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  • feedwordpress 13:11:14 on 2019/09/30 Permalink
    Tags: , , Kaleido Insights   

    Digital Transformation = Culture & Business Model Change 


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    Digital Directive, Digital Transformation Scope by Kaleido Insights
    Digital Directive, Digital Transformation Scope by Kaleido Insights

    Many companies talk about “Digital Transformation” but use it in a limited fashion, such as: just turning paper into PDFs or using web tools to communicate to customers, but in the end, the core culture, and even business model has changed.

    The scope of digital transformation is wide: In our offering the Digital Directive, we’ve segmented it in seven major modules (each spans multi-departments), for a total of 60 criteria in how we scan this for companies in our Digital Diagnostic offering.

    The seven modules you must analyze include:

    Strategy, Data, Customer Experience, Organizational Alignment, Analytics & AI, People & Culture and Innovation. Data, Customer Experience, Organizational Alignment, Analytics & AI, People & Culture and Innovation.

    In the interviews we’ve completed to generate this list, the most commonly overlooked item is the mindset of workers, managers and leaders to be a “digital first” culture.

    What is a “digital first culture? this means: making decisions based on data analysis, understanding how to harness information and data as a product not just physical assets, rapid iteration, acceptance of failure as a means for progress, and developing a culture that is pliable and nimble. In the end, the company has developed new ways to go to market, resulting in new offerings, and even new business models.

     
  • feedwordpress 17:14:59 on 2019/09/19 Permalink
    Tags: , , Kaleido Insights   

    Introducing: Digital Directive, Benchmark and Roadmap 


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    I’m excited to announce our latest offering, the Digital Directive a digital transformation diagnostic and roadmap.

    After years of research reports, and dozens of meetings with decision makers on our new offering, I’m proud to announce our company, Kaleido Insights is launching a new offering called the “Digital Directive”

    We help digital and innovation leaders at large companies, by benchmarking the digital maturity of a company (over 60 criteria based on our existing body of research), document on a scorecard, and provide an actionable roadmap. A few quarters later, we come back and rescore the company, demonstrating the improvements of the program.

    I’m honored to have partnered with my business partners Jaimy Szymanski, and Jessica Groopman to develop this offering and help companies move forward with their digital efforts. Below are some key screenshots of the offering, and if nou wanted to learn more, please email me at jeremiah@kaleidoinsights,com.

    The Digital Directive Scorecard we provide demonstrates a company’s maturity. Not shown: the customized roadmap to improve a company’s digital efforts,
     
  • feedwordpress 18:00:32 on 2018/09/12 Permalink
    Tags: , Kaleido Insights   

    Research: Get your Company Ready for AI 


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    In a world of fleeting tweets and memes, it’s important to ground your business based on in-depth research. Kaleido’s latest 50-page report on AI Readiness, get your company on the right track as they adopt automation. We offer both a sample at no-cost, and ability to purchase the entire 50-page report.

    I’ve been interviewing many companies on how they’ve been rolling out AI for their customer-facing engagements as well as for customer care use cases. One thing is very clear, they’re experimenting, and in most cases, they don’t have the full support of the rest of the organization.

    My talented business partner Jessica Groopman, has published an in depth 50-page report which gives unseen insights, pragmatic recommendations based off interviews and research on how companies need to be prepared for AI. Surprisingly, much of the readiness isn’t just about getting technology and data cleansed –there’s many cultural, impacts, including preparing employees and even setting up a clear code of ethics.

    Don’t just dump your company’s data and brand into an AI engagement without having a larger program that reflects five different areas:

    1. Strategy: AI-driven transformation begins with ground-up problem-solving, but must be supported by a foundation of governance and aligned with business objectives and enterprise data strategy. While approaches and metrics vary by organizational maturity, customer experience is always true north.
    2. People: Preparing people for AI is as important as preparing data, and it is essential for businesses to prioritize human factors over technological capabilities. Instill the “AI Mindset” across myriad stakeholder groups; foster lockstep coordination between technical and product, and address AI’s limitations and cultural stigma head-on.
    3. Data: Data preparedness is not a linear destination. AI data readiness requires organizations address their broader data strategy and orchestrate data pipelines and resources for ongoing enterprise learning and evolution.
    4. Infrastructure: Decision-making around the technical architecture and integrations required to deploy AI must align with core product strategy, balance reliability with flexibility, and account for rapidly evolving AI software, hardware, and firmware.
    5. Ethics: The mass automation of big data and AI call for a new business competency: a formalized approach to organizational resources, bias assessment, transparency, and ethical preparedness.

    Get the report, and get your company ready for AI.

     
  • feedwordpress 19:47:52 on 2018/01/08 Permalink
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    Report: Blockchain + Internet of Things = Trusted Automation 


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    Download the full Kaleido Insights report.

    Our latest report is out, led by my colleague Jessica Groopman and building off prior blockchain research I’ve conducted. Beyond the cryptocurrency hype, how will Blockchain actually impact business models? When it’s combined with IoT technology, it will give a rise to autonomous systems working strongly.

    Here’s the report “The Internet of Trusted Things: Blockchain as the Foundation for Autonomous Products & Ecosystem Services” where we outline specific business use cases, and how it can impact supply chain, IoT network management, end user authentication, on-demand asset sharing networks, and finally, smart contracts.

    This report is for forward-thinking executives and innovation leaders interested in exploring how distributed ledger technologies support IoT and automation strategies

     

     

     

     

     
  • feedwordpress 22:23:23 on 2017/11/21 Permalink
    Tags: Drones, Kaleido Insights   

    Kaleido Insights’ Impact Analysis on Aerial Drones 


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    By Jeremiah Owyang, Jaimy Szymanski, Jessica Groopman, and Rebecca Lieb of Kaleido Insights.

    Drone swarm. Image from the Internet of Things Institute.

    Drones aren’t just for sci-fi stories anymore. They have practical applications for the military, enterprise businesses, and consumers, and are gaining ever more traction with all segments. But this shift has much broader implications.

    Kaleido Insights’ methodology for analyzing emerging technology assesses the impacts on humans, on businesses, and on ecosystems at large. As part of our ongoing coverage, we’ll be analyzing a series of topics using our methodology to help business leaders first understand, and then see beyond the bright and shiny and cut right to what matters.

    In each post, all Kaleido Insights analysts conduct a joint analysis session around one topic (e.g. technology, event, announcement, etc.). In this post, we analyze the ecosystem impacts of drones.

    Topic: Drones

    Examples: Airobotics, DroneDeploy, Skycatch, DJI, Parrot, Zipline

    Impact Analysis: Ecosystem

    Market Adoption

    The three main segments that currently use drones are the government, enterprise businesses, and consumers. Each segment has adopted the technology at different speeds and for different reasons.

    TWith the government, the military is an early government adopter of drone technology, and is primarily associated with two types of drones: unmanned aerial vehicles (UAVs) and swarms. Enterprise businesses have been slow to adopt drones, but there is an uptick in their adoption rates. Companies like Amazon are filing patents on drones, and industries including agriculture, real estate, and health supplies are using drone technology to operate more efficiently. Even Domino’s Pizza generated buzz last year for delivering a pizza by drone. Drones are also becoming increasingly attractive to end-consumers, mainly hobbyists, due to drone prices dropping and their availability in smaller sizes.

    While the drone market is growing, it’s difficult to quantify the growth rate for a couple of reasons. One factor is because there isn’t a consensus on how to define a drone. According to research conducted by Gartner, drone unit sales grew an estimated 60 percent to 2.2 million last year, with revenue increasing 36 percent to $4.5 billion. Data put out by the Consumer Technology Association suggests that hobbyist drones doubled in sales in the U.S. from 1.1 million sold in 2015 to 2.4 million in 2016.

    Competitive Shifts

    Drone technology is displacing current operational models across sectors. In the mail and package delivery industry, companies like UPS and DHL are confronted with the possibility that drones may do the work of their drivers. Taxi cabs and ride-sharing services are being manned by autonomous cars. Google’s Project Loon is delivering Wi-Fi through balloons.

    Image sources: Mercedes BenzBusiness Insider.

    But the market is responding to these shifts. One example is with Mercedes Benz, which developed a concept of a self-driving van that also acts as a hub and charging station for drones that can deliver goods. Another example is with advertising. Intel used out-of-home (OOH) advertising to spell INTEL with 500 drones at the Super Bowl. Advertising agencies like DroneCast and Hoovy offer “drone-vertising” services. And a Singapore advertising agencyran a test that used drones for hyper-local data collection through public Wi-Fi signals to target customers with contextually relevant, localized ads. Use cases for this type of data collection include surveillance, payload delivery, and military. In addition to advertising, drones are even being used by professional and hobby photographers to capture aerial views.

    Supply Chain

    Drones have the potential to offer significant advantages for supply chains. They can offer last-mile and same-day deliveries, helping foster a positive customer experience due to speedy deliveries. Drone fleets can also be used to track warehouse inventory using RFID tags, helping to track and reduce the number of lost supplies. The U.S. Army lost track of $5.8 billion of supplies in its warehouses between 2003 and 2011 and in 2015, the U.S. National Retail Federation reported losing track of an average of $45.2 billion of items annually.

    Ecosystem Partnerships & Integrations

    Image sources: CIO Bulletin.

    The practical applications of drones are driving companies to enter industries and create partnerships that may not have been perceived as a natural fit in the pre-drone era. In 2016, Zipline entered the medical arena by partnering with the Rwandan government to deliver medical supplies via drones. An early commercial test cut the amount of time for a medical facility to obtain blood from four hours to 15 minutes. After success in Rwanda, Zipline is now partnering with the Tanzanian government to offer similar, life-saving services beginning in 2018. But the partnership doesn’t end there. Now UPS is working with Zipline and the Gavi-Alliance to provide logistics expertise to help Zipline deliver medical supplies in remote areas.

    Drone technology is also being developed by e-commerce giants. Companies like Amazon are developing drones to safely deliver packages to customers in 30 minutes or less. China’s second largest e-commerce company, JD.com, is developing a drone that can deliver loads weighing one ton or more.

    In order for this technology to be fully realized, drones will need to be autonomous, moving safely on their own. Companies are already working on this problem. Microsoft, for example, created open source software, available on GitHub, to train drones and self-driving cars on real-world conditions, including shadows and reflections.

    Related to safety, Amazon is asking the government to designate special airspace for them to fly their drones at an altitude that separates it from commercial and military flights. Qualcomm is testing drone technology at their FAA-authorized UAS Flight Center. This is a test environment that replicates real time conditions in commercial, residential, rural and FAA controlled airspace. In Denmark, the International Test Center & Clusterincludes dedicated airspace nearing 540 square miles that covers land and sea.

    Drones also have the ability to collect information at the ‘big data’ level by capturing images of homes and landscapes, which can then be used in innovative ways. Technology patented by Amazon would allow the company to scan and collect data from the houses their drones pass, which could then be used to let customers know if they have a damaged roof or sick trees. And companies like Skycatch use drones to survey property and turn the data into maps and 3D models.

    Aerial drones also have implications for defensive measures. They can monitor the landscape for security and safety in terms of border control, police activity, customs, civilian protection, natural disasters, and environmental protection. Moreover, a counter-drone industry has emerged with about 70 companies working on the goal of disabling or shooting down other drones.

    Developer Ecosystem

    Open source drone projects are now a major method for developing drones for a number of reasons, including the ability to rapidly develop features and functionality, the cost-effectiveness, and their ability to provide a community where bugs can be resolved quickly. DroneCode Project, owned by the Linux Foundation, is one of the main players in the open source realm. But private companies have their own open source ecosystems, too, like Microsoft(mentioned earlier in this article) and DJI.

    One key area that developers and researchers will need to address is in creating autonomous drones, ones that know where they are, what is is in their path, and can then use this information to move safely and correctly. This technology, called Simultaneous Localization and Mapping (SLAM) is being addressed by companies like Exyn Technologies and Parrot. In conjunction with SLAM, drones will need to be able to communicate with one another so they don’t collide. Qualcomm is testing 5G cellular technology for this purpose.

    Sustainability and Societal Impacts

    While drones offer the potential for a multitude of benefits, they also encompass drawbacks. A large issue revolves around privacy, with concerns that sensitive information or geographic areas may be captured from aerial drones and shared with unwanted parties, or that people may be spied on with facial recognition software. Physical safety is another area to consider when drones are used near airports.

    Drones also have an impact on the environment in terms of noise pollution. A preliminary study from NASA indicates that a drone’s buzzing is perceived to be more annoying to people than automobile noises, even when the volume is held constant. This confirms the demand for quieter drones which are now entering the market.

    Many drones are currently powered by lithium batteries, which aren’t ideal power sources for a couple of reasons. First, they must be disposed of at special recycling centers due to their negative impact on the environment. Second, they don’t generate enough power for drones to reach their full potential. Some alternative power sources that are being considered are oil-fired engines, a hybrid gasoline/electric solution, and hydrogen-burning fuel cells — not all of the alternatives under consideration are “clean energy.”

    Market Funding

    There are several corporate funders on the drone scene, with the big ones being Lux Capital, Qualcomm Ventures, Andreessen Horowitz, and Felicis Ventures. As of March of this year, the Wall Street Journal reported that venture capitalists already invested $200 million on the global drone market. Some of this money is being funneled into services that track and deter drones that are being used for negative purposes. Droneshield is an example of a company that provides drone deterring services.

    There is also an opportunity for drones to receive funding for sports and entertainment. Amateur drone racing through the Drone Racing League (DRL) raised $20 million in Series B funding from Allianz, Sky, Liberty Media Corporation (owner of Formula 1 racing brand) and Lux Capital. More than 75 million fans watched DRL races, either online or on TV through networks like ESPN.

    International Regulatory Regimes

    With the rapid pace of drone technology advancements and more end-consumers using the technology, some governments are requiring drone registration and others are partnering with the private sector to use drones effectively. In the U.S., the FAA has the “line of sight rule,” which requires drone operators to keep unmanned aircrafts within their line of sight at all times, along with rules for pilot certification in instances where drones weigh more than .55 pounds. Many states also enacted their own laws to protect privacy and prevent interference with hunting. The Portuguese government is planning to introduce “free zones” where drone technology can be developed and tested more easily through special regulations and investment incentives. And, Amazon is partnering with the UK Civil Aviation Authority to test drones for Prime Air delivery service, which goes beyond line of sight in rural and suburban areas.

    Like mobile phones, drones offer a growing ecosystem and are following the smartphone app/developer model. But, before the drone industry can realize its potential, it faces a few barriers it needs to address. First, drone data needs to be able to integrate within a network and drones must be able to coordinate with one another (drone to drone communication). Then, there are the physical limitations: sun/weather/wind/battery. And finally, drones set up many legal and regulatory issues because the technology will move faster than regulators can move, meaning the drone space will continue to be wild west.

     
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