input and output data from software programs, but it is not that simple with AI and machine learning agreements.

Machine Learning 40

Machine Learning AI Education Data 40

Advertiser: Data Robot

Machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. Discover the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.

Machine Learning

IT World

DECEMBER 5, 2019

Amazon Web Services has expanded the capabilities of its Amazon SageMaker machine learning toolkit to address a number of challenges that enterprises confront when trying to operationalize machine learning, from model organization, training, and optimization to monitoring the performance of models in production.

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Machine Learning Enterprise Management 40

ReSci

MAY 29, 2017

Machine learning can help marketers of subscription e-commerce businesses by providing predictive insights. The post Machine Learning Predictions for Subscription Companies appeared first on ReSci. With the rapid acceleration of Subscription business models, several native e-Commerce companies like Amazon, Starbucks, and Sephora are moving towards adopting the subscription model.

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Machine Learning Subscription Business Model Retention 40

Sales Hacker

MARCH 18, 2020

Informed and actionable business decisions now happen easily, thanks to artificial intelligence (AI) and machine learning (ML). A recent study by Harvard Business Review shows that sales teams that adopt AI and machine learning are seeing: 50% increase in leads and appointments.

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Machine Learning AI Forecasting Customer Lifetime Value 84

ReSci

NOVEMBER 2, 2016

This blog takes a small dive into one of our internal monitoring tools that overlooks our entire ETL pipeline and helps us stay on top of our machine learning models. The post Automating Machine Learning Monitoring [RS Labs] appeared first on ReSci. Background: Imagine if what viral polite grandma was thinking when she was typing in her. RS Labs

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Machine Learning 40

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. This report highlights some of the most impactful benefits of MLOps tools.

Machine Learning

Tomasz Tunguz

APRIL 18, 2017

At SaaStr earlier this year, I spoke about the huge potential of machine learning in SaaS. Only by nailing the workflow will a user grant you the time and permission to wow them with machine learning. How can software improve a current workflow to such an extent that a user is willing to stop their current workflow and learn a new one? Machine learning enables startups to inject a new type of magic to their product.

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Machine Learning AI Interviewing Software 40

Tomasz Tunguz

JANUARY 17, 2019

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. Starting an AI Agency has two important benefits for machine learning companies. As they operate, AI agencies create high quality data for training machine learning models.

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Machine Learning AI Construction Software 64

Andreessen Horowitz

NOVEMBER 17, 2022

AI, machine & deep learning gaming, social, and new media Generative AI machine learningTo understand how radically gaming is about to be transformed by Generative AI, look no further than this recent Twitter post by @emmanuel_2m.

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AI Machine Learning 114

Tomasz Tunguz

JANUARY 25, 2018

In SaaS, machine learning has become an essential component to many different products. Whether it’s automating responses to inbound sales queries, identifying expense reports for audit, or surfacing anomalies in data, machine learning improves workflow software. To date, most software imbued with machine learning reduces costs rather than increase revenues. Because machine learning is focused on efficiency gains.

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Machine Learning Software Data Revenue 63

Advertiser: Data Robot

AI is becoming ubiquitous. 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. The number of critical touch points is growing exponentially with the adoption of AI. In this ebook, we explore the concept of humility in AI systems and how it can be applied to existing solutions to ensure their trustworthiness, ethicality, and reliability in a fast-changing world.

AI

Andreessen Horowitz

APRIL 5, 2019

… AI, machine & deep learning IoT (internet of things

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Machine Learning AI 44

Andreessen Horowitz

APRIL 26, 2020

… The post a16z Journal Club: Finding New Antibiotics with Machine Learning, What Coronavirus Structures Tell Us appeared first on Andreessen Horowitz. AI, machine & deep learning bio a16z Journal Club AI in practice coronavirus drug development pharma

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Machine Learning Technology AI Development 67

Andreessen Horowitz

NOVEMBER 16, 2022

AI, machine & deep learning machine learningHow generative AI makes art an extension of programming (and not the other way around).

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Machine Learning AI 99

Backlinkfy

JULY 13, 2018

Machine Learning and AI are set to assume incredibly prominent roles in the retail sector in the not so distant future. Machine Learning in Retail The retail space is undergoing a paradigm shift with innovative applications being tested out for machine learning and AI. However, machine learning systems can learn from trends and customer behavioral patterns of the past.

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Machine Learning AI Pricing Social Media 40

Advertiser: Data Robot

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

Data