IoT and Robotic Process Automation in Future Logistics - Asia Logistics Forum - 2018

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Dassana Wijesekara

Discuss application of IoT and robotic process automation in advanced efficient logistics systems.

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https://medium.com/@dassana.p.wijesekar
a
Dassana Wijesekara
Director - Solution Architecture
WSO2 Inc.
IoT & Robotic Process
Automation in Future Logistics.
01
Big Data
Large scale data
retrieval, cleansing and
distributed processing.
(+ edge processing)
02
Intelligence
Data derived
intelligence and
prediction.
03
APIs
APIs abstract devices.
Supports GraphQL
models.
Poweredby:

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2
S
Sourcing:
Manytypes&
Quantities
Sourcing
Retrieval of goods and services from supply chain
partners. Ability to handle multiple types and
large quantities of material.
PS
Packaging and Storage
Meeting multiple packaging requirements and storage.
Meeting different standards.
W
FluidInventory
Inventory
Inventory techniques and management processes. Augmented
with analytics and prediction.
I T
Warehousing
Automation of warehouse floor. Storage environment
modelling.
Transportation
Efficient scheduling, delivery optimization.
Automation

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3
Rogue River Brewing Company : Fresh Hops
Making Hops available
within 12 hrs from field to
Vat.
Edge Computing
Cleansing, aggregation and formulation
at the perimeter.
GDPR
Privacy and security standards.
Connected Logistics Platform
From devices to systems working in harmony.
Logistics 4.0 : IoT
as an enabler

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C-Discount French Retailer
uses bots which can climb.
Exotec Solutions skypad is being used.
Efficiency
Accuracy
OpenHardware&openarchitecture
Warehouse Robotics
Alibaba who is the largest retailer of the world and
DHL has rapidly increasing robotic automation in
their warehouses.

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Dispatch AI is creating a
platform for local delivery
by a fleet of autonomous
vehicles.
Efficiency
Accuracy
OpenHardware&openarchitecture
Autonomous Transportation
Powered by the concept of zero touch delivery.

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Q&A
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Time for any questions ?

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WSO2 Workshop Sydney 2016 - Microservices

WSO2 Workshop Sydney 2016 - Microservices

WSO2 Workshop Sydney 2016 - Microservices

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WSO2 Workshop Sydney 2016 - Analytics

WSO2 Workshop Sydney 2016 - Analytics

WSO2 Workshop Sydney 2016 - APIs

WSO2 Workshop Sydney 2016 - APIs

WSO2 Workshop Sydney 2016 - APIs

WSO2 Auckland Workshop 2017

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WSO2 Auckland Workshop 2017

WSO2 Sydney Workshop 2018

WSO2 Sydney Workshop 2018

WSO2 Sydney Workshop 2018

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

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Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

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Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

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MINDCTI Revenue Release Quarter One 2024

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Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

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IoT and Robotic Process Automation in Future Logistics - Asia Logistics Forum - 2018

1. PreviousNext 1 https://medium.com/@dassana.p.wijesekar a Dassana Wijesekara Director - Solution Architecture WSO2 Inc. IoT & Robotic Process Automation in Future Logistics. 01 Big Data Large scale data retrieval, cleansing and distributed processing. (+ edge processing) 02 Intelligence Data derived intelligence and prediction. 03 APIs APIs abstract devices. Supports GraphQL models. Poweredby:

2. PreviousNext 2 S Sourcing: Manytypes& Quantities Sourcing Retrieval of goods and services from supply chain partners. Ability to handle multiple types and large quantities of material. PS Packaging and Storage Meeting multiple packaging requirements and storage. Meeting different standards. W FluidInventory Inventory Inventory techniques and management processes. Augmented with analytics and prediction. I T Warehousing Automation of warehouse floor. Storage environment modelling. Transportation Efficient scheduling, delivery optimization. Automation

3. PreviousNext 3 Rogue River Brewing Company : Fresh Hops Making Hops available within 12 hrs from field to Vat. Edge Computing Cleansing, aggregation and formulation at the perimeter. GDPR Privacy and security standards. Connected Logistics Platform From devices to systems working in harmony. Logistics 4.0 : IoT as an enabler

4. PreviousNext 4

5. PreviousNext 5 C-Discount French Retailer uses bots which can climb. Exotec Solutions skypad is being used. Efficiency Accuracy OpenHardware&openarchitecture Warehouse Robotics Alibaba who is the largest retailer of the world and DHL has rapidly increasing robotic automation in their warehouses.

6. PreviousNext 6 Dispatch AI is creating a platform for local delivery by a fleet of autonomous vehicles. Efficiency Accuracy OpenHardware&openarchitecture Autonomous Transportation Powered by the concept of zero touch delivery.

7. PreviousNext 7

8. PreviousNext 8 Q&A Are you Ready ? Time for any questions ?