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?”

Machine Learning 249

Machine Learning AI Technology Innovation 249

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?

Machine Learning 281

Machine Learning Development Engineering User Experience 281

Intercom, Inc.

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.

Machine Learning 223

Machine Learning Interviewing Startup Retention 223

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.

Machine Learning 295

Machine Learning Healthcare SaaS AI 295

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.

Banking

Tom 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.

Machine Learning 100

Machine Learning Mobile Innovation Advertising 100

Neil Patel

DECEMBER 9, 2020

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.

Machine Learning 144

Machine Learning AI Marketing Social Media 144

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.

Machine Learning 79

Machine Learning Sales Innovation Communication 79

Tom 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.

Machine Learning 192

Machine Learning AI Startup Construction 192

Tom 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.

Machine Learning 189

Machine Learning Marketing Software Data 189

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.

Banking

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

Machine Learning 89

Machine Learning AI 89

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.

Machine Learning 66

Machine Learning Churn Retention 66

Tom 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.

Machine Learning 100

Machine Learning AI Interviewing Software 100

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.

Machine Learning 92

Machine Learning Development Scaling Data 92

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

Tom Tunguz

MARCH 11, 2013

I believe machine learning will drive the next big wave of innovation in consumer web services. But ML and deep learning have reached a point that makes it harder and harder to pull back the curtain and expose weak technology. For machine learning to create magic the the technology requires large amounts of data, the infrastructure to process the data and the algorithms to extract learning.

Machine Learning 100

Machine Learning Travel Technology Data 100

Ryan Berg

OCTOBER 16, 2018

Source 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.

Machine Learning 52

Machine Learning Churn Retention 52

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.

Machine Learning 72

Machine Learning AI Enterprise Engineering 72

Tom Tunguz

JUNE 19, 2017

With machine learning, we may see another evolution of this. Machine learning startups create models based on data provided by customers. Unlike the first wave of SaaS software, machine learning startups benefit from the data their customers share with them. Many times, machine learning startups create one global machine learning model that is used across the customer base.

Machine Learning 149

Machine Learning Advertising Data Compensation 149

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

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.

Machine Learning 64

Machine Learning AI Cloud Engineering 64

Tom Tunguz

APRIL 4, 2017

Machine learning SaaS startups face another trust risk – one introduced by probability. Many machine learning systems also rely on probability. A programmer encodes a threshold into machine learning models. Machine learning SaaS companies must find equilibrium on this Goldilocks slackline. Not too strict, not too lenient of a machine learning system.

Machine Learning 100

Machine Learning Software Management Forecasting 100

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.

Machine Learning 100

Machine Learning Strategy AI Cloud 100

Tom Tunguz

MAY 29, 2017

It’s one of undoubtedly many technologies which will use one machine learning model to detect another machine learning model. But I’m hopeful that many machine learning startups who develop novel technologies will also adopt ethics statements.

Machine Learning 100

Machine Learning Startup AI Technology 100

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

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).

Machine Learning 52

Machine Learning AI Cloud Education 52

Treehouse Technology Group

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.

Machine Learning 52

Machine Learning Technology AI Data 52

Treehouse Technology Group

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.

Machine Learning 52

Machine Learning Technology AI Data 52

Tom Tunguz

JUNE 9, 2016

Which are the ripest areas for startups to disrupt using machine learning? At the core, machine learning/artificial intelligence relies on two key ingredients: advanced algorithms and data sets to train those algorithms. Consequently, proprietary data sources that are essential to train next-generation machine learning models are easier to amass in enterprise rather than consumer.

Machine Learning 100

Machine Learning B2C Startup Enterprise 100

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

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.

Machine Learning 40

Machine Learning Finance compliance Banking 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.

Machine Learning 100

Machine Learning Scale AI Forecasting 100

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

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

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

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.

Machine Learning 40

Machine Learning AI Pricing Social Media 40

Intercom, Inc.

DECEMBER 9, 2022

In a recent episode, our Director of Machine Learning, Fergal Reid , shed some light on the latest breakthroughs in neural network technology. OpenAI released their most recent machine learning system, AI system, and they released it very publicly, and it was ChatGPT.

Machine Learning 279

Machine Learning AI Customer Support Banking 279

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