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Chief Technology Officer at Neosperience. Loves speaking about Serverless, ML, and Blockchain. ServerlessDays Milano co-organizer. Opinions are my own.

Facciamo il punto, alla luce della scienza della situazione relativa a vaccini, varianti e contagi

La scienza non è una religione.

Sembra un’affermazione banale e che chiunque abbia almeno i rudimenti basilari di epistemologia (un parolone per dire che hai studiato la storia delle scoperte scientifico-tecnologiche dell’umanità), ben conosce poichè più volte si è trovato a dover distinguere tra “fede” e “fiducia” nella scienza. A quasi 400 anni dalla morte di Galileo, un tale approccio maturo dovrebbe essere dovuto. Purtroppo non è così e ci si ritrova a ribadire l’ovvio: la fede appartiene ad una dimensione spirituale estremamente personale mentre la fiducia è il risultato di…


AI4DEVS TURNS TEN, TIME TO TAKE A STEP FURTHER EMPOWERING PEOPLE TO EMBRACE AI EVERYWHERE

Our weekly newsletter becomes bi-weekly, with more content, deep dives, and lands on Medium's most relevant publication.

The road so far…

When the AI4DEVS newsletter started, it was just an experiment following a gentle nudge from people asking to have a reference about what’s new on AI and machine learning. The fun part of the story is that all these requests came mainly from peers with no prior expertise in data science willing to get started somewhere.

The last few years saw an unprecedented evolution in the technical role of machine learning experts, growing to a mere wizard pulling complex spells out from their…


CLOUD AND BLOCKCHAIN PROVIDE SCALABILITY AND RELIABILITY TO HYBRID ON-CHAIN AND OFF-CHAIN APPLICATIONS

A deep dive into WizKey architecture, leveraging NFTs and decentralized apps to ensure traceability and accountability

Photo by Pierre Borthiry on Unsplash

In the last decade, blockchain technology evolved from a mere proof of concept to a speculative asset enabler to a mature solution in a very short timespan. While cryptocurrencies represent a fancy alternative to gambling, the underlying technology grew to overcome built-in limitations and find meaningful applications. After an initial growing hype into making everything a decentralized app, many projects failed to reach the market, while others adopting a more practical approach steadily grew time over time.

WizKey DeFiNe (WK) aims to bring back value to the credit market, pushing trust and reliability using the blockchain. Receivables are financial assets…


IMPROVE MACHINE LEARNING DEPLOYMENT WITH NEW RE:INVENT 2020 AWS LAMBDA FEATURE

Photo by frank mckenna on Unsplash

AWS Lambda was released back in 2014, becoming a game-changing technology. By adopting Lambda, many developers have found a new way to build micro-services that could be easily achieved. It comes with many additional advantages such as event-based programming, cloud-native deployment, and the development of the now well-known infrastructure-as-code paradigm.

A paradigm-shifting technology like AWS Lambda had to define its own standards to support all the modern app development lifecycle requirements. To make things easy to develop, Lambda decided to offer the easiest way of code project management: the zip file format.

Then, packaging and deploying a code function to…


RE:INVENT 2020 SESSIONS PICKS FOR DEVELOPERS AND MACHINE LEARNING PRACTITIONERS

Photo by Julian Paefgen on Unsplash

This year will be remembered for many reasons. It has been a year of big changes in our lives and habits and a time when we found new ways to do the things we love. 2020 will be remembered as the first year without Amazonians from everywhere gathering in Vegas for the traditional re Invent.

Luckily, it won’t be a year without re:Invent because AWS decided to shift the conference completely online, with a catalog of almost 2000 unique sessions ranging from IoT to machine learning applications to infrastructure and serverless.

As a developer and a machine learning practitioner, digging…


CAN YOU OBTAIN THE SAME ACCURACY OF A CUSTOM TRAINED ML MODEL WITH AMAZON REKOGNITION CUSTOM LABELS?

Heating, ventilation, and air conditioning (HVAC) pipes. Image from Wikipedia by Aidan from Brisbane, Australia

ML classification: Amazon Rekognition or Amazon SageMaker?

Computer vision problems have been tackled using neural networks in recent years, obtaining unprecedented results and continuously raising the bar of accuracy to near-human performances.
In this article, the focus is set on image classification in an uncommon context related to a Neosperience customer that provided the opportunity to compare two different approaches: Amazon Rekognition Custom Labels and Amazon SageMaker custom model.
Both approaches have advantages and could find their spot in a given context, but Amazon Rekognition Custom Labels offer an interesting tradeoff between time-to-market and cost.

Alisea

Machine Learning applications are steadily shifting from research domains to industry, opening…


DEMOCRATIZING AI FOR EVERY DATA SCIENTIST, WITH MODERN TOOLS

Image by Comfreak from Pixabay. The power of Lightning can fire a torch.

In real-world applications, managed AI services such as Amazon Rekognition and Amazon Comprehend offer a viable alternative to dedicated data science teams building models from scratch. Even when a use case requires model re-training with purpose-built datasets such as custom image labels or text entities, it can be easily achieved with Amazon Rekognition Custom Labels or Amazon Comprehend Custom Entities.

These services offer state of the art machine learning model implementations, covering several use cases. Such models are not a feasible approach in some contexts. It could happen either because the underlying network requires being deeply customized to data scientists…


Neosperience aims to become the foundation of partners' product strategy and the backbone of our services. Photo by Mirko Blicke from Unsplash

Some of the companies joining us in the last few months brought non only strong domain expertise and technical competencies in their field (i.e., MIkamai, LinkMe) but also widely adopted products, like Workup RubinRed Digital Commerce platform. Many to come in the next months as soon as we find top performers in their fields, willing to scale up and join our family. On a product strategy basis, it has not been easy to think which evolution model was the best to provide the best value for our customers.
On one side, we could adopt a centralized model with firm product feature…


Photo by Ian Schneider from Unsplash.

Since we started scaling up Neosperience from a single company to a group, while onboarding people with different stories and experiences, making everyone feel comfortable has been one of our top priorities.
We know this posed several challenges we had to consider to reach the ambitious goal of having everyone “feel like being at home” within Neosperience.
We know that the three keys driving people’s motivation are autonomy, mastery, and purpose. Such principles are good at keeping a single person engaged with a company or a team. Unfortunately, they do not provide sufficient enough guidelines about the strategies to help employees participate…


Image analysis ML models can be run smoothly from a serverless function, democratizing access to AI. Photo by Alisa Anton on Unsplash

On June, 16th Amazon Web Services released the long-awaited feature of AWS Elastic File System (EFS) support for their AWS Lambda service. It is a huge leap forward in serverless computing, enabling a whole set of new use cases, and could have a massive impact on our AI infrastructure, thus reducing machine learning inference costs down to pennies for a wide number of applications.

The most exciting feature of Elastic File System is its capability to be mounted both on EC2 virtual machines, Fargate containers, and AWS Lambda. This feature is not anything new on the EFS domain. It has…

Luca Bianchi

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