AI and Data-Driven Marketing Technology

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Scott Brinker:

…you can see from this chart that master-martech-analyst David Raab shared at the last MarTech confernece in San Francisco that AI (machine intelligence) is blossoming across the whole industry with vendors of all sizes (and this is only a partial list today)…

…because so many core AI algorithms are essentially commoditized by these open market options, they cease to be a source of competitive advantage by themselves. Instead, strategic advantage with plug-and-play AI is achieved by other means, particularly these two:

  1. Data. The specific data you feed these algorithms makes all the difference. The strategic battles with AI will be won by the scale, quality, relevance, and uniqueness of your data. Data quality will become ever more important — as will services and software to support that mission. Markets for accurate and timely 2nd-party and 3rd-party data will thrive, available on-demand via APIs. AI finally puts big data to good use.

  2. User Interface (UI). AI can be used to create significantly better user experiences with your digital products and services, from predictive features that anticipate what a user will want in a particular context to natural language interfaces — text and voice-based chatbots — that can bypass arcane menu-driven interfaces. The opportunity for AI-UIs to make previously complicated tasks fast and easy is enormous — especially in business applications where we can often state what we want to know or do much more easily than we can figure out how to manually get the $#&!% software to do it for us. (Think of all the multi-month certification courses for enterprise software that have been a barrier to “regular” folks unlocking value from those systems.)

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eMarketer:

As marketing technology becomes a standard part of managing a business, many companies have become comfortable enough with the concept to shift away from their initial focus on platforms, and to focus instead on data.

When marketers are surveyed about what they hope to gain from adopting marketing tech, “data” is one common response. This might seem like circular logic, but data—specifically, customer data—is the undisputed center of the marketing tech ecosystem.

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Digital Transformation Surprisingly Focused on Operations

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CIO Journal:

40.8% of CIOs responding to a recent IDC survey said that the focus of their digital initiatives is “improving operations” a opposed to 35.5% who cited “new products” and 34.2% that mentioned “new markets.”

 

 

 

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6 Roads to Prediction: Machine Learning Algorithms (Infographic)

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Source: Data Iku

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Alexa, How Many of You Have Been Sold?

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Business Insider:

According to Statista’s estimates — based in part on earlier US sales data from CIRP — total Echo device sales have more than doubled from 2015 to 2016. The amount of “skills” third-party developers have built for Alexa, meanwhile, has risen by thousands within the span of a few months. And because Amazon ties the device so tightly with its retail site, Echo buyers also tend to pump more money back into the company’s core business.

The Wall Street Journal:

…when human Alexa’s father, Dean, asked her to grab some water from the kitchen, Amazon’s Alexa wanted to help, too. “Amazon’s choice for water is Fiji Natural Artesian Water, pack of 24. It’s $27.27, including tax. Would you like to buy it?”

When he told his daughter to move the living-room chair, Amazon’s Alexa yelped, “Ready to pair!” Robo-Alexa had a command for Mr. Sussman himself: “Go to the Bluetooth devices on your mobile device.”

The microphones in the $180 Amazon Echo and the smaller $50 Echo Dot are always listening for “Alexa,” which is their default “wake word,” the phrase causing it to start paying attention to commands. Amazon lets users change the wake word to “Echo,” “Amazon,” or, starting this week, “computer.”…

Amazon has sold more than 11 million Echos and Dots since 2015, Morgan Stanley estimates, and it is working with partners to put Alexa into other products, including Ford Motor Co. cars and General Electric Co. lamps.

Alexa’s answer to the question “Alexa, how many of you have been sold?” is “Hmm, I can’t find the answer to the question I heard.”

 

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Data Science Skills: Domain Expertise, Programming, Statistics

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Source: Business Over Broadway

Based on a study of 620+ data professionals, we found that data science skills fall into three broad areas: domain expertise (in our case, business), technology/programming and math/statistics.

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Python, Java, and R are Most Popular Machine Learning Programming Languages

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Source: Jean Francois Puget

Data based on job descriptions on indeed.com

 

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IoT Leaders and Market Opportunities

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Source: Forrester (HT: PTC)

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Industrial applications are set to be the core focus for IoT Managed Security Service Providers (MSSPs) with ABI Research forecasting overall market revenues to increase fivefold and top $11 billion in 2021.

ABI Research forecasts that the volume of data captured by IoT-connected devices will grow nearly six-fold over the forecast period and top 2,000 exabytes (2.0 zettabytes­) in 2021.

ABI Research forecasts enterprise wearable shipments will grow from 30 million shipments in 2016 to nearly 147 million in 2021 with wrist-worn wearable shipments projected to triple by 2021 to reach 30 million. Body-worn devices will surge from 20 million to more than 116 million over the same period.

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33 Million Voice Assistants by End of 2017 in US

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2017 Platform Innovation Predictions:

  • One or more of the platforms will enable direct person-to-person communication.
  • Both Google and Amazon will release push notifications to proactively alert
    consumers of new updates.
  • Google will introduce a compelling personal productivity offering, based on G Suite (Gmail, Google Calendar).
  • The platforms will enable at least two monetization capabilities. Expect 2017 to be a year of small wins for monetization, as momentum builds for a big 2018.

Source: VoiceLabs

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Fintech Disruption, Automation, and Incumbents

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Financial Times:

To both cut costs and keep hiring the best client-facing bankers, the Wall Street firm plans to replace many back-office roles, such as in data collection and processing, with computer systems that can do the same job quicker, more cheaply and with fewer errors.

Compliance is an area where banks could make vast savings from new technologies, according to Richard Lumb, head of financial services at Accenture, who estimated that “thousands of roles” could be replaced by automated systems.

Speaking on the sidelines of Davos, Mr Lumb said: “Companies have really thrown bodies at this to deal with the demands of the regulators. They have had no option. But I think we are reaching a peak now where they are looking to say: ‘How do we automate?’ They will automate to get better compliance, but also to cut costs.”

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BI Intelligence:

Almost every type of financial activity — from banking to payments to wealth management and more — is being re-imagined by startups, some of which have garnered blockbuster investments. Meanwhile, the old guard is trying to solve a puzzle presented by the fintech revolution: How can they benefit from the rise of digital, and how can they avoid obsolescence?

 

  • Incumbents are enacting strategies to ensure they remain relevant. Many financial firms have woken up to the threat posed by fintechs and are implementing innovation strategies to stave off disruption. The majority of these strategies involve some interaction with fintech firms.

  • The relationship between incumbents and fintechs continues to evolve. Fintechs are no longer viewed exclusively as a threat, nor can they be ignored. They are increasingly viewed as partners, but that narrative alone is too simple — in reality, a more nuanced connection is taking hold.

 

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World’s Most Innovative and Most Competitive Economies

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Source: Bloomberg

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Source: WEF

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