Results

Event Report: IPsoft Digital Workforce Summit 2018

Event Report: IPsoft Digital Workforce Summit 2018

Summary

  • Digital Workforce Summit On June 7 IPsoft held their annual customer event in NYC, where they showcased the newest features of their digital assistant, Amelia.
  • Amelia is a software platform that uses artificial intelligence to create human-like interactions for helpdesk/support experience, both with employees and customers. People usually interact with Amelia via a chat user-interface, where they enter queries and Amelia responds. What makes Amelia different than just a “Q&A chatbot” is that Amelia can understand the context of the conversation, the sentiment and even the history of the interactions making it a much more natural (and useful) conversation.
  • Amelia Marketplace: Provides Amelia training skills "out of the box" in areas like banking, healthcare and insurance.
  • Amelia City:  Opening of IPsoft’s highly interactive customer briefing centre (at their NYC HQ) that showcases Amelia’s features and use-cases.
  • 1DESK: IPsoft's new platform that bridges front-office (UI) experience with back-end (ITSM) services

We’ve all been there. An application stops working, wifi goes down, you forget a password, or you need an answer to a business process like when to enroll for benefits. Raise your hand if you loved the experience you had looking up the solution or dealing with customer service agents. I’ll wait. No hands up? I didn’t think so. The current breed of support tools are usually frustrating and challenging. Does anyone actually like using those automated phone systems? Push 1, 3, *, 7 if you do or 2, #, 5 if you don’t. How about many searching through help documentation or an FAQ for answers? You get my point.

So how do we solve these challenges? How do we get the accuracy and understanding that a human can provide, while still getting the speed, scalability and ease of use of digital solutions? 

On June 7th I travelled to New York to attend IPsoft’s Digital Workforce Summit where they were discussing their vision of how support should work. Notice the event was called “Digital Workforce” not “Digital Workplace” (a very common term these days) because IPsoft develops solutions which they refer to as digital or cognitive assistants. These new “digital coworkers” are quickly becoming part of the workforce, as they help augment the capabilities of internet help desks and customer support call centres and websites.

 

Who is IPsoft?

IPsoft is a privately owned company, headquartered in New York City, founded in 1998. With over 2500 employees and offices in 13 countries, the company developers solutions for automating and managing IT and business solutions.

Below is an image of their product portfolio:

More Than A Chatbot, Meet Amelia

I imagine most of you reading this have at some point interacted with the growing number of “digital assistants” such as Apple Siri, Google Assistant, Microsoft Cortana or Amazon Alexa. These tools can perform a variety of actions from answering questions, to setting alarms, to interacting with appliances and lighting. But have you used such a tool at work? Vendors such as IPsoft and its competitors are hoping that as our trust and comfort with these digital assistants improves, their usage will become as common as using an ATM for doing your banking.

Amelia is more than just a chatbot or a tool that responds to a simple question by searching for the most relevant answer. IPsoft has spent more than 15 years creating a digital model that mimics many of the ways the human brain works. Amelia’s “brain” (a deeper discussion of artificial intelligence is outside the scope of this article) uses several different elements to determine how to respond to people. These include:

  1. Semantic Memory - this is where knowledge is stored
  2. Process Memory - this is where business processes and workflows are stored
  3. Analytical Memory - predictive models for next best actions and constant refinement for accuracy
  4. Episodic Memory - this is where past experiences are stored
  5. Affective Memory - empathy and contextual understanding

MyPOV

Think of the first three as the understanding of your business’s workflows. For example, if an employee asks how to enrol for healthcare benefits, Amelia will process the information she’s been trained on about healthcare providers, deadlines, common questions, etc. and formulate an answer.  Where things get really interesting are the last two facets: experiences and empathy. Rather than just providing a generic answer, Amelia can leverage a personalized history of interactions (ex: Alan, last year you enrolled for plan A) and understand the sentiment of the question. (ex: Alan, I see you’ve submitted two claims for chiropractic work, I hope your back is feeling better) By combining these five elements, Amelia becomes more than just a “static chatbot” which gathers input and performs and query into knowledge bases to provide a generic response. This elevates Amelia beyond just 1:1 question and answer, and enables employees and customers to have more detailed conversations, ones that can become more granular, or even branch into a different direction from the original questions. 

At the Digital Workforce Summit, IPsoft demonstrated two use-cases that impressed me. The first started off as a pretty standard internal helpdesk situation, where an employee had a question about vacation benefits. However, after answering a few questions Amelia then proactively asked the person of they would like to schedule paid time off, much like a real person may do when having this conversation.

The second demonstration was around customer engagement. It highlighted how Amelia can be used to help a customer find products while shopping online. Amelia is able to guide people through the buying process, asking them questions about things like size, style, colour, availability, etc. ideally leading to a more a successful “surf to sale” (ok quote to cash) experience. 

Augmented Assistance Requires Industry Expertise 

While there are several platforms that software developers can use to add artificial intelligence or machine learning into their applications/chatbots, for the most part they don’t provide the knowledge that is needed to train them to work in specific industries. Think of it like hiring a new employee who while skilled in their area, does not actually know anything specific about your company’s products, rules, policies, workflows, etc. You have to invest a lot of time and money training them after they are hired. Digital assistants are similar in that they are only as good as what they have been trained on and what they’ve experienced and learned from. The cost and complexity of training these digital assistants are two of the challenges that early adopters have faced. At the Digital Workforce Summit, IPsoft announced they intend to reduce these issues by providing 16 pre-trained roles for Amelia with more than 140 skills, via a new industry marketplace.

Here is a sample of the skills that IPsoft will be making available to customers using Amelia:

Industry Role Skills
Banking
  • Credit Card Concierge
  • Personal Teller
  • Financial Advisor
  • Mortgage Agent
  • Payments, lost/stolen cards, travel alerts, reward programs
  • Balances, ordering checks, helping transfers
  • Investing services
  • Approvals, balances, interest calculations
Insurance
  • Automotive Agent
  • Property Rental
  • Life Insurance
  • Policy quotes, payments, accident claims
  • Coverage queries, claim processing
  • Variable vs universal life, coverage and rider queries
Healthcare
  • Insurance Benefits
  • Care Concierge
  • Coverage, plans enrolments
  • Booking appointments, refilling prescriptions


Automating ITSM with IPsoft 1Desk

One of the big announcements at the Digital Workforce summit was the launch of IPsoft 1Desk, which they describe as the “convergence of front and back-office functions into a single autonomic framework."

What this means is that automated support for employees can go beyond just “Q&A type chat conversations" with Amelia, they can now result in actions being taken to resolve the issues. For example, if an employee asks questions about wi-fi or email issues, once Amelia determines what the problem is, it can attempt to take corrective actions automatically, or at least step people through the actions they need to take, including showing screenshots or visual guides. 

Building Trust, Understanding and Administration 

While speaking with customers at the summit, it became clear that while they are very interested in the features that Amelia provides, one of the hurdles is in understanding the administration of “digital agents.” As with any nascent technology, companies need to know what new skills they are going to require from their IT staff, their support staff, their developers and their employees (“users”). For example, several customers told me they desire detailed analytics around what’s happening (what type of questions are being asked), what’s working well (which have high-resolution rates or times) and which processes need to be improved (where is automated response failing, what’s frustrating users, etc). 

Augment, not Annihilate. Enhance not Eliminate

Any time you speak to someone about AI or automation these days, the same question always comes up… “What impact will this have on my headcount?" While it is impossible for me to give a generic answer without learning the specifics of each company, I still find it important to emphasize that solutions like Amelia are not intended to replace humans, but rather augment their ability to get their jobs done "better". Better could mean faster, more accurately, higher volume, better satisfaction, more creatively, or a host of other improvements.

Conclusion: Business not Buzzwords

One of the challenges for IPsoft and its competitors is establishing what market “digital assistants” are part of. Is it RPA? Is it IT Service/Support? Is it Customer Experience? Accurately and simply explaining to customers what problems IPsoft can solve is critical. IPsoft is doing a very good job at focusing on the “business” of automation, rather than the technology. Chief Marketing Officer Anurag Harsh gave an excellent opening keynote, where he focused mainly on “what Amelia can do” and not “how it can do it.” I find it too common these days for tech companies to get too detailed about artificial intelligence and machine learning, neural networks and training data sets, confusing customers and raising too many questions. It would be like a car salesperson telling you how the airbags work instead of just telling you that they keep you safe. Don’t get me wrong, there is a need for technical details to help customers understand scale, security and other differentiators, but I think focusing on business use-cases is always the right way to start the conversation. IPsoft is doing well with their use-case focused messaging and the amazing new Amelia City lab/briefing centre.

For further information about IPsoft’s Digital Workforce Summit, here is a short video I record while at the event:

Also, here is a customer case study my colleague Cindy Zhou and I wrote:

How SEB Bank Uses IPsoft to Increase Customer and Employee Engagement
This case study examines SEB Bank's experience implementing IPsoft's Amelia artificial intelligence (AI) platform for use by both internal employees and external customers. Since the Swedish bank deployed Amelia, which it renamed Aida, internal employees have dramatically reduced the resolution times for common IT support issues. Externally, 91 percent of the customers that used Aida rated the solution as "very good" or "good." Aida also helps customers book branch sales appointments for more-personalized service and reduced wait times.

 

Future of Work

Alteryx Offers Gift of Time for Analytical Innovation

Alteryx Offers Gift of Time for Analytical Innovation

Alteryx adds repeatability, automation features so analysts can streamline data prep, step up predictive analysis.

Alteryx eliminates tedious and time-consuming data-prep work so users can spend more time on innovative, advanced analytical work.

This was the core appeal articulated at Alteryx Inspire, the company’s annual customer conference held June 4-7 in Anaheim, CA. Riffing on the event theme “Alter Everything,” CEO Dean Stoecker encouraged the more than 3,000 Inspire attendees to use Alteryx to eliminate error-prone, repetitive spreadsheet drudgery and drive transformations and new business opportunities through data science.

Alteryx CEO Dean Stoecker shares examples of customers that gained time through repeatable data prep and transformation that they could redirect toward analytical innovation.

Alteryx laid out more than a dozen significant product enhancements at Inspire. It also set forth a roadmap toward machine-learning-based recommendation features and cloud-based deployment options coming to future releases. Here’s a closer look.

Alteryx Upgrades for 2018

Alteryx offers four products that it’s moving to synthesize into a tightly integrated platform. The core product that all customers use is Alteryx Designer, a desktop data-prep, blending and analytical tool that was introduced in 2006. Alteryx Server, added in 2010, provides a platform for connecting to data sources, collaborating around and automating Alteryx data workflows, and executing at big data scale. Today the vast majority of Alteryx revenue comes from an even split of Designer and Server licenses, but the company introduced two new products in 2017.

Using proceeds of its March 2017 IPO, Alteryx made two acquisitions in June 2017. Building on the acquisition of Semanta, a data cataloging and governance vendor, the company introduced Alteryx Connect, which offers data-discovery and collaboration capabilities. The assets of Brooklyn, NY-based startup Yhat were developed into Alteryx Promote, which supports analytical model deployment, monitoring and ongoing optimization.

The key announcements at Inspire were around more than a dozen upgrades across all four products. Some of these upgrades are already available, some are set for later this year and a few won't be available until next year. Demos of several of these upgrades drew raves from attendees while offers seemed overdue. Highlights included:

A social data catalog and asset recommendations. Search enhancements now generally available make it easier for users to find the data they’re after. In Q3 Alteryx will beta release an upgrade whereby users will get recommendations on the most popular data sources blended with a particular data source when they drag and drop it into a workflow. 

Workflow caching. This upgrade, set for beta release in Q3, makes it easier to develop reusable data-prep and data-processing workflows by saving interim steps during an iterative design session.

Data profiling. Now generally available, this feature provides statistical details on the number of records, range of values, average value and other details about data set. Quality stats, such as the percentage and number of missing or exception values, will be useful in driving cleanup recommendations.

Python SDK. Alteryx already offered extensive support for use of R-based models, but with so much analytical development moving to Python, Alteryx has added an SDK supporting analytic development in this ascendant language.

Interactive Data Grid. These enhancements to Alteryx Designer’s core interface, planned for Q3 and beyond, drew hearty applause from customers, as it will make it easier for users to search, sort and filter their data without leaving Alteryx.

Alteryx VP of Product Management Ashley Kramer introduces the long list of upgrades the company has planned for 2018 and beyond. 

MyPOV on Alteryx Upgrades: As noted, some of these upgrades, like key data-source connectors for Alteryx Connect, SAML support in Alteryx Connect and Alteryx Server, and the addition of data profiling and the Python SDK, seemed overdue. The workflow caching, Interactive Data Grid and a new Insight Tool for dashboards (which are all future enhancements) were real crowd pleasers. They look like they’ll deliver more problem-solving shortcuts around what would otherwise require tedious and repetitive manual work. Overall Alteryx seems to have stepped up its pace of development, so I’d expect less catch-up development and more innovative new feature development in future releases.

On the Horizon

Alteryx has plenty of competition both from dedicated data-prep vendors, such as Trifacta and Paxata, on the one hand, and advanced analytics vendors, such as RapidMiner, Knime and Domino Data, on the other (DataRobot and H2O are partners). Adding to the competitive pressure on Alteryx has been efforts by the likes of Tableau, Microsoft PowerBI, Qlik and other mainstream analytics vendors to add basic data-prep capabilities.

Roadmap themes going forward for Alteryx include:

  • Knit together Connect, Designer, Server and Promote more closely to support seamless, end-to-end analytic workflows.
  • Add machine-learning based capabilities across the platform to augment the skill of humans and support automation.
  • Build out a container-based cloud deployment approach to support consistent, reusable use of the platform in hybrid and multi-cloud deployment scenarios.

Specific developments on the horizon include a Solution-Based Modeling Utility that will walk business analysts through the predictive modeling steps of data prep, analysis, model building and deployment through a wizard-driven interface. Also coming, in the ML vein, are data formatting, cleansing and join recommendations and natural language query capabilities.

MyPOV on Alteryx. I know from prior research (like this case study on Ford) that Alteryx is a great, time-saving and democratizing option for companies looking to make data-driven decision-making more of a self-service proposition. As was abundantly evident at Inspire, the company is growing quickly and has plenty of enthusiastic users of Alteryx Designer and Alteryx Server.

What remains to be seen is how successfully the company’s new products, Connect and Promote, can be knitted tightly into inseparable platform. Plenty of customers at Inspire told me they are considering adding these components, but few have done so as yet. A notable exception was Shell Oil Company, which offered a presentation on how it’s using Alteryx Promote as part of an effort to spread ML-based predictive analytical capabilities across the company.

What also remains to be seen is the extent to which native data-prep capabilities coming from the likes of Tableau will sap demand for more Alteryx licenses. Alteryx execs contended that these moves will only seed more demand for its platform. Whether entry-level prep happens in Alteryx or not, I see the company’s expanding analytical and model-deployment capabilities as the company’s bigger opportunity. Prep is something to get out of the way and make repeatable. Analytics is where companies are going to get more bang and business impact for the buck.

Releated Reading:
Qlik Hits Reset Button, Rolls Out New Cloud, AI & Developer Capabilities
MicroStrategy Makes Case for Agile Analytics on its Enterprise Platform
Ford Analytics Team Democratizes Data-Driven Analysis

 

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News Analysis - Unit4 releases People Platform Extension Kit - A new way to fit ERP to business needs

News Analysis - Unit4 releases People Platform Extension Kit - A new way to fit ERP to business needs

 

It's not often ERP vendors change the game on customization and extension, this press release from Unit4 deserves attention as it does exactly that.

 

Let's dissect the press release in our customary style – it can be found here:

 

 

Unit4, a world leader in enterprise software for service organizations, announces today the release of new cloud services designed for customers and partners to easily extend its enterprise solutions with custom industry specific apps.

MyPOV – Ok – good summary of the press release.
 

 

 

The People Platform Extension Kit is designed to meet the specific challenges of service-based business models. As organizations modernize their business models to engage people in new ways, Unit4 is providing customers and partners with the freedom to develop differentiating front-end applications, that benefit from the critical data held in their back-office systems.

MyPOV – The innovation here is not the extension kit, ERP vendors have done this since decades in various forms, but the focus / choice of capabilities for service heavy industries.
 

 

 

The People Platform is the foundation for creating intelligent enterprise applications, providing services enabling Unit4 applications to become self-driving by offering access to machine learning capabilities, based on data collection and mining. The Extension Kit gives partners and customers access to the full breadth of Unit4 technology. They can construct custom tailored extensions or complete applications, benefiting from the powerful capabilities of the People Platform and intelligence in Unit4 Business World, becoming first-class citizens of the Unit4 application eco-system. Due to the loosely coupled, micro-service based architecture, partners and customers can develop using their preferred tooling and offer their solutions through any industry-standard marketplace.

 MyPOV – Investment in platforms always pays off, once they work and SaaS offerings run on them – this is another proof point, with the extension kit being based and running on the Unit4 People Platform. Making the extension seamless to the users is a key feature, as user experience should not be aware of what is vendor vs extension capability. For the business user the result of an extension has to be seamless UX integration. 

 

 

 

"We're in an age of business process uncertainty where for the first time technology can do more than what traditional business best practice demands," said Holger Mueller, VP and Principal Analyst at Constellation Research. "We're seeing enterprise acceleration at unprecedented rates with organizations moving faster than ever before. They can be a disruptor or be disrupted and it's their people that can make the difference. By empowering them to purpose build services and small apps in the areas that matter, connected to their enterprise applications, they can break away from the monolithic nature of ERP. Through low-code technology like this, people in business become smarter and empowered to work more effectively, producing better value in their work."

MyPOV – Solid quote... ok. Might be a little biased here. The key aspect is the low code and small apps ability. It expands the number of people available to build extension, a key aspect as often SaaS / ERP software does not work well for areas of the business that will never receive Its attention or justify the cost of a consultant or even developer to make things run smoothly. The other key aspect and innovation is that this makes ERP less monolithic, meaning there is only one way to do things. Being able to create lots of small applications with the extension kit – they may have similar / duplicate capability – but work for different users, is a major break through in ERP architecture.

 

 

 

 

"The everything as a service economy is driving business model changes around the world," said Stephan Sieber, CEO of Unit4. "As customer demand for simple online subscription services and rapid value grows, organizations are modernizing business models to create greater efficiencies and to engage customers, employees, and business partners in new ways. Core enterprise systems are vital, but do not deliver competitive differentiation on their own. Our customers have unique strategic processes, and by opening our solution platform for simple application development irrespective of programming language or industry marketplace, they can build very specific apps that deliver rapid value and seamless user experience. Essentially this is the next generation of customization technology enabling organizations to have exactly what they want and need to be successful."

MyPOV – Good quote from Sieber, focusing on what matters – smooth running software, now enabled by technically savvy – but non-developer – resources in the enterprise. 

 

 

 

 
Pricing and Availability
The People Platform Extension Kit and pricing details will be available in Fall '18. Customers and partners can sign up to the Early Adopter Program from June.
 MyPOV – Always good to see immediate availability – at least for early adopters already in June. 
 

Overall MyPOV

Enterprise software will never be a 100% fit for enterprise automation needs. The move to the cloud has made the category even more resistant / unable to move to the perfect fit. It's good to see that in the more modern version of SaaS / cloud-based ERP software, vendors are starting to overcome these limitations. That requires to build on a modern platform and to expose these services, not only to technically savvy developers, but also to reasonably technology aware business users. The ability for business users to create smaller, department level or division wide applications, which can overlap, be redundant is a key step to move of the monolithic heritage of ERP. Good progress by Unit4.

On the concern side, there can be the situation of the what Disney showed well starring Micky Mouse in the Sorcerer's apprentice movie. In this case too many custom apps being created, performance, reliability, compliance and more issues can arise from the approach. But it's better to try a learn than not do the move, so it will be interesting to see what Unit4 customers will be building and what overall experience will be.

But for now, congrats to Unit4 on a major milestone of making ERP fit better to the needs of service businesses.

 

 
 
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Discussion with Logitech: The Rise of Video Meetings: Smart, Affordable Collaboration

Discussion with Logitech: The Rise of Video Meetings: Smart, Affordable Collaboration

Improvements in both technology and culture are contributing to a rise in the use of video during webconferences. I sat down (over video of course) with Scott Wharton, GM of Logitech's Video Collaboration division to talk about the state of the market.

 

 

AI Investment Rising Significantly Among Early Adopters

AI Investment Rising Significantly Among Early Adopters

Media Name: 4xv3lqnanyc-joe-gardner.jpeg

Sixty percent plan to increase investment by more than 50% compared to last year

Early adopters are ramping up investment in artificial intelligence (AI) technologies in 2018 reveals an AI study conducted by Constellation Research. Sixty percent of C-level executives surveyed say their organizations plan to increase investment in AI by over 50% compared to last year (Figure 1). AI budgets, however, remain relatively modest with 92% of respondents expecting to spend less than $5 million on AI in 2018.

Figure 1. AI Budgets Rising in 2018

Modest AI budgets signal cautious adoption and deployment of foundational AI technologies for now. However, because AI often delivers successes exponentially, Constellation expects AI budgets to continue to rise by more than 50 percent annually for the next four to five years as AI R&D yields bigger successes at an increasing pace.

Firms investing in AI to improve the customer experience and drive growth

AI adoption highest among IT; Customer Service; and sales and marketing departments

The Constellation Research 2018 AI Study reveals firms are investing in AI to help improve the customer experience and drive growth. C-level executives surveyed by Constellation reported the highest levels of investment and adoption in the following departments: information technology; customer service/commerce; sales and marketing; and employee productivity.

Fifty-two percent of respondents report AI projects in production or in pilots in the IT department, 50 percent report production or pilot AI projects in customer service/commerce, 46 percent report AI projects in production or pilots in sales and marketing, and 36 percent report AI projects in production or in pilots in employee productivity (excludes manufacturing employee productivity) (Figure 2).

Figure 2. AI Spending By Department

AI spending within the organization

Driving this trend, explains Cindy Zhou, a Constellation Research principal analyst, is the ease with which firms can acquire AI capabilities for these departments. Packaged apps with AI capabilities are widely available for sales, marketing, employee productivity and commerce. As stated earlier, packaged apps with AI capabilities are often features of existing software or a platform that can simply be "turned on."

"As far as sales, marketing, and customer service organizations are concerned, AI is already here," says Zhou. "Salesforce and Microsoft for example, sell applications with AI capabilities rolled into the core product, or they are sold as add-ons. Salesforce Lightning platform customers automatically get basic Salesforce Einstein capabilities with their contract. If customers need more robust AI capabilities, they can upgrade," she explains, speaking about Salesforce Einstein, the company's AI layer within the platform, which powers a variety of built in and, in some cases, optional skills and application capabilities.

Highlights from the Study

  • Widespread adoption with caveats: Seventy percent of respondents to the Constellation 2018 AI Survey indicate their organization currently employs some form of AI technology. This number, however, tells only part of the story. AI budgets remain relatively modest (see below), and, even among early adopters, no organizations in the study have deployed true AI.
  • AI investment modest but growing fast: Ninety-two percent of respondents say they will spend less than $5 million on AI in 2018. However, respondents indicate significant year-over-year increases in AI budgets, with 60 percent of respondents registering a 50 percent increase in AI budgets compared to last year.
  • Firms employ three primary modes of AI development: developing homegrown applications by building out data science teams and using open source frameworks; developing homegrown applications using cloud-based ML and deep learning (deep learning services; and adopting packaged applications with AI capabilities.
  • Companies are investing in AI to help improve the customer experience and drive growth. When Constellation asked respondents to indicate the department(s) where AI is planned or implemented, IT, customer service/commerce, sales and marketing, and employee productivity ranked among the departments receiving the most planned or in-production AI spending. Driving this trend is the ease with which firms can acquire AI capabilities for these departments. Packaged apps with narrow AI capabilities are widely available for sales, marketing, employee productivity and commerce.
  • Potential AI-proficient talent shortage. Rising demand for workforce talent with AI proficiency poses a potential challenge for organizations that want to implement AI solutions. Eighty percent of executives say their organizations need to hire additional human capital to implement AI solutions. Seventy-two percent of organizations say they obtain new talent for AI projects via recruiting. Taken together, these two trends have the potential to culminate in a talent war as more AI projects come online.
  • Executives are feeling the pressure. Eighty-eight percent of executives say they expect their roles to change as their organizations adopt AI. Fifty-four percent of executives say they will need to understand how to restructure the business to accommodate new business models, 50 percent report a need to acquire data expertise and 48 percent report needing to learn how to motivate an AI-augmented team.
  • Resistance to AI: Fifty-two percent of respondents report resistance to AI within the organization. Top sources of resistance among those who reported resistance to AI include lines of business at 67 percent, IT at 32 percent and HR at 25%.
  • Data privacy strategies are not yet ubiquitous among firms using or developing AI. Among firms using AI, 23 percent say their organization does not have a data privacy strategy to protect personal information ingested by AI. Thirty-one percent of organizations       currently using AI do not have an opt-in policy to handle personal information ingested by AI.

About the Study

The Constellation Research 2018 Artificial Intelligence Study leverages findings from the 2018 Constellation Research Artificial Intelligence Survey which assesses the state of AI among the first movers, early adopters, and fast followers that comprise Constellation's subscriber base.

The Survey asked C-level executives about the state of AI investment and deployment in their organizations, budgets for AI investment, technologies driving AI development, how AI might impact executives and the workforce, sources of internal resistance to AI, and privacy.

For the purposes of both the Survey and the Study, Constellation defines artificial intelligence as the culmination of technologies including deep learning, neural networks, natural language processing, and big data/predictive analytics to produce software that is self-improving, automatic, and emulates human intelligence.

Seventy-four percent of responses came from the C-suite, with CEOs making up 26 percent of the sample; CIOs, 20 percent; CTOs, 10 percent; CDOs, 6 percent; CMOs, 2 percent; and other C-level executives, 10 percent. There were no CFOs in the survey sample.

The sample consists of respondents from twelve different sectors, mostly in the United States. Sectors include automotive; consumer electronics; consulting/systems integration; finance/insurance/real estate; government; healthcare/medical/pharmaceutical; media/interactive/PR agency; news/entertainment; retail; technology-hardware, software, services; and telecommunications or travel/hospitality.

Total revenue of respondents' firms in 2016 range from less than $10 million to more than $1 billion. Twenty-nine percent of respondents reported revenue of less than $10 million; 14 percent reported revenue between $10 million and $50 million; 29 percent reported revenue between $50 million and $500 million; and 29 percent reported revenue of over $1 billion.

Download a complimentary copy of the Constellation Research 2018 AI Study.

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Microsoft Acquires GitHub

Microsoft Acquires GitHub

On June 4th, 2018 Microsoft announced their intention to acquire GitHub. My research focuses on team collaboration, not application development, so my interest in this deal is around areas of working together, community, etc. Here are a few thoughts:

  • If/when/how Microsoft could create a use-case focused version of Microsoft Teams for developers
  • What solutions could be created by adding GitHub data into the Microsoft Graph? Could this help developers promote their projects, connect with new contracts, etc? Could it help employers find developers? Could this help create better developer communities?
  • How will this enable Microsoft to compete against Atlassian's combination of BitBucket and Stride?

For more information related to the technical aspects of application development tools and platform, follow my colleague Holger Mueller.

Similarly, Ray Wang has some great thoughts about this from a business standpoint, especially around enticing a new generation of developers to think about Microsoft.

Here is a collection of tweets showcasing some of the thoughts from my Constellation Reseach colleagues and me. 

Host Analytics Simplifies Collaboration Between Finance and Business Users

Host Analytics Simplifies Collaboration Between Finance and Business Users

Host Analytics introduces MyPlan, MyPlan Mobile to enable budget owners on the business side to collaborate on forecasts, plans and agile course corrections.

 

Budget-owners on the business side don’t want to use software designed for financial professionals any more than finance types want business people interacting with data or software features they shouldn’t see or touch.

 

These prevailing instincts are the reason Host Analytics (Host) recently added a business-user-oriented MyPlan interface for its cloud-based enterprise performance management (EPM) system. At its May 21-23 Host Perform user conference, the company followed up by announcing MyPlan Mobile, a device-native app (initially on iOS) designed to keep executives who are on the go connected to budgeting and planning processes.

 

Held this year in Dallas and attended by some 700 customers, Host Perform also highlighted recent upgrades and coming attractions to the vendor’s software-as-a-service-based EPM platform. But MyPlan and MyPlan Mobile were the clear centers of keynote and expo-floor attention.

 

Design for Business Users


EPM vendors are all fond of saying that budgeting and planning should be a team sport. And in a perfect world, finance wouldn’t rely on emailed spreadsheets and other disconnected, manual methods to gather data and collaborate with budget owners around forecasts and plans. EPM systems give finance a centralized, collaborative platform for budgeting and planning, but these systems have not typically seen broad adoption outside of finance. In Host’s assessment that’s because EMP systems are designed, first and foremost, for finance professionals and are not familiar or intuitive for business users.

 

Rather than dumbing down its usual interface, Host developed MyPlan through clean-sheet design sessions with budget-owning business users. What these users want, Host discovered, is a simpler interface in which they can see where they stand, meaning actual performance to date, see where they’ll land, meaning at the end of current budget period, and see what they can plan, meaning how they can adjust their spending and allocations to meet budget expectations.

 

The result was the MyPlan interface (shown below), which was made generally available in March. The interface gives the budget owner – it this case, a marketing executive – a clear sense of where they stand in terms of people, equipment, travel and program expenses. Green and red colors highlight where forecasts and budget figures are on track and where there’s variance.

 

 

Host's MyPlan (top) and MyPlan Mobile interfaces (above) are designed to show business users where they stand on actual performance and where they're forecasted to land by the end of the current financial period. By selecting a wrench icon, users can test changes, reforecast and then update their plans in order to meet budget expectations.

 

The MyPlan Mobile App, which will be released in the second half of 2018, will enable employees who are on the go to see the latest results and then respond, by adding or deleting a planned employee, adding or deleting an asset, or approving or rejecting an expenditure and submitting the update to finance. In a role-playing scenario during the opening keynote at Host Perform, a corporate lawyer used MyPlan Mobile to reviewed the latest expenditures for the Legal department, make changes to his plan, reforecast and then submit updates to his budget.

 

MyPOV on MyPlan and MyPlan Mobile. Like other EPM vendors Host offers integrations to Microsoft Excel, but the company says the business users it talked to when designing MyPlan pointedly did not want a spreadsheet-like grid for collaborative budgeting and forecasting. As I see it it’s a clean design that keeps things simple, but the strength of the MyPlan interface is that it’s a connected and collaborative view of each stakeholder’s budget and plan. Users can click on the wrench symbol to reallocate resources, optimize and otherwise update their plans in order to meet budget expectations. I particularly like the fact that MyPlan eliminates toggling between applications by exposing everything the user needs within a single interface.

 

Pricing details were not disclosed by Host, but customers will pay for a contributor subscription plus an upcharge for the MyPlan interface that will also include the coming MyPlan Mobile app.

 

Coming Attractions

 

Among the recent, soon-to-be released and on-the-horizon upgrades showcased at Host Perform, here are a few highlights:

 

  • Dashboard upgrades added with Host’s May 25 Spring release introduced server-side custom calculations that can be reused across dashboards, speeding development and ensuring consistency.
  • Drill-through capabilities expected this summer will enable users to see more details behind the numbers, whether they’re about assets, employees, transactions.
  • One-click rolling forecasts now on the roadmap will make it easier to do quarterly and monthly forecasts. You’ll be able to create copies of forecasts and try new scenarios around selected parameters with a single click.
  • MyPlan V2 upgrades on the longer-term roadmap will introduce “smart” recommendations for first-pass budgeting and ongoing adjustments to spending based on patterns in historical data.

MyPOV on Host’s path forward:  This is just a sampling of the upgrades Host has in the works. The company also detailed long lists of planned upgrades to its planning, consolidation, modeling and reporting capabilities. Taken together with the MyPlan initiative, there’s clearly healthy investment in supporting both deeper functionality and broader deployments. If there’s one criticism it’s that the move into machine-learning-based predictive and prescriptive capabilities is just getting underway, but it’s early days for these sort of capabilities across the EPM space.

 

The big trend in EPM is that companies are going cloud and want to take the power of planning into many operational areas. Host was already seeing some of the largest cloud-based EPM deployments, but with MyPlan and MyPlan Mobile, the company is raising the bar. One big customer in the property management space that already had 6,000 Host subscribers added 500 MyPlan users soon after it was released. It’s an early sign that Host is poised to win even bigger and broader deployments.

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News: Microsoft Acquires Semantic Machines

News: Microsoft Acquires Semantic Machines

News: Microsoft Acquires Semantic Machines

Why is this important?

It’s becoming more common to interact with our devices and applications using natural speech patterns. This could be done by speaking out loud (voice) or typing (chat). However, most of today’s interactions are simple command and response. We ask our phone what the weather is like, dictate a text message, or ask an Amazon Echo to play a song or set a reminder. While these interactions are useful, for similar interactions with business applications to be truly valuable, we need to be able to have multi-step conversations. Imagine asking your CRM system a question and having it first reply with a high-level answer, but then ask you for more details in order to provide you a more detailed response. Imagine your calendaring and scheduling system not just looking for free-time to book a meeting, but also asking if it could forward the attendees the required documents before the meeting begins. These types of actions with “chatbots” or “digital assistants” are going to play a key role in the Future of Work.

This is not Microsoft's first foray into conversational chatbots. In addition to Cortana, Microsoft has many other chatbots / digital assistants, including the very popular Xiaoice (on Weibo) and Zo on Kix.

The acquisition of Semantic Machines is not only for the technology, but also the people that work there. The staff they've acquired include people that worked on products like Apple Siri, Google Assistant, and Dragon Natural Speaking. This helps Microsoft compete against Google (who recently showcased Google Assistant having a bi-directional conversation), Amazon, Facebook, Apple, IBM, Samsung and others working on artificial intelligence and conversational user experiences.

What Does This Mean For Microsoft Customers?

Microsoft has several areas where they could leverage conversational UI, from Windows and Cortana, to Xbox, Office 365, Surface Hubs and more.

 

Future of Work

News Analysis - Informatica Announces Spring 2018 Release General Availability

News Analysis - Informatica Announces Spring 2018 Release General Availability

This morning Informatica hit the wires with a press release about its major release, Spring 2018, fittingly timed with Informatica World, being held in Las Vegas from May 21st till 23rd in Las Vegas at the Sands Convention Center. 

 

 
The press release can be found here - so let's dissect it in my customary style:
Redwood City, Calif., May 22, 2018 – Informatica®, the enterprise cloud data management leader, today announced the general availability of the Informatica 2018 Spring release during the 18th annual Informatica World® conference. This release of Informatica's hybrid data management solutions delivers innovative advances across all its core components, leveraging AI powered by the CLAIRE™ engine, to enable employees at every level to unleash the power of data.
MyPOV – Good summary on what is important for customers at the moment, hybrid data and integration capabilities. As all vendors Informatica talks AI with CLAIRE, but will have to show the value of its offering, starting at the conference to convince CxOs.


The Spring 2018 release enables increased productivity by helping organizations manage the challenges and take advantage of the opportunities provided by multi-cloud and hybrid environments, new use cases, user types, data challenges, and compliance requirements.

MyPOV – Summary paragraph, but gets to the other key aspect – (public) cloud and hybrid environment support. New user types are also important, and in the week that GDPR regulation goes live, compliance gets a lot of attention.


The Informatica 2018 Spring release includes:
Big Data for Integration Platform as a Service (iPaaS)
• The industry's first big data management cloud solution for iPaaS increases productivity and agility, accelerates self-service analytics, and empowers data engineers, data analysts, and data scientists to automate and fast-track data management work.
MyPOV – BigData is the first of the three drivers to infinite computing (the others are cheap cloud compute and deep neural networks (DLN). And BigData needs data movement and many working projects fail due to the fickle nature of the underlying open source platform as well as the shortage in experienced skills to build, extend and operate BigData solutions. Good to see a packaged offering.


Cloud Application Integration and Intelligent APIs
• New capabilities for Informatica's iPaaS – Informatica Intelligent Cloud Services? (IICS) – simplify multi-cloud and hybrid integration with API management and near real-time application integration.


MyPOV – The traditional DNA off Informatica that is moving to the public cloud, is moving from batch to real time. Real time, via APIs is crucial for many next generation applications that enterprises are building next generation applications for. And cheap compute in the cloud is taking out the human in tedious and repetitive integration work,


Enterprise Data Catalog with Intelligent Metadata APIs and Enhanced AI Algorithms
• New capabilities for Informatica Enterprise Data Catalog simplify democratization of data and provide faster, more relevant data discovery for self-service analytics.

MyPOV – Another offering that is from sometime ago, but still relevant for enterprises. Though in my view it needs a rebranding, the days of the venerable data catalogue are gone in the self-discovering, self-exploring and self-integrating era of microservices. That era needs platforms and Informatica is working hard to become a partner for these.



Intelligent, Automated Enterprise Data Governance Powered by AI
• The integration of Axon™ Data Governance with Informatica Data Quality, Enterprise Data Catalog and Secure@Source® powers a new, comprehensive enterprise data governance solution that fuels strategic business initiatives, drives privacy and protection, and supports regulatory compliance efforts.


MyPOV – Data Governance remains important, especially given the recent data breach news… but governance has to happen on a day to day, and in the era of the cloud, minute by minute basis. Not sure how well Axon can perform here, but it needs to very automated, ideally almost human free in the operational aspects, so it really empowers an enterprise and does not suffocate if with compliance and admin needs.



AI-driven Data Privacy and Protection
• Informatica's comprehensive data privacy and protection solution brings enhanced support for privacy and compliance initiatives across the enterprise.


MyPOV – A very thing paragraph, makes the analyst wonder why…. Will have to learn more at the conference.

[..]

Tweet this: News: @Informatica announces 2018 Spring release general availability @infaworld http://infa.media/pr180522b #INFA18

MyPOV – A new best practice in the era of social media and news amplification – good to see Informatica practicing it.

 

The Future of Integration
Source: Holger Mueller, Constellation Research 

Overall MyPOV

Informatica is pushing its product suite further in all directions. It will be interesting to follow the keynote and see the progress first hand on the show floor. And Informatica has no alternative than to push onwards, as it sits in the center of all key platforms challenges enterprises have when the move their application portfolio to the cloud and build a mesh of traditional and next generation applications, that application functionality and data mesh needs a modern integration platform and Informatica is en route to create this. We are between the 2nd and 3rd phase of the evolution of integration in the above chart (between the business User Empowerment and Self Identifying stages.

On the concern side, there are many areas that Informatica need to tackle, and resources, talent and budgets are limited. Informatica World will be a good change to check the pulse how substantial these offerings are from a functional richness, customer adoption and partner support.

But for now, stay tuned on more of the fundamental switch in the integration best practices and portfolio.



 
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News Analysis: Adobe Completes Campaign To Commerce With $1.68B Magento Acquisition

News Analysis: Adobe Completes Campaign To Commerce With $1.68B Magento Acquisition

Commerce Finally Comes To Adobe

On May 21st, 2018, Adobe announced a $1.68 billion acquisition to acquire Magento for commerce capabilities and the developer ecosystem. When the transaction closes, the Campbell, Ca based company will be part of the Adobe Digital Experience team with Magento's CEO Mark Lavelle reporting to Adobe's executive vice president and general manager Brad Rencher.

Traditional bifurcation in the ecommerce landscape has led to vendor proficiency in B2B or B2C commerce. Few organizations have succeeded in delivering on both B2B and B2C. Meanwhile, the death of the CRM and CX market has led to demand for end to end campaign to commerce solutions. SAP's acquisition of Hybris and Salesforce's acquisition of Demandware and Cloud Craze have left Adobe behind competitors who have had a commerce offering. While Adobe has successfully worked with partners to create a friendly environment for commerce integration, customers and design partners have repeatedly asked when Adobe would acquire or build these capabilities. Sources confirm that Adobe has actively sought a commerce partner and acquisition over the past five years as the market for campaign to commerce has heated up. Magento plays a key role in shoring up the commerce offering and B2B chops missing in Adobe increasing dominance in the B2C world.

Constellation believes that the acquisition (should it close) gives Adobe customers:

  • End to end creative to commerce support. Adobe customers can reduce the clutter of best of breed solutions and offer a one stop shop for customers. Commerce brings together a defined end point for all the marketing and customer experiences. Magento even brings a light supply chain offering that includes order management, fulfillment, logistics, and shipping.
  • B2B credibility in commerce. As organizations from B2C and B2B to P2P commerce, customers seek the ability to find one vendor with both offerings. B2B capabilities in Magento Commerce 2.2 have started to gain traction and Adobe's channel can bring that to customers across the globe.
  • Open source ecosystems and platforms. Despite leveraging and contributing to open source initiatives,Adobe's platforms and culture lack an open source DNA. Magento's heritage of customer communities and developer ecosystems will bring fresh air to Adobe customers used to a very planned and prescribed approach. Access to a broader ecosystem of developers and customers that can expand Adobe's reach.
  • Mid-market and lower price points. Magento's CMS is simpler to use but supports less use cases than the flagship Adobe AEM product. Channel development and new price points can potentially serve smb customers who have been priced out of Adobe's offerings.
  • Industry expertise. Magento built a strong capability in industry verticals such as automotive, fashion, food and beverage, and health and beauty. This expertise can be applied to other areas of Adobe's industry strategy.

Constellation believes that the acquisition (should it close) gives Magento customers:

  • Access to a full scale CMS. While the full blown AEM may be overkill for many Magento customers, customers seeking to expand or go up market will have options within the Adobe family. Those customers who seek to move off Acquia now have options.
  • Rich analytics. The flagship analytics cloud offering will most likely replace usage of Google and provide a full end-to-end approach in an area Magento under invested in.
  • Long term stability. Adobe had improved its ability to acquire vendors from a product offering, customer service and support, employee retention, and customers success point of view. Adobe's profit margins, management stability, and long term revenue provide a long term investment road map for Magento's offerings and should give peace of mind to larger enterprise customers.

The Bottom Line: Adobe's Vision Is Creative To Commerce Reimagined For An AI Driven Digital World

The combination of machine learning, deep learning, natural language processing, and cognitive computing changes the ways that customers and prospects interact with their environments. AI-driven smart services will sense one’s surroundings, know one’s preferences from past behavior, and subtly guide people and machines through their daily lives in ways that will truly feel seamless. This quest to deliver AI-driven smart services across all industries and business processes will usher in the most significant shift in computing and business this decade and beyond. Commerce will be the biggest use case for this type of AI driven mass personalization as organizations accelerate their digital transformation efforts and Adobe is in a great position to deliver this to customers.

Both Adobe's and Magento's customers stand to gain a lot from a one stop shop on this digital journey. As commerce velocity has slowed given the complexity of integration and technologies, customers and partners are asking for a consolidation in the market to de-risk the complexity and improve platform resiliency. Adobe's made extensive commerce and marketing specific Sensei investments that will be available to customers in the Fall of 2018. Adobe promises integration of Sensei into Magento starting 2H 2018

Customers can expect these efforts to bring AI to the end to end process in early 2019. The quest to deliver on creative to commerce for B2B and B2C will require additional acquisitions in subscription billing, CPQ, personalization, and contract management in order to step up the competition with SAP Hybris and Salesforce.com. Customers stand to benefit with this level of investment and consolidation in the market. Adobe will have a lot to learn from Magento on how to improve their ecosystem and open up their platforms. If this occurs, the overall ecosystem will have the innovation required to support innovative vendors at the edge and allow for a complete reimagination of commerce.

Your POV.

Are you excited about commerce offerings from Adobe? Will you still use Shopify, Episerver, ElasticPath, Demandware, Sitecore or Hybris? Let us know what you think? Add your comments to the blog or reach me via email: R (at) ConstellationR (dot) com or R (at) SoftwareInsider (dot) org.

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