Google Goes Corporate at Google Next

There’s no doubt that Google exists to make money. They make money by getting companies to buy their services. When it comes to selling ads on search engines, Google is number one. When it comes to their cloud business, Google is… well, number three.

I’m guessing that irks them a bit especially since they sit behind a company whose main business is selling whatever stuff people want to sell and a company that made its name in the first wave of PCs. Basically, a department store and a dinosaur are beating them at what should be their game.
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CES 2019 Ramifications for Enterprise IT

Vendors and Organizations Mentioned: IBM, Ose, WindRiver, Velodyne, UV Partners, TDK Corporation, Chirp Microsystems, Qualcomm, Intel, Zigbee Alliance, Thread Group, Impossible Foods The CES (Consumer Electronics Show) is traditionally known as the center of consumer technology. Run by the CTA (Consumer Technology Association) in Las Vegas, this show brings out enormous volumes of new technology…

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Data Science and Machine Learning News, November 2018

On a monthly basis, I will be rounding up key news associated with the Data Science Platforms space for Amalgam Insights. Companies covered will include: Alteryx, Amazon, Anaconda, Cambridge Semantics, Cloudera, Databricks, Dataiku, DataRobot, Datawatch, DominoElastic, H2O.ai, IBM, Immuta, Informatica, KNIME, MathWorks, Microsoft, Oracle, Paxata, RapidMiner, SAP, SAS, SnapLogic, Tableau, Talend, Teradata, TIBCO, Trifacta, TROVE.

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Artificial Intelligence/Machine Learning (AI/ML) and Learning Systems in the Brain

Simulating Learning Processes in the Brain With AI/ML

Key Stakeholders: Chief Learning Officers, Chief Human Resource Officers, Learning and Development Directors and Managers, Corporate Trainers, Content and Learning Product Managers.

Why It Matters: The skills necessary for success in the corporate world are varied and include hard skills, people skills and situational awareness. While L&D is embracing the use of AI/ML to analyze learners’ data and to personalize learning paths, curate effective content, and attempt to better engage learners, what L&D has failed to embrace is the application of AI/ML to model each of these distinct learning systems, and their interactions.

Top Takeaway: Corporate learning vendors would be well served to develop AI/ML models that capture the processing characteristics of the three learning systems in the brain known to mediate hard skills, soft skills, and situational awareness learning. A comprehensive AI/ML model that captured the processing characteristics of each of these three distinct learning systems could be used to develop and test products and tools that optimize content curation, learning paths, engagement, and delivery processes that will differ substantially across systems and tasks to be learned.

Vendors with the Skillset and Expertise to Build this AI/ML Tool: Cornerstone, CrossKnowledge, IBM, Infor, LTG, Oracle, Saba, Salesforce, SAP, Workday, and likely many others.

Artificial Intelligence/Machine Learning and L&D

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Todd Maddox Ph.D.’s Top Four Scientific Observations on DevLearn 2018

If you have a passion for learning then DevLearn is for you. DevLearn 2018 was quite the event. With excellent keynote addresses, breakout sessions, numerous vendors and great demos it was action-packed. I enjoyed every minute of DevLearn 2018 and I am already looking forward to 2019.

I took a few days to gather my notes and thoughts, and I have a number of observations on DevLearn 2018. I am sure that others who attended DevLearn 2018 will highlight different topics, and acknowledging that I was only able to speak in detail with a dozen or so vendors, here are my Top Four Scientific Observations.

Whether Talent, Behavioral or Data……The Impact of Science Continues to Grow

Relevant Vendors That I Spoke With: Adobe, Allego, EdCast, Inkling, iSpring, Learning Tribes, LEO Learning, MPS Interactive, Mursion, OttoLearn, Rehearsal, Schoox, STRIVR, Valamis

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Why It Matters that IBM Announced Trust and Transparency Capabilities for AI


Note: This blog is a followup to Amalgam Insights’ visit to the “Change the Game” event held by IBM in New York City.

On September 19th, IBM announced its launch of a portfolio of AI trust and transparency capabilities. This announcement got Amalgam Insight’s attention because of IBM’s relevance and focus in the enterprise AI market throughout this decade.  To understand why IBM’s specific launch matters, take a step back in considering IBM’s considerable role in building out the current state of the enterprise AI market.

IBM AI in Context

Since IBM’s public launch of IBM Watson on Jeopardy! in 2011, IBM has been a market leader in enterprise artificial intelligence and spent billions of dollars in establishing both IBM Watson and AI. This has been a challenging path to travel as IBM has had to balance this market-leading innovation with the financial demands of supporting a company that brought in $107 billion in revenue in 2011 and has since seen this number shrink by almost 30%.

In addition, IBM had to balance its role as an enterprise technology company focused on the world’s largest workloads and IT challenges with launching an emerging product better suited for highly innovative startups and experimental enterprises. And IBM also faced the “cloudification” of enterprise IT in general, where the traditional top-down purchase of multi-million dollar IT portfolios is being replaced by piecemeal and business-driven purchases and consumption of best-in-breed technologies.

Seven years later, the jury is still out on how AI will ultimately end up transforming enterprises. What we do know is that a variety of branches of AI are emerging, including

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Data Science Platforms News Roundup, July 2018

On a monthly basis, I will be rounding up key news associated with the Data Science Platforms space for Amalgam Insights. Companies covered will include: Alteryx, Anaconda, Cloudera, Databricks, Dataiku, DataRobotDatawatch, Domino, H2O.ai, IBM, Immuta, Informatica, KNIME, MathWorks, Microsoft, Oracle, Paxata, RapidMiner, SAP, SAS, Tableau, Talend, Teradata, TIBCO, Trifacta.

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4 Key Business & Enterprise Recommendations for Google Duplex

This week, everybody is talking about Google Duplex, announced earlier this week at Google I/O. Based on previous interactions with IVRs from calling vendors for customer support, Duplex is an impressive leap forward in natural language AI, and offers future hope at making some clerical tasks easier to complete. Duplex will be tested further by a limited number of users in Google Assistant this summer, refining its ability to complete specific tasks: getting holiday hours for a business, making restaurant reservations, and scheduling appointments specifically at a hair salon.

So what does this mean for most businesses?

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MindBridge AI Opens Up The Audit with Natural Language Processing and Integrations with NetSuite and Intacct

Note: this blog consists of excerpts of the Market Milestone written on this topic. For the full report, go to our Research section

On February 21, 2018, MindBridge Ai announced updates to its Ai Auditor platform, which is designed to analyze financial data with machine learning and artificial intelligence tools for financial audits. These updates include

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With myEinstein, Salesforce Embraces that “AI is the New UI”

Astro, Einstein, and other Salesforce Trailhead characters
Salesforce Einstein Airplane - Courtesy of Salesforce
Salesforce Einstein Airplane – Courtesy of Salesforce

Key Takeaway: Amalgam believes that the go-live date of myEinstein will be the most important date for Enterprise AI in 2018 as it represents the day that AI will become practical and available to a broad business audience across industries, verticals, company sizes, and geographies.

On November 6, 2017, Salesforce [NYSE:CRM] announced the launch of myEinstein: services based on Salesforce’s Einstein machine learning platform to support point-and-click-based and codeless AI app development. This announcement was one of several new services that Salesforce built across platform (mySalesforce and myIoT), training (myTrailhead), and user interface development (myLightning).

myEinstein consists of two services:

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