The Future is Here
Download as PPTX, PDF1 like150 views
The document discusses emerging technologies including Docker, event-driven models, artificial intelligence, and the Internet of Things, highlighting their impact on industries such as agriculture and software development. It emphasizes the benefits of these technologies, such as improved automation, scalability, and enhanced user experiences, while also noting challenges like adoption costs. Overall, it underscores the need for adaptation and the potential for disruption in business models due to these advancements.
The Future is Here
- 1. The Future is Here! Jeff Bramwell VP – Enterprise Architecture Farm Credit Services of America [email protected] @jbramwell
- 2. Disclaimer
- 3. What are we talking about? • Docker • Event-Driven Models • Artificial Intelligence • Autonomy • Internet of Things • Blockchain • Mixed Reality • Conversational Platforms • Bonus!
- 4. Docker The Tupperware of software
- 5. Docker (Containerization) • Docker… • Is a container platform for hosting applications and services • Automates the deployment of applications and services inside containers • Lets you include all dependencies with the deployed application • Solves the “it works on my machine” problem • Provides an abstraction between the container and the host operating system • Is similar to virtual machines in some respects but different in so many others
- 6. Docker vs. Virtual Machine Server Server Host Operating System (Windows Server/Linux) Host Operating System (Windows Server/Linux) Docker Engine Hypervisor Container A Container B Container C Guest OS Guest OS Guest OS App A App B App C Docker Virtual Machine
- 7. Benefits of Docker • You can run more containers on a host than VMs (> ROI) • Fast startup times • Can run on-premises, in Azure, AWS or GCP (without change) • Improved CI/CD processes • Configuration as code • Isolation of applications and resources • Runs on Linux and Windows (Windows 10 and Windows Server) • “Zero-downtime” Deployments • Ability to scan images for security vulnerabilities prior to deployment • Improved reliability/uptime (via Swarm or Kubernetes) • More…
- 9. What’s Being Run on Docker?
- 10. What’s the Impact? • Potential to reduce number of virtual machines • Improved CI/CD processes • Improved reliability • Simplified hosting of 3rd party applications • Can easily move form on-premises to cloud • Not without learning curve and adoption costs • Microsoft still catching up in some areas
- 11. Event-Driven Models “Have your people call my people.”
- 12. Event-Driven Architecture • Based on creators and consumers • Enables large numbers of creators and consumers to exchange messages in near real-time • Not a new concept but has become increasingly popular • Driven by systems running at scale
- 13. Why Now? • Increased adoption of micro-service architecture • Allows communication with loose coupling • With IoT devices growing in numbers there are now more creators and consumers (of data/events/messages) • Supports scalability of web-based applications and back-end APIs
- 14. What’s the Impact? • Design for scalability before it becomes an issue • Impacts how system architecture is designed • Training could be beneficial • Potential for middleware (though not always required) • Allow for easier integration with other organizations
- 15. Artificial Intelligence “I’m sorry, Dave. I’m afraid I can’t approve that loan.”
- 16. Artificial Intelligence Artificial Intelligence An umbrella term covering all facets of artificial intelligence – formerly known as expert systems Machine Learning Algorithms self-learn and improve with data exposure over time Deep Learning Modeled after the human brain via neural networks and relies on large amounts of data
- 17. Artificial Intelligence - Timeline Source: https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/
- 18. Why Now? • Increase in computing power and data storage capacity, at reduced cost (think cloud) • Exponential increase in amount of data available • Advancement in Machine Learning methods to analyze complex datasets
- 19. Artificial Intelligence - Examples • Image Recognition • Can we count the number of cows in a field? • Can we determine the extent of crop damage after a drought? • Sentiment Analysis • Can we get a feel for customer experience levels through social media? • Predictive Models • Automated loan decisions • Alerts to “anomalies” in our IT infrastructure (apps, services, data, etc.) • Improve Practices • Can we recognize crops in distress and adjust accordingly?
- 20. What’s the Impact? • Must maintain competitive edge • Faster (but accurate) loan decisions • Ability to react to customer experience issues in near-real-time • Providing customers with tools to save them time and money • Better compliance, more-reliable systems • Locating anomalies in data before it becomes an issue • Make sure your data is accurate
- 21. Autonomy “Does anyone know where my tractor is going?”
- 22. Autonomy • Think: Driverless (autonomous) tractors/combines • …or drones • Potentially run larger farms with no additional people • Promise of increased safety • Relies heavily on AI/ML • Here now! • Self-driving combines and tractors • AutoCart® from Smart Ag – a fully-automated grain cart
- 23. What’s the Impact? • Producers purchasing more advanced equipment • Different approaches to how they run their farms • More automation allowing you to better utilize your time • Possibly expand their operation by re-focusing their resources
- 24. The Internet of Things “So, a combine and a grain cart connect on the internet… “
- 25. What is IoT? • A network of devices, vehicles, buildings, etc. • Most IoT devices include one or more sensors and/or actuators • Examples of IoT Devices • Data collection within combines/tractors • Moisture sensors (e.g. for cropland, water tanks, etc.) • Location detection sensors (e.g. on vehicles, irrigation equipment, etc.) • Mechanisms for opening/closing gates, valves, etc. • pH detectors for cropland and fisheries • Estimated 30 billion IoT devices worldwide by 2020
- 26. IoT Devices Installed Worldwide Source: https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/
- 27. What’s the Impact? • Support for precision agriculture initiatives • Import production/sales data directly into farm management tools • Improved efficiencies in farming practices
- 28. Blockchain FACT: Chuck Norris mined all bitcoins...twice!
- 29. Blockchain • A secure, distributed (public) ledger of transactions • Technology behind Bitcoin and many other cryptocurrencies • Lots of potential for disruption in the financial lending business • F.I.T.S, or: • Fraud – is there a propensity for fraud? • Intermediary – are there intermediaries involved? Can they be displaced? • Transaction/Throughput – not (yet) suitable for high throughput • Stable (Data) – blockchain works best for data that isn’t constantly changing • See the talk: • Digital Disruptor – Blockchain and Cryptocurrency Primer • Bala Silzankoil @ 09:15
- 30. What’s the Impact? • Lots of opportunity for disruption of business models • Being first to market is key for public/distributed ledgers
- 31. Mixed Reality “Help me Obi-Wan Kenobi, you’re my only hope.”
- 32. Lots of Realities • Virtual Reality vs. Augmented Reality vs. Mixed Reality • Think “fully immersed into” vs. “overlaid on top of”
- 33. What’s the Impact? • Multiple opportunities related to farming • Overlaying field conditions as you look around • Getting a “heads up display” (HUD) on practically everything you look at • Virtually fly over a damaged field with VR and a drone • “Sit in” an autonomous vehicle with VR
- 34. Conversational Platforms “Alexa, which crops do I need to tend to today?”
- 35. Conversational Platforms • Changes the learning curve of user-computer interaction • Instead of humans learning to understand hardware and software… • Hardware and software learn to understand the humans • Can be voice-based and/or text-based • Sometimes both • Plays well in the world of mixed reality • #6 on Gartner’s technology trends for 2018
- 36. What’s the Impact? • Customers will come to expect conversation-based experiences • We are all getting acquainted with it now via: • Voice-based smartphone interactions • Home automated devices such as Amazon’s Echo and Google Home • Questions generally resolved with a call might be resolved via interaction with an AI-based chatbot
- 37. Bonus! But, wait! There’s more!...
- 38. Quantum Computing • Based on quantum mechanics • Relies on quantum effect known as superposition • Typical computers encode data as bits (1’s and 0’s) • Quantum computers rely on quantum bits or qubits • Can, essentially, be both 1 and 0 at the same time • Answers are deduced based on complex algorithms and probability • Wanna play around now? • Microsoft Quantum Developer Kit (Preview) & Q#
- 39. What’s the Impact? • Will not replace “typical” computing platforms • Ideal for specific scenarios where probability can be leveraged • Many years out before quantum computing is practical
- 40. Summary • To a degree, all of these technologies are interwoven • Docker provides the next-generation hosting platform • Event-driven architecture provides scalable inter-communication • IoT devices open up a new world of data and sensors • Conversational platforms can provide a better way for interacting with technology • Artificial intelligence ties everything together to improve the decision process • Etc. • This field is constantly evolving and shifting – we have to evolve with it • Lots of opportunity for disruption and improved customer experiences • Exciting times, indeed!