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Hot technologies of 2019

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In this seminar you will listen to in depth explanation of the hottest technologies in 2019 and beyond. Prof. Banafa will discuss each technology its applications and challenges with real life cases. The interaction among all the four technology will be explored with focus on future trends in each of technology. As all technologies can be summarized in one word IBAC (IoT, Blockchain, AI, Cybersecurity) they can be explained with the following words: IoT: senses, Blockchain: remembers, AI: thinks, and Cybersecurity: protects.

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Hot technologies of 2019

  1. 1. Hot Technologies in 2019 and Beyond Prof. Ahmed Banafa IoT-Blockchain-AI Expert | Faculty | Author | Keynote Speaker CA, USA
  2. 2. Many Thanks to:
  3. 3. Next Events: • Webinar “ Blockchain Applications” on May 18th , 12 noon – 1PM • Workshop “ Hands-on Blockchain “ on June 8th, 9 AM – 2 PM
  4. 4. Prof. Ahmed Banafa has extensive research work with focus on IoT, Blockchain, cybersecurity and AI. He served as a faculty at well-known universities and colleges. He is the recipient of several awards, including Distinguished Distinguished Tenured Staff Award, Instructor of the year year and Certificate of Honor from the City and County of of San Francisco. He was named as No.1 tech voice to follow by LinkedIn, featured in Forbes, IEEE-IoT and MIT Technology Review, Review, with frequent appearances on ABC, CBS, NBC and and Fox TV and Radio stations. He studied Electrical Engineering at Lehigh University, Cybersecurity at Harvard University, and Digital Transformation at MIT . Author of two books “Secure & Smart IoT using Blockchain & Blockchain & AI” & “Blockchain Technology and Prof. Ahmed Banafa
  5. 5. Two Books about the topics August 2019Nov. 2018
  6. 6. Internet of Things (IoT)
  7. 7. What is IoT Internet of Things, commonly known as IoT is a very general term that includes all sorts of different devices that are being connected to each other and are able to exchange information. Up to 50 Billion devices by 2020. Quora
  8. 8. • By 2020, the Internet of Things (IoT) is predicted to generate an additional $344B in revenues, as well as to drive $177B in cost reductions. • They are in the hands of employees, covering routine management issues and boosting their productivity by 40-60% [1].
  9. 9. IoT trend 1: Growth in Data and Devices • By the end of this year there will be around 3.6 billion devices that are actively connected to the Internet and used for daily tasks according to IT Pro [8].
  10. 10. • With the introduction of 5G that will open the door for more devices, and data traffic. • You can add to this trend the increase adoption of edge computing which will make it easier for business to process data faster and close to the points of action [5].
  11. 11. IoT trend 2: IoT and Digital Transformation • IoT is a key driver of digital transformation in several industries. • Sensors, RFID tags, and smart beacons have already started the next industrial revolution. • Market analysts predict the number of connected devices in the manufacturing industry will double between 2018 and 2020.
  12. 12. • These devices are a total game changer for the many industries, disrupting every part of the production process from development to supply chain management. • Manufacturers will be able to prevent delays, improve production performance. • Another example; in 2019; 87% of healthcare organizations will have adopted IoT technology.
  13. 13. IoT trend 3: More Investments in IoT • IoT’s undisputable impact has and will continue to lure more startup venture capitalists towards highly innovative projects in hardware, software and services. • Spending on IoT will hit 1.4 trillion dollars by 2021 according to the International Data Corporation (IDC) [7].
  14. 14. • IoT is one of the few markets that have the interest of the emerging as well as the traditional venture capitalists. • The spread of smart devices and the increase dependency of customers to do many of their daily tasks using them, will add to the excitement of investing in IoT startups.
  15. 15. • Customers will be waiting for the next big innovation in IoT—such as smart mirrors that will analysis your face and call your doctor if you look sick, smart ATM machine that will incorporate smart security cameras, smart forks that will tell you how to eat and what to eat, and smart beds that will turn off the lights when everyone is sleeping [5][14].
  16. 16. IoT trend 4: Expansion of Smart IoT • IoT is all about connectivity and processing, nothing will be a better example than smart cities , but smart cities have been in a bit of a holding pattern recently.
  17. 17. • Smart sensors around the neighborhood will record everything from walking routes, shared car use, building occupancy, sewage flow, and temperature choice 24/7 with the goal of creating a place that’s comfortable, convenient, safe, and clean for those who live there. • Once the model is perfected, it could be the model for other smart neighborhoods and eventually smart cities [2].
  18. 18. • Another area of spreading smart IoT is auto industry with self-driving cars become a normal occurrence in the next few years, today tons of vehicles have a connected app that shows up to date diagnostic information about the car. • This is done with IoT technology, which is at the heart of the connected vehicle.
  19. 19. IoT trend 5: Artificial Intelligence and IoT Data • Artificial intelligence is the fundamental ingredient needed to make sense of the vast amount of data collected these days, and increase its value for business. • AI will help IoT data analysis in the following areas: • data preparation, • data discovery, • visualization of streaming data, • time series accuracy of data, • predictive and advance analytics, • real-time geospatial and location (logistical data).
  20. 20. IoT trend 6: Fog Computing & IoT • Fog computing is a technology that distributed the load of processing and moved it closer to the edge of the network (sensors in case of IoT). • The benefits of using fog computing are very attractive to IoT solution providers.
  21. 21. • Some of these benefits allow users • minimize latency, • conserve network bandwidth, • operate reliably with quick decisions, • collect and secure a wide range of data, • move data to the best place for processing with better analysis and insights of local data. • Microsoft announced a $5 billion investment in IoT, including fog/edge computing [3][4][5].
  22. 22. IoT trend 7: IoT and Blockchain • The current centralized architecture of IoT is one of the main reasons for the vulnerability of IoT networks. • With billions of devices connected and more to be added, IoT is a big target for cyber-attacks, which makes security extremely important.
  23. 23. • Blockchain offers new hope for IoT security for several reasons. • First, Blockchain is public, everyone participating in the network of nodes of the Blockchain network can see the blocks and the transactions stored and approves them, although users can still have private keys to control transactions.
  24. 24. • Second, Blockchain is decentralized, so there is no single authority that can approve the transactions eliminating Single Point of Failure (SPOF) weakness. • Third and most importantly, it's secure—the database can only be extended and previous records cannot be changed.
  25. 25. • In the coming years manufactures will recognize the benefits of having blockchain technology embedded in all devices and compete for labels like “Blockchain Certified”[3][5].
  26. 26. IoT trend 8: IoT and Standardization • Standardization is one of the biggest challenges facing growth of IoT— it’s a battle among industry leaders who would like to dominate the market at an early stage.
  27. 27. • Digital assistant devices, including HomePod, Alexa, and Google Assistant, are the future hubs for the next phase of smart devices, and companies are trying to establish “their hubs” with consumers, to make it easier for them to keep adding devices with less struggle and no frustrations [3][5].
  28. 28. • But what we have now is a case of fragmentation. • One possible solution is to have a limited number of vendors dominating the market, allowing customers to select one and stick to it for any additional connected devices, similar to the case of operating systems we have now have with Windows, Mac and Linux for example, where there are no cross-platform standards [3][5].
  29. 29. • To understand the difficulty of standardization, we need to deal with all three categories in the standardization process: • Platform, • Connectivity, • Applications. • In the case of platform, we deal with UX/UI and analytic tools, while connectivity deals with customer’s contact points with devices, and last, applications control, collect and analyze data.
  30. 30. • All three categories are inter-related and we need them all, missing one will break that model and stall the standardization process [3][5].
  31. 31. • There is no way to solve the problem of fragmentation without a strong push by organizations like IEEE or government regulations to have common standards for IoT devices [3][5].
  32. 32. IoT trend 9: IoT Skills Shortage • While investment in the Internet of Things (IoT) is set to reach over $1 trillion by 2020, according to IDC, the need for IoT skills may just hamper this growth. • In fact, according to a Canonical report, 68% of businesses still struggle to hire IoT experts [10]. • The latest Tech Job Watch report from Experis showed a 35% increase in the demand for technology skills since this time last year, as businesses look to harness the power of IoT [11][13].
  33. 33. • Universities cannot keep up with the demand, so to deal with such shortage, companies have established internal training programs to build their own teams, upgrading the skills of their own engineering teams and training new talents. • This trend will continue, representing an opportunity for new engineers and a challenge for companies [3][5].
  34. 34. Blockchain
  35. 35. But what is Blockchain?
  36. 36. Best Definition of Blockchain?
  37. 37. Cryptography +Human Logic Dr. Abel Sanchez -MIT
  38. 38. The Five Components of a Blockchain: •Cryptography •P2P Network •Consensus Mechanism •Ledger •Validity Rules
  39. 39. Blockchain Tracks To understand the direction of Blockchain technology in 2019 and beyond, we need to recognize the three tracks of blockchain technology:
  40. 40. Source: 101Blockchain
  41. 41. Consumer Adoption 8 % Americans that hold crypto $3B US Crypto Trading Fees - 2018 1,700 Bitcoin ATM locations in the US Ethereum Classic Lab
  42. 42. Attheendof2018,36blockchainstartupshad been acquired. Roughly30%fromtheBayArea. https://www.bizjournals.com/sanfrancisco/news/2018/10/18/ticketmaster-snaps-up-blockchain- company.html
  43. 43. 2018 World Economic Forum survey suggested that 10 percent of global GDP will be stored on blockchain by2027
  44. 44. Good News and Bad News !
  45. 45. Blockchain in 2019 ? Paul Brody, Ernst & Young's (EY) Global Innovation Leader for Blockchain Technology, said the Blockchain market over the past 18 months has been moving through an "explain this to me" phase (PowerPoint) into the "prove it to me" phase (working conference room pilots).
  46. 46. All Started with this paper …
  47. 47. https://nakamotoinstitute.org/bitcoin/
  48. 48. Implementation 2018-2019
  49. 49. Opportunities?
  50. 50. Proof of Work vs. Proof of Stake
  51. 51. Other Proof of X?
  52. 52. • Delignated Proof of Stake • Proof of Authority • Proof of Assignment • Proof of View • Proof of “You name it”
  53. 53. Soft Fork vs. Hard Fork
  54. 54. Some of the Myths… Myth # 1: Smart contracts have the same legal value as regular contracts Myth # 2: Blockchain is designed for Business interactions only Myth # 3: Blockchain is Bitcoin Myth # 4: Blockchain can only be used in the financial sector Myth # 5: Blockchain records can never be hacked Myth #6 : The Blockchain can be used for anything and everything. Myth #7 : There is only one Blockchain Myth # 8: Blockchain is free Myth # 9: Blockchain is going to change the world
  55. 55. Some of the Challenges Facing Blockchain
  56. 56. www.zdnet.com
  57. 57. More Challenges …
  58. 58. • Scalability • Processing Time • Processing Power • Storage • Regulations • Public perception (Blockchain is Bitcoin) • Lack of skilled staff • First Mile and Last Mile problem
  59. 59. Current solutions…
  60. 60. Source: 101Blockchain
  61. 61. Applications
  62. 62. Examples CVTrust, Accredible
  63. 63. Walmart-Led Blockchain Effort Seeks Farm- to-Grocery-Aisle View of Food Supply Chain
  64. 64. How Blockchain Can Help Advertising • For buy-side transparency: Blockchain for auditing • For sell-side transparency: Proof-of-view to fight fraud • PoV only records views from signed-in users, since the viewer’s unique ID is part of the information required for a view to be considered valid. • Since most people are only able to watch one video at a time, the PoV will invalidate views from a user who is streaming multiple videos simultaneously. • The PoV technology confirms that a video is actually being streamed by capturing information about the current frame at random times. • Using smart contracts to document views and who gets paid
  65. 65. MANUFACTURER SERIALIZATION AGGREGATION LOGISTICS SHIPPING WHOLESALER PHARMACY 1. Certificate of origin 2. Batch numbers 3. Processing data 1. Shipment date 2. Order number 3. HSS code 4. Barcode 1. Certificate of Origin 2. Batch number 3. Production data 1. Shipment date 2. Order number 3. HSS code 4. Temperature 5. Barcode 1. Order number 2. Shipment number 3. Equipment number 4. Temperature 1. Receive data 2. Pick date 3. Packaging specification 4. Packaging barcode 5. Temperature 1. Receive date 2. Order number 3. Invoice number 4. Customer ID 5. Temperature Blockchain Leverage Blockchain and Sensors to Enable Trust, Transparency & Authenticity In Supply Chain STATWEG
  66. 66. -By installing Bakkt’s payment software in stores customers will be able to pay with crypto. - Two year supply chain pilot utilizing traceability technology. The goal is to contribute to financial independence of farmers, and to develop transparency for consumers. It allows evidence of a DocuSigned agreement to be automatically written to Ethereum. For customers who want evidence of agreements to exist in a neutral environment, not owned by any particular entity, this solution is ideal. Acquired Upgraded to help with transparency, ticket distribution, and fraud prevention. The technology enables Ticketmaster to digitize traditional tickets into interactive units protected by blockchain technology via encrypted barcodes. Ethereum Classic Lab
  67. 67. Verifying the Authenticity of Returned Drugs • In the Pharma industry, drugs are frequently returned to the pharmaceutical manufacturers. • While the proportion of the returned drugs is small compared to the sales (about 2–3% of sales), the per year volume is in the range of $7- 10 billion. https://hackernoon.com/top-5-use-cases-of-blockchain-in-pharma-and-healthcare-that-you-should-know-about-77ccdd76369b
  68. 68. Industry Proof-of-Concept Currently, Merck in partnership with SAP has developed the SAP Pharma Blockchain POC app for this Use Case. SAP launched this first Proof of Concept in Q3 2017, and a second one in early 2018. The PoC for the Use Case works as follows, • SAP’s existing solution called ATTP (Advanced Track and Trace for Pharmaceuticals), generates unique identifiers for a drug package. https://hackernoon.com/top-5-use-cases-of-blockchain-in-pharma-and-healthcare-that-you-should-know-about-77ccdd76369b
  69. 69. • When a manufacturer ships a package they register the item on the SAP Pharma POC Blockchain, with the four pieces of information generated by the ATTP; the item number (based on GS1 standard), a serial number, a batch number, and an expiration date. https://hackernoon.com/top-5-use-cases-of-blockchain-in-pharma-and-healthcare-that-you-should-know-about-77ccdd76369b
  70. 70. Who is actively hiring now! • IBM • Oracle • EY
  71. 71. Glassdoor
  72. 72. …and • Facebook (FaceCoin?) using StableCoin!
  73. 73. AI
  74. 74. What is AI It is the science and engineering of making intelligent machines, especially intelligent computer programs. Professor John McCarthy
  75. 75. https://www.hci-kdd.org/2017/11/11/difference-ai-ml/
  76. 76. Challenges Facing AI • Building Trust • AI Human Interface • Investment • Software Malfunction • Can Replace only Certain Tasks • High Expectations
  77. 77. Cybersecurity
  78. 78. Cybersecurity is the practice of defending computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks. It's also known as information technology security or electronic information security. Kaspersky Labs
  79. 79. Cybersecurity includes : • Network security • Application security • Information security • Operational security • Disaster recovery and business continuity • End-user education
  80. 80. Videos Websites
  81. 81. • Fish Tank • HAC Systems
  82. 82. Harvard Cybersecurity Program
  83. 83. Applications of IBAC Working Together!
  84. 84. Questions?
  85. 85. Thank you! https://www.linkedin.com/in/ahmedbanafa (35k followers) @BanafaAhmed

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