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Technology adoption patterns & trends - 2019 and beyond

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Technology adoption paradigm is shifting rapidly. 2019 brings new hopes and opportunities around adoption of Machine Learning, Artificial Intelligence, Blockchain, Biometrics, etc. across IT initiatives. Here is brief overview of technology trends and adoption patterns in 2019 and beyond.

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Technology adoption patterns & trends - 2019 and beyond

  1. 1. Technology adoption patterns & trends – 2019 and beyond… Perspective and point of views around key technologies, their potential maturity journey throughout 2019 and typical adoption patterns across the enterprises. Swarraj Kulkarni | swarraj@gmail.com | These are my personal thoughts & I do not represent any of my employers and clients - present or past. Photo by Ales Nesetril on Unsplash
  2. 2. • Views expressed in this presentation are my own and I do NOT represent the views of any of my employers or clients present or past. • Publicly available information either from technology product vendors, Industry Analysts or from fellow technologists is referred as appropriate to build these views or form opinions. • I acknowledge their contributions and have mentioned specific / relevant sources in the slides as well as in the reference section. 2
  3. 3. Context Technology has been always considered as business enabler but the attention it has gained in recent past is unimaginable. Art of possibility and implementation feasibility of ideas which business stakeholders discuss in the board rooms are being successfully demonstrated as working POCs, MVPs and systems running in production. Technologies and technology driven services are creating opportunities for innovative business models, defining new playbooks for customer interactions and building engaging digital experiences for internal and external clients alike. Gartner has projected global IT spending to be $3.8 trillion in 2019, an increase of 3.2% from expected spending of $3.7 trillion in 2018. Gartner had also pointed out significant spending patterns across projects in AI, ML, IOT, Big Data, Blockchain and Digital projects which are main drivers of the growth. Technology adoption paradigm is shifting rapidly. This shift is being fueled either through never ending customer expectations or growing pressure of applying levers to reduce operating cost of IT functions. Customers are aware that their individual attributes and behavior data is being used by businesses service providers and expect highly sophisticated and hyper personalized service in return at lower cost and in secure manner. 3 Organizations are harvesting and processing Terabytes of data to decipher customer insights and building analytical models to give improved customer experience. Deep learning techniques and AI have made strides by proactively meeting customer expectations. On the cost and operating efficiency front, Cloud has been already adopted by businesses. Concerns around data security and regulatory restrictions are fading away with significant pace. Blockchain and smart contracts have gained significant traction in last few years and 2018 has seen some serious adoption of it across different domains. Cyber security and digital identity are major concerns which are not just limited to individual organizations but have reached to national level. 2018 has seen many of these technologies and adoption patterns getting matured and crossing entry barriers. 2019 brings new hopes and opportunities for improving established footprint and implementing innovative use cases and at the same time push back and tackle other challenges on the way. This brief presentation is an attempt to highlight key paradigm shifts, technology enhancements and adoption patterns we can expect and experience in 2019.
  4. 4. Crossing the chasm : 2019 will be the year to make that transition 4 Innovators Early Adopters Early Majority Late Majority Laggards Chasm In his book ‘Crossing the Chasm [1]’, Geoffrey Moore pointed out typical technology adoption life cycle and the ‘chasm’, which is the phase between technology early adoption and it’s majority adoption. While many Digital technologies like Cloud, API, mobile, and Analytics have reached certain maturity level and by now their adoption status across the enterprises is either in ‘early majority’ or ‘late majority’, there are still few promising technologies like Blockchain, ML/AI, biometrics and IOT where exploration and experimentation is still going on. 2017 and 2018 seen some ‘early adoption’ with success, 2019 will see their transition across the chasm and get them into ‘early majority’ adoption state. Highly regulated industries like Banking and Insurance will continue to be cautious but aggressive in 2019. Obviously to cross the chasm, enterprises need to identify valid business scenarios and use cases, collaborate with partner ecosystems, educate and engage with customers and expect support from the regulatory bodies. While CIO/CTO organizations are investing into their internal innovation units, to accelerate the process 2019 will see great traction and collaborations with FinTech and RegTech. It is equally important to review and validate completeness and functioning of already adopted technology initiatives and their critical impacts on business outcomes. 2019 will see greater focus on extracting learning from such initiatives, standardization and resiliency improvements across the IT units. Though many Digital technologies are in ’early majority’ or ‘late majority’ adoption state, niche technologies like Blockchain, AI , advance biometrics and IOT are being experimented and expected to cross the chasm in 2019…
  5. 5. Transformation Initiative’s alignment with business objectives & impact on outcomes : Typical traits, sentiments & corrective actions Initiative Outcomes Early Majority Late Majority Overall Positive + Clarity in business vision and expected outcomes + Chosen valid business scenarios and use cases + Substantial investment in technology validation + Collaboration with internal / external tech SMEs + MVP and incremental approach involving business SMEs + Learned and followed early adopters + Followed set guidelines and best practices + Focused on differentiators on established tech stack + Onboarded SMEs with hands on experience + Substantial investments on proven tech stack/products Neutral o Need to validate expected outcomes and associated traceability o Need to Review use cases and constrain overall scope o Should involve business stakeholders and end customers o Need additional time to collect data points o Review tech stack, products and team skills Overall Negative - Need to review & alter business scenarios / use cases - Need to optimize, fine tune technology investments - Seek help from external SMEs & product vendors - Need to focus on stakeholders / end users education - Capture feedback from team on the ground - Missed learnings from early adopters - Redefine scope, value differentiation, priorities - Consolidate & optimize tech stack - Seek help from external SMEs & product vendors - Success stories socialization w internal / external users 5 Digital rewards first movers and some superfast followers. They develop a learning advantage. They relentlessly test and learn, launch early prototypes, and refine results in real time. They are often pushing ahead on version 3.0 or 4.0 offerings before followers have launched their “me too” version 1.0 : McKinsey.com – Why Digital Strategies fail [2]
  6. 6. In 2019, enterprises will continue exploration, adoption, review and improvements across these key paradigms & technologies 6 Digital Enterprise UX & Usability Engineering Cloud native app dev Public Cloud & services Digital Identity & Biometrics FinTech, InsureTech Machine Learning & AI Blockchain IOT / Smart Sensors Unlearning & Learning Next Gen Programming & by Freepik from www.flaticon.comIcons made by Smashicons from www.flaticon.com
  7. 7. 1. Enterprise UX & Usability Engineering will play critical role in being digital • Next gen digital products and enterprise applications will cater to traditional desktop and mobile devices as well as to the voice, AR/VR consoles, partner intelligent systems and IOT interfaces. Role of Design Thinking (What Is–What If–What wows & –What works) will become more significant in 2019. • There will be significant advancements in UX maturity levels across serious ‘digital focused’ enterprise IT initiatives. These enterprises understand importance of UX and have senior executive commitments and involvements in defining UX strategies over last few years. • As presented by JJ Kercher [3], on the Johan Berndtsson’s UX maturity model these enterprises will aim to achieve maturity level 5 (Engaged: UX is one of the core tenets of the organization strategy) or level 6 ( Embedded: UX is in the fabric of the organization, not discussed separately). • Bringing balance between automated (pre-scripted) chatbots and insights/AI driven intelligent conversation will be major focus for engaging end users and improving UX [4]. • Voice activated & voice command technologies will continue to grow [5]. By 2020 around 50% of search engine queries will be performed through voice commands. Voice User Interfaces and Conversational AI (Amazon Alexa, Google Home) adoption across business domains and scenarios will continue further. • UX researchers will continue to demonstrate digital future capabilities and possibilities. Questions around ROI on UX will get diluted with significant proofs and working MVPs. UX researchers, UX engineers & UI developers will become an integral part of the strategy & agile dev teams. Transition from just consultants to true change agents across initiatives. • Enterprises will have holistic focus on ‘Usability Engineering’ with right level of involvement from end clients and internal stakeholders at all levels and across all stages of UX lifecycle. 7 AI ML Preferences Hyper personalization AI ML Preferences GUI / VUI API / Integration Mechanism Systems IOT User centered design & intelligent Interaction Domain context Role based access & experience Business Services SORs / Data / Backend Systems Icons made by Freepik from www.flaticon.com
  8. 8. 2. Cloud native app dev will become norm for almost all greenfield apps • Enterprises adopted microservices, API & container technologies for green app development as well as for app modernization purpose in 2017/18. Initial concerns and doubts around scope and boundaries of bounded contexts, granularity of services, data architecture in new paradigms and security have relatively faded out. Patterns and anti-patterns have established themselves through successful implementations of several large scale complex programs. • In 2019 and beyond, cloud native app dev will be a norm for almost all green field and app modernization initiatives to be deployed either on private, hybrid or public Cloud. • As pointed out in IBM’s 2018 research focused on the adoption of the cloud-native dev model across 152 enterprises respondents [6], 55% of apps developed in next 12 months will be designed as cloud-native. 75% of existing non-cloud apps will move to cloud environment in the next 3 years. And 66% of companies overall are exploring cloud-native app development model. • According to Cloud Native Computing Foundation [7], use of cloud native technologies in production has grown over 200% in 2018 itself. 40% of their survey respondents are running Kubernetes in production. In 2019, this adoption will see new heights. • DevOps assembly lines adoption will continue growing across enterprises. As architectures are becoming micro, complexity will continue shifting towards process automation & tools. • Based on Collabnet’s 12th ‘annual state of agile’ report [8] agile adoption across enterprises is expanding with “all or almost all” teams on agile, there is still room for agile maturity. Internal agile coaches, consistent practices and process across teams, implementation of common tools are helping enterprises in scaling agile. Enterprises will continue this momentum in 2019. • Full Stack Developers with niche skills around technologies, tools and processes will be in high demand. Agile Program managers, SCRUM Masters, Product Owners and FSDs will be key resources for successful implementation & delivery of next gen cloud native digital products. 8 DevOps assembly lines Container / PaaS Platforms Microservice Microservice Agile app delivery Highly available Highly Scalable Highly Performing Modular & maintainable Self healing capable Resilient Flexible Support polyglot Autonomous Cloud native app typical characteristics Icons made by Freepik from www.flaticon.com
  9. 9. 9 3. Public Cloud APIs & services to build enterprise apps will get accelerated • Leading public cloud platforms have built niche technology capabilities and infrastructure services that enables developers be innovative and agile – critical aspects to be competitive and front runners in the Digital economy [9] [10] [11]. Accelerates ideation to productization cycle • Niche technology services across AI/ML, Blockchain, IOT, Databases, Mobile etc. are available for rapid prototyping & app development at low cost. Reliability, scalability, availability and other non functional considerations are taken care by underlying infrastructure capabilities. • Building cloud native apps with serverless technologies, assembly and configuration of niche service capabilities and integrations across them to build complex enterprise apps will continue further in 2019. Platform providers are focusing on development and management tools of such applications and that will accelerate overall adoption pace. • On AWS, there are 10,000+ customers using ML services. More machine learning happens on AWS than anywhere else. Google is also leading efforts to simplify and democratize AI/ML for the mainstream business use. With shortage of required skills in AI/ML field, businesses will continue adopting trained ML models by these providers & use own data for custom solutions • In re:Invent 2018, AWS announced it’s managed blockchain service to easily create and manage scalable blockchain networks using Hyperledger Fabric and Ethereum. Google has partnered with blockchain-focused firms Digital Asset & BlockApps to offer distributed ledger technology frameworks on GCP. 2019 will see results of these initiatives. • Microsoft Azure offers 100+ services and broadest set of hybrid capabilities and consistency across on cloud and on premise applications. Tools like Visual Studio integrated in DevOps ecosystem can improve developer productivity and help accelerate time to market. • Enterprises will continue with multi cloud platform strategy and evaluate service capabilities fitment in their solution context, workload technology alignment, de-management tools and associated cost. 2019 will see enterprise solutions being built on such capabilities & services. Management Tools Developer Tools API Management Collaboration Security Storage Network & Content Robotics Media Services Mobile IOT Blockchain Compute Database Analytics ML
  10. 10. 4. “AI first” strategy will drive almost all enterprise IT initiatives 10 • Mature Enterprises will adopt “AI first” strategy for their enterprise IT initiatives similar to Google[12] and Microsoft[13]. Artificial Narrow Intelligence (ANI) based apps focusing on specific set of Data and use cases will set foundation for adoption of advance forms of AI. • Cloud infrastructure from AWS[14], Google[15], Microsoft[16], etc. and AI optimized ML/DL Chips and instruments from Intel[17], Nvidia[18] etc. will accelerate AI adoption at scale. • Repetitive and routine jobs are already being automated through RPA initiatives. RPA and AI together are bringing cognitive automation to the enterprises[19] which may replace and create new set of jobs for the workforce. • Conversational AI and voice enabled intelligent chatbots will continue transforming customer experience. Personalized ‘Next Best Interactions’ will improve customer satisfactions. • 2019 would also see simplification and standardization of ML/AI initiatives, frameworks and technologies through consortiums and open source initiatives. OpenAI [20], AutoML[21], Open Neural Network[22], Linux Foundation[23] etc. will see traction and improved adoption. • End customer-facing AI applications will continue having ethical, bias, influence etc. related issues[24]. Enterprises will continue bringing decisioning transparency & customer education. • Availability of ML/AI talent will continue to be an issue across Data Scientists to developers. • Solutions providers like Google[25] and Nvidia[26] will lead market of Industry specific AI bundle for enterprises. Readymade solutions around customer experience, patient data management, shopping experience personalization etc. will help accelerate time-to-market. • AI has huge impact on mankind. We may see potential collaboration and partnerships between research oriented countries and application oriented countries for evolution and adoption of AI for betterment of human being. Similar to Finland’s AI education initiative[27], countries will drive mass initiatives to educate their citizen on AI and technology in general. Big Data Ecosystem Machine Learning / Deep Learning ANI AGI ASI Optimize Automate Recommend Influence Guide …and more Icons made by Freepik from www.flaticon.com
  11. 11. 5. Digital identity & biometrics with stepped up authentication models will see increased adoption 11 • According to the new market research report by MarketsAndMarkets, the biometrics system market is estimated to grow from USD 16.80 billion by 2018 to USD 41.80 billion by 2023 at a CAGR of 19.99% between 2018 and 2023 [28]. • Biometrics will be adopted inside the enterprise as well as outside for authentication purpose. Advancements in associated technologies will improve matching speed, performance, overall security and user convenience[29]. • According to NIST’s report, facial recognition algorithms can identify matches with error rates as low as 0.2% given good quality photos. 20 times better than what they found five years ago[30]. 2019 and beyond will see updates & adoption of such advanced algorithms. • Fast Identity Online (FIDO) [31] specifications around passwordless universal authentication, 2nd factor authentication, Web authentication (WebAuthn), and CTAP across mobile and web environments will see wider adoption. Broad set of enterprises and product vendors will join FIDO consortium in 2019 and collaborate on universal specifications. • New versions of smartphones and web browsers will be equipped with biometrics and facial recognition features[32]. • Critical use cases requiring high security will see multimodal biometrics with combination of iris scan, voice, fingerprint & facial recognition in AND / OR formats. With geographic coordinates, these authentication combinations can step up for location based security. • As biometrics and facial recognition systems see wide adoption across financial institutions, airports, home security, healthcare applications, etc., there would be continuous discussion on transparency, regulatory control and ethical usage of such technologies [33]. • Research and innovation around applications of biometrics in regular life will see interesting scenarios like Amazon Alexa to passively detect signs of illness and recommend remedies and Walmart for connected shopping cart that can detect heart rate, palm temperature, etc. [34]. Icon made by Smashicons from www.flaticon.com Mobile Device Desktop / Laptop Registration Retina scan, voice, facial recognition, finger prints… Passwordless Authentication Second factor Authentication Multi factor Authentication
  12. 12. 6. Blockchain - serious investment is expected to go up with fading doubts 12 • 2018 seen adoption of distributed ledger technologies in enterprise applications, except few success stories, most of the experiments resulted in learnings. 2019 will see serious considerations of distributed ledger / smart contracts based decentralized applications across enterprises. Blockchain projects are expected to cross R&D stages to get into pilot and production and start delivering promised benefits [35]. • Concrete use cases will get further scrutinized and funded for serious implementations. Financial services, manufacturing, supply chain and energy & utility will be the key business domains for blockchain adoption [36],[37] . • As announced in October 2018, collaboration between Enterprise Ethereum Alliance and Hyperledger will help in advancing global blockchain business ecosystem [38]. This relationship will help evolution of these technologies as well as contribute to growth of both developer communities. • Cloud based platforms, solutions, services and developer productivity tools for writing blockchain / decentralized applications will see adoption across enterprises. Examples include Amazon managed blockchain, Amazon QLDB [39], Azure Blockchain Development Kit [40], and IBM blockchain platform[41], SAP blockchain solutions [42] . • Cryptocurrency will have its own challenges on acceptance & strict regulations from different governments across geographies. Though there are hopes that cryptocurrency will get accepted as general financial instrument, 2019 will be too early to see any results. Icons made by srip from www.flaticon.com Icons made by Freepik from www.flaticon.com Decentralized secure app ecosystem
  13. 13. 7. FinTech, InsurTech & RegTech will get highest priority on every CXOs charter 13 • Technology startups with lean operating structure will continue building niche technology products around AI, blockchain, RPA, etc. to address very specific business needs. Their struggle of engaging with legacy financial institutions to understand business processes and to access data is expected to go down in 2019. Evaluation to onboarding cycles were longer so far but can see acceleration in this process due to competitive pressures. • According to CBInsights’ Global Fintech Report Q3 2018, VC backed Fintech companies raised $5.64B across 375 deals globally. Aggregate Fintech unicorn valuation tops $115B. More than competition, legacy financial institutions & Fintech will see value in collaboration[43] . • In 2018, the top US 11 banks by assets participated in a total of 49 equity rounds to Fintech startups mainly for a)high up-side returns and b)strategic partnerships. Banks have either partnered or acquired fintech in automation, blockchain, personal finance, wealth management, etc. [44]. This trend will continue in 2019 as banks offer alternate products or integrate Fintech offerings in their product to bring value differentiation for their customers. • InsurTech funding was on record breaking 2018 with $2.56B in investments YTD [45] across in health, home, auto, life and B2B insurance startups. 2019 will be make-it-or-break-it year as these startups will need to begin demonstrating Insurance business transformations[46] . • Both financial institutions as well as regulatory bodies need to process huge data and analyze reports in defined time periods. Big Data, ML, AI based analysis and reporting across transaction monitoring, risk management, compliance, and regulatory reporting has become very critical. New mandates and regulations around payments (PSD2) and data security (GDPR) in Europe have increased overall complexity. 2019 will see evolution and adoption of RegTech for improving accuracy and efficiency of their operations[47] [48]. • RegTech will help financial institutions improve their operating model which will result into improved productivity and efficiency. RegTech will help mitigate compliance and operational risks that will result into sustainability and business continuity [49]. Payments Personal Finance Lending PFM Cryptocurrency KYC / AML Risk Mgmt Claims Fraud Reporting Banks Insurance Regulators Icons made by Freepik from www.flaticon.com Icons made by geotatah from www.flaticon.com
  14. 14. 8. IOT and smart sensors adoption will continue and see new use cases 14 • The global IoT market is expected to have a CAGR of nearly 27% from 2018 to 2024. Overall the market is expected to grow to $6.5 trillion in 2024[50]. Factors driving the IoT market includes declining cost of smart sensors and better cost efficiency in data processing. • Smart Cities, Connected Industry, connected buildings and connected Health are the top IoT adoption segments [51]. Other IoT adoption segments include smart supply chain, connected car, smart retail and smart agriculture. This trend will continue in 2019 and beyond. • Connected devices proliferation will continue at accelerated pace. According to CBInsights estimate, by 2020 the average person will generate 1.5GB worth of data per day[52]. • Considering the connectivity challenges, data volume and speed of decisioning requirements, adoption of edge computing with either specialized chips [53] or solutions like AWS Greengrass[54], Google Cloud IoT Edge[55] & Microsoft Azure IoT Edge[56] will go up in 2019. • Technavio report on industrial wearable market forecasted growth of over 10% through 2021. The 3 trends are driving this growth – Digitization & automation, focus on workforce safety & efficiency and, growing adoption of smart sensors [57]. This trend will continue beyond 2019. • An intelligent enterprise that leverages ties between the physical & digital worlds that creates better customer experience, drive operational efficiencies or enable new business models – Tom Bianculli, CTO Zebra[58]. According to Zebra Technologies survey across 918 IT decision makers from 9 countries, 49% are on the path of becoming “intelligent enterprises”[59] . • End to end IoT solutions [60] across domains and solution accelerators[61] will continue to grow in 2019 and beyond. • Considering cyber security threats, nature of data collection and storage IoT devices and systems carry out, there will be major push on security as well as regulatory and compliance aspects. Worldwide IoT security spending from $1.5B in 2018 will go up to $3.1B in 2021[62]. Both vendors and users will have to be aware and mindful of nature of data collection and storage. Business apps : Data aggregation, analysis & visualization User Interfaces Icons made by Freepik from www.flaticon.com
  15. 15. 9. App developers & Architects will continue unlearning and learning new paradigms 15 • As the end user expectations and business demands are continuously growing, architects and developers will have to continuously upgrade their skillset and master latest architecture paradigm and technology stack to implement business solutions & address such needs. • Full stack developers will be in demand who can understand tech stack, agile processes, test methodologies and are familiar with domain constructs[63]. • Architects and developers will have to go through exercise of unlearning and learning to be competitive in new age tech paradigm. Self-learning through online MOOCs providers like Coursera, edX, Udacity and Udemy will continue to be most efficient sources. Universities across the world are opening up their technical courses online as well. • For practical hands-on experience across niche technologies, several online resources similar to Linux Academy, QWIKLABS for cloud, Neptune.ml for machine learning will emerge. • To be competitive in labor market, most of the organizations will focus on reskilling / upskilling initiatives [64] for their resources with specific incentives associated with top performers. • In addition to learning individual technology stack, Architects will have to think through and master skills of blending multiple technologies together for addressing complex solution needs. For example, implementing complex machine learning or blockchain projects on Cloud platforms and integrating them with on premise legacy applications. • As trend of FSD based agile app development is growing, along with technology skills, developers will have to master skills of working in smaller, focused teams, own end-to-end accountability of the product and need to be agile, collaborative, and performing in sprints. • As Digital technologies especially ML/AI, Blockchain, IOT are going to be here for long time, developers can define their individual learning roadmap and stick to it and achieve required specialization. These technologies will see maturity improvements and standardization in 2019 / 20. 2019 will be the right time to latch on them and build career. !?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?! ?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!? !?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?! ?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!? !?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?! Unlearn Learn Adopt Align Practice Master Data, ML, AI Public Cloud Blockchain Cybersecurity Biometrics FinTech / RegTech Microservices / API IOT / Sensors PaaS / Containers DevSecOps Languages / Frameworks Icons made by Freepik from www.flaticon.com
  16. 16. 10. And top 3 programming languages developers must not ignore in 2019… 16 • Technology and technology frameworks are continuously evolving. Programming languages, frameworks and libraries with capabilities specifically meant for ML/AI, Blockchain, advance user experience, IOT etc. are emerging. Though there are several such programing languages available, developers should not ignore JS (suitable frameworks), Python & Solidity in 2019. • JavaScript based development of Web app, server backend, desktop and mobile apps supports multi-platform development of complex apps. NodeJS, Vue, Angular and React will see wide adoption in 2019. • Sate of JavaScript survey across 20,000 developers across globe[65] found Vue.Js (front end framework), GraphQL (Data Layer) and Next.JS (back-end framework) as prominent frameworks. Developers wish to work on these frameworks in near future. • Python is a general purpose language used across Data Science, ML/AI, Web apps, gaming, etc. Web frameworks like Django, Flask and Data analysis, ML libraries like TensorFlow, Scikit- learn and pandas are here to stay for long time. Also, IOT Device SDKs for cloud platforms like AWS are available in Python. As developers see value of learning one programming language and applying it across multiple popular areas, there will be surge in learning this language in 2019 and beyond. • Blockchain apps with smart contracts written in Solidity language and running in Ethereum VM will see wide adoption. Solidity is OO high-level language which was influenced by C++, Python and JavaScript. Considering its statically typed nature, developers can catch errors while they type and hence compared to other options [66] for blockchain development, Solidity is a most popular option and continue to remain same in 2019. Solidity JavaScript Python
  17. 17. 17 ? So what…
  18. 18. Key Inferences… 18 USER EXPERIENCE • Need to build / enhance apps to interact with systems & Users across multi form factor devices and formats – AR/VR, Voice • Need to focus on engaging digital experience driven through insights (AI/ML) • Growing demand of skills around Design Thinking, usability engineering and experience design • Need to upgrade UI/VUI/ VR/AR design skills. • Need to master latest JS UI frameworks APP DEV PARADIGM • Replicate cloud native arch/ tech paradigm across LOB & enterprise consistently • Green / brown field dev through microservices, API, DevOps, containers (Docker, Kubernetes), PaaS, & private / public Cloud • Need to unlearn & learn next gen FSD paradigm • Master skills around MSA / API, DevOps , Cloud and modular, scalable product engineering techniques • Sharpen skills of working in small teams in agile model CLOUD • Public Cloud platform capabilities and service offerings across AI/ML, IOT, Blockchain are maturing and can accelerate pilot and serious adoption across enterprise. Need to provide serious attention. • Build capabilities across AWS / GCP / Azure service offerings and accelerators • Master patterns / anti- patterns and integration techniques across cloud and off-cloud legacy ecosystems BLOCKCHAIN • Need to follow success stories to replicate & also identify real use cases for DLT / smart contracts based business applications • Can accelerate adoption journey through cloud based blockchain platforms • Learn, master leading DLT framework, smart contracts constructs, programming languages & Cloud service offerings in this space • Explore pilot / adoption of blockchain + IoT, blockchain + digital identity, etc. AI/ML • Need to follow success stories to replicate & also identify real business scenarios for AI/ML • Acceleration through proven platforms, models & algorithms with business context through own data • Need to learn, master AI/ML capabilities from the cloud platforms • Explore opportunities of AI application across business domains. • Learn, master skills around AI + RPA, AI + Voice, etc. ENTERPRISESDEVELOPERS Icons made by Freepik from www.flaticon.com
  19. 19. Key Inferences… 19 Biometrics • Follow success stories & identify real use cases for biometrics adoption • Follow FIDO consortium initiatives & specifications • Educate end users on biometrics as appropriate • App design for biometrics • Understand FIDO UAF/U2F specifications • Explore FIDO compliant products & implementation / integration opportunities • Track / follow biometric evolution – especially facial recognition techniques IOT / SMART SENSORS • Follow success stories & identify real use cases in the business context • Explore cloud IoT platform capabilities for for overall acceleration purpose • Review, follow IoT security initiatives & products • Learn, master Cloud IoT platforms & services • Focus on Edge computing & major vendor service offerings • Track trends and technology evolution including smart sensors / 5G connectivity etc. FINTECH/INSURETECH • Track Fintech / InsurTech / RegTech in business context and explore opportunities for alliances, investments or acquisitions • Collaboration with FinTech / InsurTech is the key to success than competition • Follow Fintech / InsurTech / RegTech momentum • Explore opportunities for evaluating niche products / offerings in blockchain, AI/ML, IoT areas • Be active proponent / advocate to onboard genuine offerings LANGUAGES • As programming paradigm is changing, make internal developers aware of what is coming at the enterprise level, mentor them, groom them and provide them opportunities to learn and upskill themselves • Cross-skill / Up-skill is absolutely necessary • Focus on programming paradigm / languages like JavaScript, Python & Solidity which are popular and powerful in next gen app development space UNLEARN-&-LEARN • Create ecosystem of continuous learning with rewards & recognition to motivate masses • Make developers aware of next-gen app dev paradigm and instill need to up-skill technology know-how • With changing paradigm, developers must upgrade skills with focus on what is popular & in demand • Self learning through MOOCs, Product vendor educations & technology meetups is essential ENTERPRISESDEVELOPERS Icon made by Smashicons from www.flaticon.com Icons made by Freepik from www.flaticon.com
  20. 20. Reference [1-of-3] 20 1 Crossing the chasm https://www.youtube.com/watch?v=A2LRFhqi0zw 2 Why Digital strategies fail https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/why-digital-strategies-faiL 3 JJ Kercher – A roadmap for maturing design in the Enterprise https://www.youtube.com/watch?v=mbLSD04kZRM&index=11&list=PLS-xE0iEIwRmJLe_oLAAWq_aWioUtIsaS&t=993s 4 Artificial Intelligence (AI) Chatbot trends in 2019 https://www.youtube.com/watch?v=NrNTlqMzjj8 5 Adobe Analytics Predicts How Voice Will Change in 2019 https://theblog.adobe.com/adobe-analytics-predicts-how-voice-will-change-in-2019/ 6 IBM Enterprise outlook on Cloud native development https://www.ibm.com/cloud/cloud-native-research/ 7 CNCF survey : Use of Cloud native Technologies https://www.cncf.io/blog/2018/08/29/cncf-survey-use-of-cloud-native-technologies-in-production-has-grown-over-200-percent/ 8 Collabnet Blog : Agile & DevOps Trends https://blog.versionone.com/12th-annual-state-of-agile-report/ 9 AWS Cloud solutions https://aws.amazon.com/solutions/ 10 Google Cloud solutions https://cloud.google.com/solutions/ 11 Azure Cloud solutions https://azure.microsoft.com/en-us/solutions/ 12 Google’s AI-First strategy https://www.youtube.com/watch?v=5WRJYEA-mwY 13 Where to use AI and why? https://info.microsoft.com/ww-landing-gartner-report-where-to-use-ai-and-why-eBook.html?lcid=en-us 14 AWS : What is AI. Machine learning & deep learning https://aws.amazon.com/machine-learning/what-is-ai/ 15 Google : Cloud AI products https://cloud.google.com/products/ai/ 16 Azure : AI products https://azure.microsoft.com/en-us/free/ai/ 17 Intel AI products family https://ai.intel.com/ 18 Nvidia AI products family https://www.nvidia.com/en-us/deep-learning-ai/ 19 RPA & AI – The new intelligent digital workforce https://www.kofax.com/Blog/2018/september/rpa-and-ai-the-new-intelligent-digital-workforce 20 OpenAI research and systems ecosystem https://openai.com/ 21 AutoML – Making ML available to non-ML experts https://www.ml4aad.org/automl/ 22 Open neural network exchange format https://onnx.ai/
  21. 21. Reference [2-of-3] 21 23 Linux Foundation Deep Learning https://lfdl.io/ 24 Bias in AI increasingly recognized, progress being made https://aitrends.com/ethics-and-social-issues/bias-in-ai-increasingly-recognized-progress-being-made/ 25 Google AI solutions https://cloud.google.com/solutions/ai/ 26 Nvidia deep learning / AI solutions https://www.nvidia.com/en-us/deep-learning-ai/industries/ 27 AI free online course https://www.elementsofai.com/ 28 Markets&Markets : Biometric Systems Market forecast https://www.marketsandmarkets.com/PressReleases/biometric-technologies.asp 29 Bringing biometrics to the door and across the enterprise https://www.biometricupdate.com/201811/bringing-biometrics-to-the-door-and-across-the-enterprise 30 Facial recognition 20 times more accurate… https://www.biometricupdate.com/201812/facial-recognition-20-times-more-accurate-with-advances-in-convolutional-neural-networks-nist-finds 31 Fast Identity Online Alliance https://fidoalliance.org/ 32 New version of chrome supports fingerprints auth… https://findbiometrics.com/new-version-of-chrome-supports-fingerprint-authentication-for-websites/ 33 AI / Facial recognition & ethical discussions https://findbiometrics.com/nec-welcomes-ethical-regulatory-discussions-facial-recognition-ceo-512182/ 34 Biometrics – innovations & patents overview https://www.mobihealthnews.com/content/walmart-amazon-patents-could-take-biometric-monitoring-new-level 35 PWC : Blockchain is here. What’s your next move? https://www.pwc.com/gx/en/issues/blockchain/blockchain-in-business.html 36 IBM : Blockchain use cases https://www.ibm.com/blockchain/use-cases/ 37 Blockchain for 2018 & beyond https://www.linkedin.com/pulse/blockchain-2018-beyond-growing-list-use-cases-filipowski-1/?trackingId=R6J17arzemU1VIY2vtVhIQ%3D%3D 38 EEA & Hyperledger alliance https://www.hyperledger.org/announcements/2018/10/01/enterprise-ethereum-alliance-and-hyperledger-to-advance-the-global-blockchain-business-ecosystem 39 AWS : Blockchain https://aws.amazon.com/blockchain/ 40 Azure Blockchain Development Kit https://azure.microsoft.com/en-us/blog/introducing-the-azure-blockchain-development-kit/ 41 IBM Blockchain Platform https://www.ibm.com/blockchain/platform 42 SAP Blockchain solutions https://www.sap.com/products/leonardo/blockchain.html 43 CBInsights : Global Fintech Report Q3 2018 https://www.cbinsights.com/research/report/fintech-trends-q3-2018/ 44 CBInsights : Where top US Banks are betting on Fintech https://www.cbinsights.com/research/fintech-investments-top-us-banks/
  22. 22. Reference [3-of-3] 22 45 InsurTech Landscape https://www.cbinsights.com/research/report/insurance-tech-landscape/ 46 InsurTech trends 2019 https://tearsheet.co/insurtech/the-49-biggest-trends-in-insurance-and-insurtech-for-2019-according-to-experts/ 47 Deloitte : RegTech Universe https://www2.deloitte.com/lu/en/pages/technology/articles/regtech-companies-compliance.html 48 Protoviti : RegTech Roundup https://www.protiviti.com/US-en/defining-regtech 49 Capgemini : Top 10 trends in Capital Markets : 2019 https://www.capgemini.com/wp-content/uploads/2018/11/Top-10-Trends-in-Capital-Markets-2019.pdf 50 Energias Market Research: Global IoT Market Report https://globenewswire.com/news-release/2018/04/17/1479964/0/en/Global-Internet-of-Things-IoT-Market-to-witness-a-CAGR-of-26-6-during-2018-to-2024-Energias-Market-Research-Pvt-Ltd.html 51 Forbes : 10 charts that will challenge your perspective on… https://www.forbes.com/sites/louiscolumbus/2018/06/06/10-charts-that-will-challenge-your-perspective-of-iots-growth/#3efb23d03ecc 52 CBInsights: Edge Computing https://www.cbinsights.com/research/what-is-edge-computing/ 53 Intel : IoT products https://www.intel.com/content/www/us/en/internet-of-things/iot-analytics-and-manageability.html 54 AWS IoT Greengrass https://aws.amazon.com/greengrass/ 55 Google : IoT products https://cloud.google.com/products/#internet-of-things 56 Azure : IoT Edge https://azure.microsoft.com/en-us/services/iot-edge/ 57 IEEE : Industry IoT growth trends https://innovationatwork.ieee.org/industry-iot-growth-trends/ 58 Zebra : POV on Intelligent Enterprise https://www.businesswire.com/news/home/20171101005117/en/Zebra-Study-50-Percent-Enterprises-Achieved-%E2%80%9CIntelligence%E2%80%9D 59 The Intelligent Enterprise Index https://www.zebra.com/content/dam/zebra_new_ia/en-us/campaigns/brand-campaign/harvard-symposium/how-intelligent-enterprise-survey-index-en-us.pdf 60 Intel : IoT solutions https://www.intel.com/content/www/us/en/internet-of-things/market-ready-solutions/market-ready-solutions.html 61 Azure IoT solution accelerators https://azure.microsoft.com/en-us/features/iot-accelerators/ 62 IoT Security spending trends https://www.i-scoop.eu/internet-of-things-guide/iot-security-spending-2018-2021/ 63 Full Stack Developer – required skills in 2019 https://www.quora.com/What-should-a-real-full-stack-web-developer-know-in-2019 64 Tech reskilling drive https://www.weforum.org/press/2018/01/1-million-workers-targeted-in-tech-reskilling-drive/ 65 State of JavaScript survey 2018 https://2018.stateofjs.com/introduction/ 66 Best Blockchain programming language https://www.ubuntupit.com/best-blockchain-programming-language-top-15-reviewed-for-blockchain-programmer/
  23. 23. 23 Thank You! Swarraj Kulkarni swarraj@gmail.com linkedIn.com/in/swarraj Icon made by Freepik from www.flaticon.com

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