6 Roads to Prediction: Machine Learning Algorithms (Infographic)

machinelearning_top-prediction-algorithms

Source: Data Iku

Posted in Artificial Intelligence, Machine Learning, Misc | Leave a comment

Alexa, How Many of You Have Been Sold?

bi_alexa

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.”

 

Posted in Chatbots | Leave a comment

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

MachineLearning_Languages.png

Source: Jean Francois Puget

Data based on job descriptions on indeed.com

 

Posted in Machine Learning | Leave a comment

Data Science Skills: Domain Expertise, Programming, Statistics

BOB_dsfa_animation.gif

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.

Posted in Data Science, Misc | Tagged | Leave a comment

IoT Leaders and Market Opportunities

iot_forresterwave

Source: Forrester (HT: PTC)

iot_oppt_abi

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.

Posted in Internet of Things | Tagged | Leave a comment

33 Million Voice Assistants by End of 2017 in US

voice_footprint

voice_alexause

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

Posted in Misc | Tagged | Leave a comment

Fintech Disruption, Automation, and Incumbents

fintech_funding_accenture

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.”

BI_fintech ecosystem.png

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.

 

Posted in Misc | Tagged , | Leave a comment

World’s Most Innovative and Most Competitive Economies

Innovative_economies.png

InnovativeEconomies_index.png

Source: Bloomberg

//widgets.weforum.org/global-competitiveness-report-2016/

Competitive Economies.jpg

Source: WEF

Posted in Misc | Tagged , | Leave a comment

2017 Tech Investment Priorities

IDG-2017TechPriorities.jpg

IDG:

In 2017, IT leaders will be increasing investments in numerous applications and platforms with business intelligence & analytics (71%), securing enterprise information assets (59%), CRMs (47%) and mobile enterprise apps (46%) leading the pack. Additionally, tech leaders shared their focus on specific technology initiatives across more than a dozen areas, including the stage of adoption each technology falls into at their organization. Growth areas that CIOs are researching include Artificial Intelligence (AI), Internet of Things (IoT) and machine learning/cognitive systems. Top areas which have moved from initial adoption to upgrading include business continuity/disaster recovery, data management/storage and co-location services.

Posted in Misc | Tagged | Leave a comment

In Praise of Automation

MGI-Productivity-exhibit.gif

The McKinsey Global Institute:

The automation of activities can enable businesses to improve performance by reducing errors and improving quality and speed, and in some cases achieving outcomes that go beyond human capabilities. Automation also contributes to productivity, as it has done historically. At a time of lackluster productivity growth, this would give a needed boost to economic growth and prosperity. It would also help offset the impact of a declining share of the working-age population in many countries. Based on our scenario modeling, we estimate automation could raise productivity growth globally by 0.8 to 1.4 percent annually.

[youtube https://www.youtube.com/watch?v=lgCY8_oe2V4]

Posted in Misc | Tagged | Leave a comment