IOTA Hackathon

The blockchain tech sphere in the fall of 2017 looks totally different than in the same period of 2016. Then, many people heard about blockchain for the very first time, now there are several dedicated blockchain platforms for specific applications. In the field of Industry 4.0, beside supply chain and robotics, IoT applications provide a hotbed for highly scalable blockchains, such as IOTA, NEO, or QTUM.

For and with one of these IoT-specific blockchains, IOTA, we will organize a hackathon, a week-end full of code, co-creation and ideas.

BUILD THE FUTURE WITH US!

Today is blockchain, tomorrow is industry 4.0 and the internet of everything. Autonomous cars, sensors and intelligent factories are the future but how will they communicate and transact among one another on a worldwide scale? IOTA is a blockless ledger system which enables scalable autonomous machine to machine micro-transactions without fees. Want to get your hands dirty and take part in building the future?

WHAT’S THE IOTA HACKATHON ALL ABOUT?

  • Developing services or products for the internet of things
  • Gaining experience with IOTA’s blockless ledger system for cutting-edge machine to machine transactions
  • Keynote speeches by key players in the industry
  • Networking, fun, free food and friendly competition

THREADS TO BE PURSUED

  • IoT Based Business Plans
  • Hardware Connectivity Layer: Bluetooth, Z-wave, ZigBee or LoRa
  • Application Layer: MQTT, XMPP
  • Fog, Mist & Edge Computing for IoT
  • Quantum security
  • IoT Maintenance & Lifecycle Management
  • Identity of Things (IDoT)

WHO CAN PARTICIPATE?

  • Developers (Esp. JavaScript, Java, Python)
  • Business Practitioners & Economists
  • UI/UX Designers

SCHEDULE

FRIDAY 17 NOV
18:00 – 19:00
Reception and Networking: Get comfortable and get to know one another

19:00 – 21:30
Keynote Presentations: Introductions and food for thought
– Jörg Blumtritt (Datarella)
– Dominik Schiener (IOTA)

SATURDAY 18 NOV
9:00 – 9:30
Breakfast and Coffee: Fuel up for the Hackathon

9:30 – 10:15
Individual Introductions: Barcamp style three keywords per person
30 Second Elevator Pitches: Explain your idea, build a team that can execute it!

10:15 – 11:00
Team Building: Chat with team leaders of interest & decide which team you want to hack with.

11:00 – 12:00
Speakers round: Getting started with IOTA: Dev Tools & Resources from Baltic Data Science

12:30 – 13:30
Lunch Break: Enjoy some delicious food and get ready

13:30 – 16:30
Time to Hack: Build, Test, Iterate

16:30 – 16:45
Movement Break: Get your blood pumping!

16:45 – 19:30
Time to Hack: Build, Test, Iterate

19:30 – 20:30
Dinner Break: Take some time to nourish the body and get ready for the all nighter to come!

20:30 – Late
Hack Till Your Heart’s Content: It’s up to you. The accelerator is open all night. Code till you drop.

SUNDAY 19 NOV
9:00 – 9:30
Breakfast and Coffee: Fuel up for the final day

9:30 – 12:30
Hacking and Presentation Prep: Get your demos running!

12:30 – 13:30
Lunch Break: Nutrition for the final stretch

13:30 – 14:00
One Last Check: Audio Visual and Tech Check for Demos

14:00 – 16:30
Demo Presentations: Show us what you’re made of!

16:30 – 17:30
Jury Session: Enjoy some refreshments while the jury deliberates

17:30 – 20:30
Awards Ceremony: Celebrate with the winners, network and celebrate

APPLICATION
To apply for the IOTA HACKATHON 2017 register now!
Don’t wait for too long – the number of participants is limited.

LOCATION
Lęborska 3b, 80-386 Gdańsk
NIP: 583-290-74-40

Based on our experiences with hackathons we think that Gdansk, Poland, is a perfectly suited location for this IOTA hackathon. Looking forward to hacking with you!

Know And Speak To Your Customer Through The IoT

Equipped with sensors and microchips, ever more of objects can communicate, with each other and with human beings – the Internet of Things and Humans is born. Even washing powder is set to become smart through attached sensors on its packaging that detects when the product is being used, and that communicates with readers like smartphones when scanned. From today’s 5 billion to 21 billion by 2020, the number of wirelessly connected things will increase. 

Who will profit from the Internet of Things – or IoT – most?
Let’s look at the obvious applications, first: Stock-keeping and supply-chain management processes will have implemented technologies making objects communicating with each other, thus enabling businesses to follow the progress of their products from factories to shops to end-consumers. Espresso beans will tell baristas about the best temperature to keep them in stock. Batteries will inform their owners when reaching the last phase of their power-providing lives.
From our perspective, however, the biggest potential lies in customer relations. Brands are realizing that the best way to sell their products is to build personal relations with customers rather than to spend lavishly on marketing. Until today, many brands come only second behind retailers with regards to communication to their customers. Often, it’s the retailer who knows the customers‘ preferences best, and who is able to retain them through loyalty schemes. Ask yourself: where do you buy your stuff? Online retailers are the ones understanding their customers best, often they have the complete customer journey available.

Speak to your customer
Now it becomes cheaper to add sensors and microchips to products, and to connect them to the internet. The direct result of the IoT is a huge influx of customer or end-user data. Whereas nobody at manufacturers and brands had to – or better: was able to – gather data of actual customer behavior so far, there now arrives Big Data describing everything these companies have ever wanted to know. In theory, this data will help them develop their products and services more rapidly, fix any bugs more quickly and tailor products better to their end-users‘ needs.

In practice, the gigantic flood of data may imply significant structural changes for manufacturers: is the IT infrastructure set to cope with Big Data? Is the IT personnel eqipped with the necessary knowledge amd experience to handle data sampling and dara storage correctly? Are there adequate in-house resources to munge and analyze the data? And, after all, will anybody visualize and instrumentalize the data in a meaningful way? Sure, there already are best practices regarding individual steps of this Big Data process. And for each part of the process, there are tools that can be used a software-as-a-service. But it`s a long way from data sampling to a smoothly managed customer relation through objects.

A new era of competition
Managing and optimizing the company’s own customer relations through the IoT is just one part of the equation: when retailers start a direct communication with their end-users, retailers won’t passively stand on the sidelines. They will fight back trying to defend their position of being „first-to-the-customer‘. And on the operative level, retailers have a big advantage: they have always been the ones with a direct contact to the customer. They know their customers (or at least they should). Everybody who switched from working in a company without direct contact to the customer to an end-user shop has experienced a cultural clash: you won’t imagine the expectations of a typical end-user – i.e. ourselves. Let alone all additional privacy and cyber-security issues.

That said, the IoT offers manufacturers the biggest opportunity since the industrialization. They can understand and learn from their customers. They can even partner with them. But first they have to do their homework and provide all the needed resources in IT infrastructure, processes, and human resources.