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Open Business Ecosystems and Closed Technology Platforms Business Enabler, or Business Market Disrupter?

Open Business Ecosystems and Closed Technology Platforms Business Enabler, or Business Market Disrupter?

WARNING; If you work for an Industry Sector leading Enterprise this piece may serious disturb your piece of mind in respect of your Digital Business strategy. Shifting from Products, to Services, to Outcomes to gain increased revenues at higher margins will be at the heart of your Enterprise Digital Business strategy. To maximizing Business opportunities through interactions almost certainly requires participation in an industry sector Business Ecosystem, and, that requires functionality to be provided by a Technology Platform. Enterprise IT department view Technology Platforms as a mixed blessing trading internal functionality ease against the restrictions of a closed proprietary environment. Will it any different externally when the Platform provider is supporting a Business ecosystem?

The next big business word is; Ecosystem? This is a direct quote from a Forbes article that tracks the amazing rise in the frequency that the term is used, and makes an important statement about the what it should mean. Like a lot of terms with complex meanings all too often it is a short hand to avoid having to really understand the true definition. However, underlying the whole concept of ‘Ecosystems’ is a really big question, and like so many it arises from the collision of business and technology into increasingly becoming an interchangeable and ubiquitous environment.

Using the example of App Shops; How much alignment is there between a Business definition of the value to be found in the Apple, or Google, App shop Business Ecosystems versus the technology controls imposed by the proprietary Apple, or Google, Technology Platform? Extend the example to Amazon Books and ask who has control of the resulting Ecosystem; Amazon or the Publishing houses that controlled the market for more than one hundred years?

Does it matter? Are the technology platforms and business ecosystems just two sides of the same coin and nothing to consider? Arguably it does matter as its difficult, perhaps impossible, to have a business ecosystem without some form of common shared technology to support the interactions within it, but does that have to be a vendor provided technology ‘platform’ in the format above?

From a business point of view, the value in App Shops for Mobile Devices lies in opening up, or expanding, the available marketplace resulting in the creation of economic value through bringing sellers and buyers together. Thus, the business definition of an Ecosystem, first and foremost, lies in the creation of increased trading opportunities. The statistics for Apple and Google App Shops support this by showing the numbers of participants and the value of their activities together as rising at a remarkable fast level since their introduction.

Both App Shop ecosystems exist because Apple and Google have each developed a proprietary technology Platform to enable their respective market places to form and grow. The business value in the trade that each company has created is unquestionable, it’s the nature of the underlying, and necessary, Technology Platforms that warrant some thought. To enable the business functions each is a proprietary set of software that forces a choice to support one or other, or increasingly both, in a closed environment. Its arguably a good trade off in App shops case, but is the same true in other industry sectors.

Will the outcome of the creation of Industry sector Digital Business Ecosystems be the result of Darwinian competition in each industry sector ending with the establishment of one, or two, competitive Platforms? And will the resulting Platforms, and their controlling influence, belong to new entrants, or will the existing industry sector leaders be able to maintain their position?

Amazon is a perfect example; seen first and foremost as a market place created by a massive ecosystem of sellers and buyers, with the recognition of its enabling role as a Technology platform decidedly in second place. The function of what can, and cannot, be achieved is much more closely aligned to the commercial operation of the marketplace ecosystem then to the technology functionality. In fact, the sheer usefulness of the Amazon technology and the adoption across the market into a wide variety of reading devices has left the question of technology lock-in as largely irrelevant, unless you are a competitor!

The combination of the Amazon Kindle innovation as a reading device plus the Amazon Technology Platform quickly defined the emerging online Digital market for books. Industry sector leaders such as Barnes and Noble in the USA, were relegated to selling via Amazon to reach their ecosystem of buyers as their positioning and business model slowly failed in the face of this shift.

It is an interesting shift in perspective from the internally orientated Enterprise IT adoption case for a particular product suite to gain simpler, more reliable and less costly technical integration by using a Platform, to the high profile external business strategy requiring access to an Ecosystem. However, the principle of ‘lock-in’ is still present, and in time could become a strategic threat to a market sector leader.

The danger is that in enabling your Enterprise’s new high growth Digital Business market strategy by using a leading Platform to reach the market place ecosystem may well work short term, but in the longer term you may in actuality be helping to establish a new market sector leader. How many of the 90% of C Level Executives stating their Enterprise has a Digital Strategy have recognized this? In fact, unwittingly some Digital Business strategies will actively help to build their Industry ecosystem disrupter by channeling their business via the ubiquitous Technology Platform vendor![PD1]

The Market Mogul identified the importance of Technology Platforms in building and controlling Digital Business in an article entitled; Startup Unicorns and the power of the Digital Economy. The entire article is well worth reading and the following are isolated extracts;

Uber, Airbnb, Alibaba, eBay, Facebook – everyone will have heard of these companies and how they disrupted entire industries. ….. But if one takes a closer look, it is not necessarily their products or services that enabled these companies to change the game. It is the platforms through which they sell the products and services that drive the change in the most traditional and well-established industries… Today, the top 15 public companies which have adopted a platform business model, have a cumulated $2.6trn in market capitalization. At the same time, an increasing number of start-ups are entering well-established industries with a platform strategy…. Clearly, the platform business model has great potential, and increasingly more companies in every industry become aware of this potential.

 

The frustrations, and constraints, caused by a past generation of internally deployed Enterprise IT Technology Platforms seem to have been forgotten as the new generation of Technology Platforms arrive as external Business Ecosystems. Introducing Digital Business innovative within entrepreneurial ecosystems and opening up a wealth of business opportunities to bring new revenue and proprietary limitations are seen as insignificant. Dynamic interactive Digital Business must have new forms of shared distributed revenue creating activities, and that in turn means there has to be a shared Technology platform. From a Business management perspective, there is no case to consider as this is the ‘entry fee’ to gain access to the market the ecosystem provides.

 

With the advent of Cloud based Service model the ‘entry fee’ is minimal and the lock in risk from investment and pay back obsolesce minimal, as the saying goes ‘What’s not to like’! A read through the following which is from the Wikipedia entry on Ecosystems and their development introduces a note of caution based on past commercial experience. The definition also aligns with the examples of Digital Business ecosystems used above

 

An economic community supported by a foundation of interacting organizations and individuals—the organisms of the business world. The economic community produces goods and services of value to customers, who are themselves members of the ecosystem. The member organisms also include suppliers, lead producers, competitors, and other stakeholders. Over time, they coevolve their capabilities and roles, and tend to align themselves with the directions set by one or more central companies. Those companies holding leadership roles may change over time, but the function of ecosystem leader is valued by the community because it enables members to move toward shared visions to align their investments, and to find mutually supportive roles. https://en.wikipedia.org/wiki/Business_ecosystem - cite_note-3

Are there alternatives that place your brand and sector leading Enterprise at the center of an Industry sector ecosystem? More importantly, what would this Business Ecosystem look like and how would it function? A few industry sector leaders have seen the opportunity and, by moving fast, have created their Industry sector Business Ecosystem - with their brand and positioning at the center. Later Business entrants, unless directly competitive, now join as the de facto ecosystem.

John Deere, an established World leader in agricultural machinery has maintained, even strengthen its position by moving early and fast. A great deal has been written about John Deere and Precision Farming, the Digital revolution of Agriculture, but little makes the point quite so starkly as Digital Social Strategy in their article ‘How John Deere turned Technology into Business Transformation’.

This ecosystem helps farmers to gain insight into their current operations and manage their farms more proactively. Not only do farmers reap benefits from this approach, John Deere does so too. By creating an entire ecosystem, John Deere extends their offering beyond products into delivering services. Moreover, only allowing John Deere products access to the ecosystem creates a buyer lock-in for the farmers. Once they own John Deere equipment and make use of their services, it will be very expensive to switch to another supplier, thus strengthening John Deere’s strategic position.

At the heart of the John Deere approach is the need to be Open to allow the Ecosystem to grow by supporting wide spread active participation through Data sharing. The open source programming language R in combination with Open DataBase Connectivity, ODBC, underpins the John Deere ability to maximize Ecosystem value to participants through data, and proves that Open Source can be deployed successfully by Industry Leaders to build their own Ecosystems.

The power of open source levels the playing field for companies both big and small. It lowers barriers and offers a neutral environment that fuels and allows companies to innovate and evolve. This open collaboration helps companies like John Deere work with the ecosystem to create the best solutions for its customers. In return, John Deere offers insight and experience and works with other companies make the ecosystem stronger.

EdgeX Foundry is a prime example of a community approach to open source value. Hosted by The Linux Foundation, EdgeX is an open source project building software that enables and facilitates an ecosystem for Internet of Things (IoT) edge computing by enabling interoperability across tools and solutions. More than 60 vendors have come together in an open forum to create this ecosystem in a way that delivers shared value across the participants rather than large rents to a single company. The underlying hope is that this will accelerate the entry of participants into the ecosystem through equal access, and increase the market size by assuring customers that solutions built with EdgeX a safe, performant, and vendor neutral choice in a confusing and emergent marketplace.

 

Summary; The imperative for gaining competitive advantage via (these) ecosystems is for firms to create sustainable ecosystems and for the lead firm how to capture the value created by the ecosystem. Quote https://www.jbs.cam.ac.uk/fileadmin/user_upload/research/workingpapers/wp1006.pdf

The question is whether your Enterprise will seize the lead or through a failure to realize the implications by taking the obvious route via a vendor / provider help them to become the market disruptor and new industry sector leader.


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Mixed Reality AR and VR Meets The Real World

Mixed Reality AR and VR Meets The Real World

This exciting panel shows how context, mass personalization, and digital come to life with a converged reality. See how Augmented Reality and Virtual Reality create new business opportunities and experiences in a mixed reality.

https://events.bizzabo.com/203850/agenda/session/170133

Alex Barth
VP of Business Development
Mapbox

Alan Lepofsky
VP & Principal Analyst (MODERATOR)
Constellation Research

Brian Katz
Enterprise Architect & Strategist
Oath

Joel Pennington
ARVR Strategy and Development
Autodesk

On <iframe src="https://player.vimeo.com/video/240783748?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="Brain Trust: Mixed Reality AR and VR Meets The Real World" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Fireside Chat with Aneel Bhusri, CEO and Co-Founder of Workday

Fireside Chat with Aneel Bhusri, CEO and Co-Founder of Workday

Join the audience for an exclusive interview with entrepreneur, investor, and philanthropist, Aneel Bhusri. He is the co-founder and CEO of Workday, Inc., a partner at Greylock Partners, and a member of the board of directors of Intel. This no-holds barred interview brings out insights and personal point of view from one of Silicon Valley's industry icons.

On <iframe src="https://player.vimeo.com/video/240771976?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="D1S05 Market Maker 1:1 Fireside Chat with Aneel Bhusri, CEO and Co-Founder of Workday" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Digital Transformation Digest: MIT's Big Data Breakthrough, Google Beefs Up Private Cloud Connections, SCO-IBM Case Lives On

Digital Transformation Digest: MIT's Big Data Breakthrough, Google Beefs Up Private Cloud Connections, SCO-IBM Case Lives On

Constellation Insights

MIT-backed "Taco" system could deliver big data breakthrough: Researchers at MIT, the French Energies and Atomic Energy Commission and Adobe have collaborated on a new system that tackles the problem of "sparse" data when running big data-analysis workloads. Here's how MIT's news office describes the system:

Imagine, for instance, a massive table that mapped all of Amazon’s customers against all of its products, with a “1” for each product a given customer bought and a “0” otherwise. The table would be mostly zeroes.

With sparse data, analytic algorithms end up doing a lot of addition and multiplication by zero, which is wasted computation. Programmers get around this by writing custom code to avoid zero entries, but that code is complex, and it generally applies only to a narrow range of problems..

The system is called Taco, for tensor algebra compiler. ... If that Amazon table also mapped customers and products against the customers’ product ratings on the Amazon site and the words used in their product reviews, the result would be a four-dimensional tensor.

[Taco] offers a 100-fold speedup over existing, non-optimized software packages. And its performance is comparable to that of meticulously hand-optimized code for specific sparse-data operations, while requiring far less work on the programmer’s part.

A publicly released tensor from Amazon that associates customer ID numbers with purchases and terms from reviews consists of 107 exabytes of data, but Taco's compression can squeeze that massive data set down to an almost trivial 13 gigabytes, according to the researchers.

POV: The MIT post goes into much more detailed description of Taco's capabilities and how it was conceptualized. On paper, the researchers' work shows considerable promise, notes Constellation VP and principal analyst Doug Henschen.

The idea behind Taco is to save processing time in big data scenarios by avoiding churning through tensors (arrays) of data that are sparse, meaning full of null values that don't impact a calculation," Henschen says. "It's a common trick in big-data analyses to avoid churning through data that's irrelevant to a calculation."

Columnar databases, for example, let you skip the columns of data that aren't relevant to a query, he adds. Compression schemes, another example, let you skip across or summarize redundant values of data. "Whether it's typical or even an extreme case, the example cited in the article of turning 107 exabytes of data into 13 gigabytes of relevant information bodes well for the Taco approach," Henschen adds.

Google beefs up its Dedicated Interconnect service: Earlier this year, Google announced Dedicated Interconnect, a premium service that provides faster, private connections to its cloud platform, with an eye on hybrid cloud deployment scenarios.

Dedicated Interconnect is now generally available under a 99.9 percent or 99.99 percent service-level agreement, but as part of the GA launch Google has also added a number of additional features.

One is global routing support in Cloud Router, which gives Interconnect customers the ability to connect on-premises workloads to any Google Cloud Platform subnet in the world. This provides additional network flexibility and robustness but there are cost differences compared to the default setting of regional dynamic routing. Google claims that global routing support is "unique among leading cloud providers," which may be the case, but the question is for how long.

Google has also added Dedicated Interconnect to four additional regions: Mumbai, Munich, Montreal and Atlanta. Dedicated Interconnect works by directly connecting a customer's network to Google's in a co-location center. Google says it's also working with Equinix to add more DI locations around the world.

POV: The success or failure of Dedicated Interconnect is something to watch keenly, given that it is going GA at a time when enterprises are more concerned about security than ever, while hybrid cloud deployment models continue gaining significant momentum. Amazon Web Services and Microsoft Azure already had offered similar services, in the form of Direct Connect and ExpressRoute, respectively. Now that Google has caught up to the competition, enterprises have a third option for private connections, but should take care to weigh each service's merits carefully on matters such as management complexity and the finer details of pricing.

Halloween nightmare as SCO-IBM case lives on: Yes, the litigation between SCO and IBM is still alive, somehow. The zombie-like case over alleged improprities by IBM with SCO's UNIX code has been dragging on since 2003, and now an appeals court judge has partially ruled in favor of SCO, as Ars Technica reports:

Last year, US District Judge David Nuffer had ruled against SCO (whose original name was Santa Cruz Operation) in two summary judgment orders, and the court refused to allow SCO to amend its initial complaint against IBM.

SCO soon appealed. On Monday, the 10th US Circuit Court of Appeals found that SCO’s claims of misappropriation could go forward while also upholding Judge Nuffer's other two orders.

In essence, SCO has argued that IBM essentially stole, or misappropriated, its proprietary code (known as UnixWare System Release 4, or SVr4) in the May 4, 2001 release of the "Monterey operating system," a new version of UNIX designed for IBM’s "Power" processors.

POV: The lawsuit has had remarkable legs, even surviving SCO's bankruptcy. Estimates of SCO's legal expenditures vary but have been pegged as high as $100 million. There is said to be billions of dollars at stake, however, so expect SCO to take its fight to the bitter end—when that will actually come is anyone's guess.

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Fear Not Marketers, GDPR Help is Here

Fear Not Marketers, GDPR Help is Here

 
As the Marketoon from Tom Fishburne shows, the term GDPR strikes fear and can lead to "The Scream" with marketers (for those that know about it). Based on my conversations with CMOs and marketers, only 43% were aware of GDPR and of which 55% were actively preparing for it. There is no lack of content and information on GDPR in general, but most were confused on what GDPR is or what specific action did they need to take when it came to their marketing programs, website, and data collection process. Many marketers assumed that their Marketing Automation or CRM provider will take care of any changes and they were “covered”. Others believe that they don’t have an office in Europe, therefore, it doesn’t apply to them. It is confusion over the impacts of GDPR and my mission to help marketers that propelled me to write my latest report, A Guide to GDPR Compliance for Marketers.
 
A quick overview on GDPR, or the General Data Protection Regulation, it was passed in 2016 and mandates new personal data-handling requirements for individuals living in the European Economic Area (EEA) which includes all 28 countries in the European Union, Norway, Iceland and Lichtenstein. GDPR imposes strict fines on organizations that are non-compliant and the fines can be as high as 4 percent of the organization’s global turnover (annual revenue) or 20 million euros, whichever is higher. The stakes are high and enforcement begins May 25, 2018. I cannot stress enough how important it is for marketers to understand GDPR and begin preparing for it NOW.
 
In the report, I distilled the sections of GDPR that apply to marketing, provided examples and an action plan to help marketers prepare for GDPR enforcement. A few privacy experts, such as my brilliant colleague Steve Wilson, reviewed the content and contributed a parallax. I met Aurelie Pols via Twitter, and she provided valuable feedback as well. I also reached out to marketing technology providers and asked them to contribute a tip or best practice to the report. I’m thrilled that many responded and provided their actionable advice to marketers. My sincerest thanks to Steve, Aurelie, the marketers I interviewed, and the teams at Act-On, Adobe, Gigya, IBM, Marketo, Oracle, Salesforce, SAP Hybris, and SAS for their contribution!
 
Here is an overview of the report’s table of contents:
 
  • Executive Summary
  • GDPR Compliance Has Massive Implications for Organizations with Business Interest in the EU
    • What is GDPR?
    • What Constitutes Personal Data?
    • What Marketers Need to Know About GDPR
  • Coordinate with Internal Stakeholders
  • Five-Step GDPR Preparation Checklist:
    1. Appoint a GDPR Lead or Team within Marketing and Review Data Handling Procedures
    2. Actions to Take When Collecting Personal Data
    3. Actively Manage Existing Contacts and Leads in a Database
    4. Update Privacy Policy Regularly and Notify Proactively
    5. Design a Data Breach Plan
  • GDPR Compliance Advice from Marketing Organizations
    • Act-On
    • Adobe
    • Gigya
    • IBM
    • Marketo
    • Oracle
    • Salesforce
    • SAP Hybris
    • SAS
  • What’s Next? Artificial Intelligence for GDPR Compliance?
  • Author’s Note
  • Parallax Point of View by Steve Wilson, Constellation’s Security and Privacy Analyst
To access the report or download an excerpt please visit: http://bit.ly/2z3ooYS.
 
If you are a marketer from our end-user Constellation Executive Network community, leave me a comment below and I’ll send you a courtesy copy.
 
Lastly, a quick disclaimer... I am not an attorney and this report was not intended to replace legal advice. Please work with your legal and privacy teams to ensure compliance.
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Beyond The Hype of Blockchain and Distributed Ledgers

Beyond The Hype of Blockchain and Distributed Ledgers

Learn from visionaries who are pioneering the future of block chain and understand how they are pushing the limits beyond human comprehension. Get the real view on synchronous ledgers.

https://events.bizzabo.com/203850/agenda/session/170129
Susanne Somerville
CEO
MediLedger Project

Matthew Kerner
Partner GM
Microsoft Corporation

Aron Dutta
CEO, Founder and Chairman
VAPHR Inc.

Steve Wilson
Principal Analyst
Constellation Research

Brian Behlendorf
Executive Director, Hyperledger
The Linux Foundation

Paul Puey
CEO / Co-founder
Airbitz

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C3IoT Analyst Day - A unique approach to PaaS needs more adoption

C3IoT Analyst Day - A unique approach to PaaS needs more adoption

We had the opportunity to attend the first C3IoT analyst day at their headquarters in Redwood City. The office itself is worth mentioning as it’s a nice departure from the often bland offices in Silicon Valley, with lots of greenery, a floor crossing light alcove and a lot of wood. 


Here is the 1 slide condensation (if the slide doesn’t show up, check here):


 


Want to read on? Here you go:

Unique model driven architecture – C3IoT has built its platform with integration in mind. While traditional platforms create and then integrate, C3IoT starts with integration to create a new combined data storage, that enables Analytics, Machine Learning and C3IoT Apps. Taking advantage of a type based system, it’s fast and easy for enterprises to integrate their data and then create insight applications. The integration first approach is unique in the enterprise software industry, and acknowledges that no enterprise starts from scratch in 2017 (and beyond).

C3IoT is more than IoT – In contrast to the vendor name, C3IoT’s platform does more than ‘just’ IoT – it very much can power all seven generic next generation application use case that we track at Constellation (next to IoT, Tame the Internet, Revolutionize Inter Enterprise, Data as a Service, Digitize Value Chains, Re-Invent Communication, and Innovate the Human Machine Interface). The vendor will have to clarify its broader scope to the markets, the good news is, that C3IoT already has customers implementing beyond IoT use cases.

Broad platform support – C3IoT made the announcement of supporting AWS at last year’s reinvent conference, by now it has added support for Microsoft’s Azure. No surprise as the C3IoT customer base is formed of large multi-national enterprises, that all have their respective bets on different IaaS. It’s good to see that C3IoT with a relatively small employee base can provide its platform on different IaaS platforms so quickly. On the Machine Learning side, C3IoT is also supporting a wide variety of libraries and is adding more. As typical for these days of Machine Learning, Tensorflow support is crucial.

Good customer adoption – Small companies are not in the cross hairs for C3IoT. The vendor prefers large strategic relationships with large multinational enterprises. But large does not mean slow, as the first use cases with C3IoT go live in a few months, sometimes in a few weeks. Growth of know-how is crucial for C3IoT, so projects are often started in a jointly staffed center of expertise, with a customer’s developers and data scientist gradually taking on more responsibility. During the analyst day two large enterprises had over two dozen employees being trained at C3IoT headquarters. For 2018 the vendor plans to push education in high gear, planning a MooC course.


 

MyPOV

Overall C3IoT has shown that it has an appealing approach and architecture to enable enterprises to build next generation applications. Most PaaS offerings in the market start with build first, integrate next. Enterprise software has been built with that approach for a long time, but that has led to fractioned applications and functional silos. The nature of the C3IoT applications has a strong holistic approach to an enterprise’s data and automation, and therefore requires starting with integration into a data storage (if you wish a data lake) first, then built analytics, Machine Learning or applications on top of that information base. Usually approaches like this took years to build, often being too slow to keep up with the transactional source systems. The fast implementation times of C3IoT customers are encouraging that the vendor has provided a platform that may have broken the tide on this.

On the concern side, C3IoT is a relatively small vendor, with limited resources that must support a large solution footprint and a demanding customer base. Single projects that the C3IoT platform powers typically required a headcount larger than C3IoT’s complete employee base. Truly a David vs a Goliath task scenario, which C3IoT can only solve with scaling know how and 3rd party resources rapidly on its platform. Training customers directly is going to be too slow, so the train the trainer and center of expertise approaches are promising. Adoption by the large SI firms will help, too. But likely C3IoT will stand and fall by the adoption of its planned 2018 MooC offering.

On the flipside, having adoption challenges is a good problem to have for a vendor that has a working platform, products and is well funded. It’s now key for C3IoT to overcome the resource shortage it needs to address to become a truly successful enterprise platform. It has the DNA for it – from architecture, platform, funding and executive leadership. Time to show it in 2018.

 

 

Radical Candor–Be a Kickass Boss Without Losing Your Humanity by Kim Scott

Radical Candor–Be a Kickass Boss Without Losing Your Humanity by Kim Scott

Bad bosses make people miserable. They also kill innovation, stifle growth, increase costs, and create instability. Well-meaning people become bad bosses without even realizing it.

Great bosses have relationships with each of their employees. This relationship is a source of growth and stability for individuals and companies. Anywhere I’ve observed a great boss, I’ve seen the same three principles for approaching this relationship play out. I’ll describe these principles mostly by telling stories, some successes, but also plenty of mistakes—mostly mine. Some are funny, some are painful, and many are plain embarrassing, but they’re all instructive.

Even if your company is nothing like the places I’m describing (Google, Apple, Twitter) and your own boss is a control freak or petty tyrant or simply useless, you can still adopt these three basic principles and become a great boss yourself. I’ll explain how, and why you’ll be happy you did.

On <iframe src="https://player.vimeo.com/video/240314265?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="D3S01 Headliner Keynote: Radical Candor -Be a Kickass Boss Without Losing Your Humanity. @kimballscott" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

The 2017 SuperNova Awards Ceremony

The 2017 SuperNova Awards Ceremony

Join us for the SuperNova Awards and Dinner Gala! The Constellation SuperNova Awards are the first and only awards to celebrate the leaders and teams who have overcome the odds to successfully apply emerging and disruptive technologies for their organizations.

https://events.bizzabo.com/203850/agenda/session/170175

Award Winners https://www.constellationr.com/events/supernova/2017

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The Innovation Brain Trust Panel

The Innovation Brain Trust Panel

Join us for a special night with Change Agents, Innovators, and Disruptors moderated by Jonathan Becher, Chairman of the Churchill Club

https://events.bizzabo.com/203850/agenda/session/170174

Ana Hollinger
Partner
Lakeshore Energy Capital | Block 26

Harry Kloor
CEO
Jupiter 9

Bernt Wahl
Executive Director
Brain Machine Consortium

Aron Dutta
CEO, Founder and Chairman
VAPHR Inc.

Jonathan Becher
Chair
Churchill Club

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