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 156

Machine Learning Forecasting Benchmarks AI 156

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 278

Machine Learning Healthcare SaaS AI 278

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 85

Machine Learning AI 85

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 102

Machine Learning AI Marketing Data 102

Advertiser: Data Robot

How are organizations using machine learning and artificial intelligence (AI) to derive business value? Renowned author and professor Tom Davenport explains the rise of automated machine learning, its benefits, and success stories from businesses that are already using it.

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?

Machine Learning 95

Machine Learning Development User Experience Technology 95

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.

Machine Learning 87

Machine Learning Interviewing Retention Customer Support 87

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 101

Machine Learning AI Forecasting Customer Lifetime Value 101

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.

Machine Learning 52

Machine Learning AI Data Business 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.

Machine Learning 52

Machine Learning AI Data 52

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

APRIL 5, 2019

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

Machine Learning 61

Machine Learning AI 61

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.

Machine Learning 40

Machine Learning Enterprise Management 40

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

Machine Learning 78

Machine Learning Technology AI Development 78

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 AI Cloud Trends 100

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

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.

Machine Learning 40

Machine Learning Innovation Mobile Advertising 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).

Machine Learning 52

Machine Learning AI Cloud Education 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.

Machine Learning 40

Machine Learning Finance Banking AI 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

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). 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

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 42

Machine Learning Churn Retention 42

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

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.

Machine Learning 40

Machine Learning Subscription Retention Business Model 40

Andreessen Horowitz

JUNE 19, 2019

How have we gotten to this point with machine learning? In this episode of the a16z podcast, a16z Operating Partner Frank Chen asks these (and many other questions) to one of the OG researchers and … AI, machine & deep learningAnd where are we going?

Machine Learning 59

Machine Learning AI 59

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.

Machine Learning 65

Machine Learning AI Construction Software 65

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

Machine Learning 40

Machine Learning 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

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.

Machine Learning 40

Machine Learning AI Interviewing Software 40

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.

Machine Learning 64

Machine Learning Software Revenue Data 64

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

wepay

JULY 23, 2015

At WePay, it increasingly also means machine learning models which can spot complicated fraud patterns faster with less human intervention. This is something we talked a bit about a few months ago, in a blog post about machine learning and shell selling. Today, we’re looking at another challenge we face as we use machine learning to fight fraud in the real world: adapting our models quickly enough to keep up with the attacks we face.

Machine Learning 40

Machine Learning Engineering Data Banking 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

Tomasz 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.

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Machine Learning Advertising Data Compensation 62

Tomasz 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 40

Machine Learning Travel Technology Data 40

ReSci

AUGUST 11, 2016

At Retention Science, we are committed on making machine learning and artificial intelligence more accessible and understandable. The post Evaluating Machine Learning Predictions: Customer Churn & CLV [RS Labs] appeared first on ReSci. This blog introduces our process of evaluating the accuracy of two crucial predictive models, Customer Churn Prediction and Customer Future Value (CFV). These two predictions provide invaluable insights.

Machine Learning 40

Machine Learning Retention Churn 40

Tomasz 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 40

Machine Learning Forecasting Software Management 40

Advertiser: Data Robot

This report explores why it is so challenging to choose an AI vendor and what you should consider as you seek a partner in AI.

AI