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Mobile Solutions Launches New Robotic Process Automation Capabilities

[Edited July 25th to reflect Mobile Solutions’ current public-facing offerings]

Key Takeaway: Mobile Solutions is providing Robotic Process Automation for Managed Mobility Services with a focus on mid-market enterprises and organizations. This capability provides Mobile Solutions with a starting point for handling basic service orders.

On July 10th, Mobile Solutions announced the launch of two Robotic Process Automation  (RPA) assistants named Maxine and Maximus Brain that are assisting with service orders entered into Mobile Solutions’ mobility management platform, MAX.

Maxine serves as Continue reading Mobile Solutions Launches New Robotic Process Automation Capabilities

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Understanding Microsoft’s Investment in OpenAI

On July 22, Microsoft announced a $1 billion investment in OpenAI, a lab focused on “artificial general intelligence,” or the goal of creating artificial intelligence with human-like observation and learning capabilities. With this announcement,  Microsoft becomes the “exclusive” cloud computing provider for OpenAI and will have access to productizing OpenAI capabilities as they come to market.

Key Takeaways: Microsoft makes a long-term investment in “general intelligence” to start on the next generation of AIs that will be coming to market in five-to-ten years and will be able to recoup some costs back as OpenAI’s cloud provider and monetizer of OpenAI technologies.

Continue reading Understanding Microsoft’s Investment in OpenAI

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The Neuroscience of Effective Sales Coaching

It’s About the How, Not the What

As any sales manager will tell you, one of the most challenging aspects of his or her job is sales coaching. It is one thing for your sales professionals to have a cognitive understanding of what to say during a pitch – the words to use, the appropriate script, what body language to display and which tactics to utilize when handling objections or other nuanced situations.

It is another thing (and mediated by completely different systems in the brain) for your sales professionals to have the people skills, the intuition if you will, to know how to deliver the pitch, how to display the appropriate body language, and how to handle a broad range of situations. Although a cognitive understanding – an understanding of the “what” – is useful, it is people skills – the “how” – that closes the deal. Continue reading The Neuroscience of Effective Sales Coaching

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Why Infor’s Talent Science Solution Enhances Recruitment and Retention of Top-Performers: A Psychological and Neuroscience Evaluation Overview

Amalgam Insights recently attended Infor’s Innovation Summit in New York City. Senior executives outlined a number of innovations being incorporated into Infor’s suite of products, including ERP, Supply Chain, CRM, and others. In addition to the growing influence of the Cloud, Coleman AI and Birst analytics – an impressive array of broad-based solutions was described.

In my role as a Psychological and Neuroscience Analyst at Amalgam Insights, my focus is on Infor’s Human Capital Management (HCM) solution. I have followed the solution for quite some time, with a particular interest in Infor’s Talent Science product. Dr. Jill Strange, Vice President, HCM Science Applications, provided an update, and Tricia Engel, Director of Talent Acquisition at Wyndham Destinations, outlined a specific use case and customer success story.

Infor’s Talent Science Solution

Infor’s Talent Science solution uses talent assessment and analytics to address the recruiting needs of the modern workplace. A one-size-fits-all approaches to recruitment leads to weak employee performance and engagement, poor job satisfaction and high turnover rates. What is needed are approaches that blend psychology and data science to more accurately assess, place, and retain high-performing talent. Talent Science—that combination of psychology and data science–can achieve these aims, and when incorporated into HCM platforms, can offer insights that are actionable and can increase engagement, performance, satisfaction, and retention.

Infor’s Talent Science team works with the client to identify and quantify the Key Performance Indicators (KPIs) associated with success in a particular job. Incumbent employees are administered a single, standardized assessment tool that yields a custom performance profile that captures cognitive, behavioral, and cultural components of the employee in the workplace. Infor’s Talent Science team then builds models that predict the KPIs for incumbent employees from their custom performance profiles. New job applicants are administered the same talent assessment tool, a custom performance profile is constructed for each, and a measure of “fit” is derived that reflects the overlap between the candidate’s performance profile and the ideal profile for the relevant job. Interestingly, but not surprisingly, in many cases the applicant is found to be a better fit for a job that they did not apply for, but for which the company has a need.

The Psychology and Neuroscience of Workplace Performance

Workplace performance is directly affected by the psychological and brain processing of the employee. Thus, it is important to understand the nature of this processing. The brain is comprised of at least three learning and performance systems. These include the cognitive, behavioral and cultural/emotional systems in the brain (as outlined in the schematic below).

  • The cognitive system relies on the prefrontal cortex, is limited by working memory and attentional processes, and is the primary system in the brain that drives workplace performance centered around utilizing information and fact-based knowledge. These are often referred to as hard skills.
  • The behavioral system relies on the striatum and is the primary system in the brain that drives workplace behaviors. The detailed processing characteristics of this system are beyond the scope of this report, but suffice it to say that workplace behavior is distinct from cognition and information. It is one thing to know “what” to do or to have information and knowledge, it is another thing (and driven by a different system in the brain) to know “how” to do it and to act appropriately on information and knowledge. These behavioral skills are often referred to as “soft skills”, and they are difficult to assess.
  • The cultural/emotional system relies on the amygdala and other limbic structures and is the primary driver of what makes each of us unique. Social, emotional and personality characteristics are directly relevant here. The detailed processing characteristics of this system are less well understood than the cognitive and behavioral skills learning systems, but cultural and emotional processes strongly affect both cognitive and behavioral performance.

Figure: Cognitive, Behavioral and Cultural/Emotional Systems in the Brain

Infor’s Talent Science Performance Profiles Align with the Psychology and Neuroscience of Workplace Performance

Infor’s talent assessment tool yields a custom performance profile for each individual that characterizes and quantifies their performance along these three factors. Therefore, the solution quantifies hard and soft skills abilities, as well as cultural/emotional abilities, all of which directly affect workplace performance. This is advantageous from a Human Capital Management perspective because it means that Infor’s solution has the potential to provide actionable insights about all of the important aspects of an employee’s performance through the full employee lifecycle from hire to retire. These insights could provide employers with the information that they need to increase employee performance, engagement, satisfaction, and retention – the goal of HR departments everywhere.

Conclusions and Recommendations

Infor’s Talent Science solution uses talent assessment and analytics to drive change through behavioral analysis. It is grounded in the psychology and neuroscience of learning and performance. Thirty years of foundational research suggests that this is the optimal approach to net long-term gains.

By capturing and quantifying the talent profile associated with each workforce position, Infor provides its clients with the ability to make fast and accurate hiring decisions and increase the long term success of any new hire.

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IBM and Cloudera Join Forces to Expand Data Science Access

On June 21, IBM and Cloudera jointly announced that they were expanding their existing relationship to bring more advanced data science solutions to Hadoop users by developing a shared go-to-market program. IBM will now resell Cloudera Enterprise Data Hub and Cloudera DataFlow, while Cloudera will resell IBM Watson Studio and IBM BigSQL.

In bulking up their joint go-to-market programs, IBM and Cloudera are reaffirming their pre-existing partnership to amplify each others’ capabilities, particularly in heavy data workflows. Cloudera Hadoop is a common enterprise data source, but Cloudera’s existing base of data science users is small despite the growing demand for data science options, and their Data Science Workbench is coder-centric. Being able to offer the more user-friendly IBM Watson Studio to its customers gives Cloudera’s existing data customers a convenient option for doing data science without necessarily needing to know Python or R or Scala. IBM can now sell Watson Studio, BigSQL, and IBM consulting and services into Cloudera customers more deeply; it broadens their ability to upsell additional offerings.

Because IBM and Cloudera each hold significant amounts of on-prem data, It’s interesting to look at this partnership in terms of the 800-pound gorilla of cloud data: AWS. IBM, Cloudera, and Amazon are all leaders when it comes to the sheer amount of data each holds. But Amazon is the biggest cloud provider on the planet; it holds the plurality of the cloud hosting market, and most of IBM and Cloudera’s customers’ data is on-prem. Because that data is hosted on-prem, it’s data Amazon doesn’t have access to; IBM and Cloudera are teaming up to sell their own data science and machine learning capabilities on that on-prem data where there may be security or policy reasons to keep it out of the cloud.

A key differentiator in comparing AWS with the IBM-Cloudera partnership lies in AWS’ breadth of machine learning offerings. In addition to having a general-purpose data science and machine learning platform in SageMaker, AWS also offers task-specific tools like Amazon Personalize and Textract that address precise use cases for a number of Amazon customers who don’t need a full-blown data science platform. IBM has some APIs for visual recognition, natural language classification, and decision optimization, but AWS has developed their own APIs into higher-level services. Cloudera customers building custom machine learning models may find that IBM’s Watson Studio suits their needs. However, IBM lacks the variety of off-the-shelf machine learning applications that AWS provides. IBM supplies their machine learning capabilities as individual APIs that an application development team will need to fit together to create their own in-house apps.

Recommendations

  • For Cloudera customers looking to do broad data science, IBM Watson Studio is now an option. This offers Cloudera customers an alternative to Data Science Workbench; in particular, an option that has a more visual interface, with more drag-and-drop capabilities and some level of automation, rather than a more code-centric environment.
  • IBM customers can now choose Cloudera Enterprise Data Hub for Hadoop. IBM and Hortonworks had a long-term partnership; IBM supporting and cross-selling Enterprise Data Hub demonstrates that IBM will continue to sell enterprise Hadoop in some flavor.
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The Second Half of 2019 Has Already Begun! Amalgam Insights Highlights

We’ve reached July 1, 2019. It has been an amazing first half of the year both for Amalgam Insights and the tech world in general! From our perspective, it has been a good half as we’ve written 53 blogs, published 13 reports, and grown bookings 66% over the second half of 2018. Special Thanks to our corporate clients for your financial support that allows us to continue being a voice for changing the future of technology.:

And this gives you an idea of the companies that align with our perspective of technology being more global, usable, efficient, and financially sustainable in the here and now.

It is easy to be overwhelmed by the sheer hype of tech news cycles, but the past few months have been part of a fundamental shift in the world of IT that seems to happen once a decade. However, our audience has shown broad interest in topics across data management, cloud management, the future of finance, the neuroscience of learning, and enterprise-grade data science over the last six months. Heres a quick summary of the topics that Amalgam’s audience found most compelling in the first half of this year.

Amalgam Insights’ Top 10 for the First Half of 2019

  1. The Death of Big Data and the Emergence of the Multi-Cloud Era – Author: Hyoun Park

    Just as we saw the emergence of the Internet as a powerful business enabler around 2000 and saw the rise of Big Data and Analytics in 2010, we now face the emergence of Multi-cloud replacing CapEx as a fundamental basis for tech this year as we enter the 2020s.Based on that, it was no surprise that The Death of Big Data and the Emergence of the Multi-Cloud Era has been the most popular piece on Amalgam Insights in the first half of 2019.

  2. Docker Enterprise 3.0 is the Docker We’ve Been Waiting For – Author: Tom Petrocelli

    DevOps Research Fellow Tom Petrocelli describes in this research piece how Docker has been moving away from the commodity business of container infrastructure and reinventing itself as a developer tools company. It provides context to the DevOps community on why Docker 3.0 addresses one of the largest problems in DevOps, today.

  3. Microsoft “Early Adopts” New ASC 606 Revenue Recognition Standard – Author: Hyoun Park

    This piece continues to provide guidance to companies on how businesses prepared for ASC 606 accounting and has been a starting point for some of you to ask us about the likes of Zuora, Aria, Oracle BRM, SAP Hybris Billing, Sage Intacct, FinancialForce, Flexera Software Monetization Platform, Gemalto On-Demand Subscription Manager, and other subscription business platforms.

  4. Analyst Insight: 7 Key Technology Expense Management Predictions for 2019 – Author: Hyoun Park

    This report, published at the beginning of this year, provides7 predictions to help financially-minded technology managers gain 30% savings on operational cloud, network, and telecom expenses while gaining the visibility and governance needed to responsibly manage digital change and technology as a competitive advantage. This report, which comes with free analyst inquiry time, served as a strategic kickstart for enterprise IT and procurement teams in 2019.

  5. Technical Guide: A Service Mesh Primer – Author: Author: Tom Petrocelli 

    This groundbreaking Amalgam Insights Technical Guide on the Service Mesh provides enterprise architects, CTOs, and developer teams with the guidance they need to understand the microservices architecture, service mesh architecture, and OSI model context necessary to conceptualize Service Mesh.

  6. 2019 Top 6 Trends in Learning & Development and Talent Management – Author: W. Todd Maddox Ph.D. 

    Our resident Neuroscientist of Technology, Todd Maddox, provided Chief Learning Officers and enterprise training organizations with a headstart to 2019 with this overview of the six major trends that Amalgam Insights’ research suggests will dominate the Learning & Development and Talent Management landscape including: the Impact of Psychology and Brain Science, AI and machine learning as innovation drivers, the Emphasis on Empathy, the need for Scenario-enhanced Microlearning, best practices for using immersive and augmented reality, and the Power of Personality.

  7. SmartList Market Guide on Service Mesh and Building Out Microservices Networking – Author: Tom Petrocelli

    This piece, a companion to the Technical Guide for Service Mesh, is a comprehensive guide to the roles that top technology vendors play in the world of microservices and service mesh in 2019 including their roles in Istio vs. Linkerd, modern microservice architecture considerations, and the three segments of the service mesh market: Control Plane, Data Plane, and Value-Add.

  8. Amazon Aurora Serverless vs. Oracle Autonomous Database: A Microcosm for The Future of IT – Author: Hyoun Park

    This research document continues to provide guidance on the fundamental decision that IT departments need to choose in the world of cloud. Ease-of-Use vs. Granular Management continues to be a key IT struggle as the need for business agility creates conflict between the need for speed of implementation and management vs. the demand for individualized and customized business model construction.

  9. Amazon Expands Toolkit of Machine Learning Services at AWS re:Invent – Author: Lynne Baer

    The interest for data science and machine learning analyst Lynne Baer’s piece on Amazon re:Invent was driven by the interest in Amazon Textract, a service that extracts text and data from scanned documents, without requiring manual data entry or custom code. The promise of Textract in providing Role-based Expert Enhancement by automating manual work continues to be of interest for our enterprise IT audience.

  10. The CLAIRE-ion Call at Informatica World 2019: AI Needs Managed Data and Data Management Needs AI – Author: Lynne BaerThis research note reflects the synergy between modern data management strategies and evolution of artificial intelligence and Amalgam Insights’ recommendations for the data managers, executives, and enterprises in the Informatica ecosystem trying to figure out what to do next in preparing for the exponentially expanding challenge of billions of daily interactions, billions of daily searches, billions of devices and sensors – combined with a shortage of over 800,000 data science professionals.

As you prepare for the second half of 2019, please keep a look out for our upcoming research and review any of our top pieces that have been influencing technology decisions for our subscribers and advisory clients over the first part of 2019. If you are seeking guidance on the Finance of Tech, the Neuroscience of Tech, or the current state of ITOps and DevOps, please send us a note at info@amalgaminsights.com to set up a discussion. We look forward to supporting a better future for managing technology with you.