Business & Strategy | ML Conference | The Conference for Machine Learning Innovation

IoT and Sustainability

datasyncer@sandsmedia.com — Mon, 27 Jun 2022 09:08:52 +0000

IoT products are chic, expensive, practical and often end up as useless bricks after a few years, as manufacturers discontinue software support for products. This poor environmental performance is made worse by the fact that many IoT products have limited or no repair capabilities. Devices with disposable batteries and accumulators, such as city scooters, are often not disposed of properly , but meet their end dumped in the Rhine and Spree rivers. This presentation shows: Sustainability in IoT starts with sustainable product design and usage concepts and calls for following the good examples of sustainable IoT products.

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The latest greatest in IoT Connectivity fuels the expansion of the IoT world

datasyncer@sandsmedia.com — Thu, 09 Jun 2022 07:44:39 +0000

The Internet of Things is about connecting things: sensors, fridges, robots and cars. The growth in numbers of the IoT devices is driven on one hand by the reduction of cost for simple connectivity, but also by the increase in needs for flexibility and by more powerful wireless connectivity.
In the first direction the cost of classic M2M connectivity has long been slowing down the IoT market, but some technologies with very low battery consumption, long term market stability and prices of 10 Euros for 10 years finally emerge as solutions that allow also “non-important” sensors and devices to become part of the internet of everything and to do more IoT.
In the other direction, 5G allows a reliability and latency that enables machines and data to become wireless that was previously bound to stay cabled. 5G networks in their different flavours represents the other extreme of IoT connectivity that is also growing strongly and seeing an increase in factory flexibility and cloud deployments fulfilling the needs of market and technology for new IoT.
IoT is expanding in all directions: cheaper, simpler, greener as well as stronger, “own-er” and faster.

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Automating inspections with smart drones

datasyncer@sandsmedia.com — Mon, 30 May 2022 14:35:41 +0000

Innovation and technology are the new facades of evolution and growth. With cutting-edge, end products of intelligent automation drones are witnessing rising opportunities to conquer any market offering swiftness and agility, this automated machinery makes it possible to access areas that pose health, safety, and environmental risks in a fast manner and high quality. Traditional and conventional inspection no longer cover the area of visual examination mechanisms anymore. In our upcoming session, we’re offering insights into our new patented certified and approved technology for our in-house developed sensors to inspect wind turbines and infrastructural monuments using our latest lightning protection system measurements and navigation assisted by AI.

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IoT Analytics at Scale – Customer based product development

datasyncer@sandsmedia.com — Thu, 03 Mar 2022 13:55:38 +0000

Modern products are data-driven products. Making devices generate data is easy, making that data
work for you is a challenge. It is therefore not surprising that, in addition to process automating IoT
approaches, IoT analytics projects are becoming more and more popular. Hardware is always only
one part of a modern service portfolio and for many business cases it is not the product behavior but
rather the user interaction that counts. Only if all customer touchpoints are considered, the
perspective is sufficiently broadened and clarifying in the end. Based on our contribution to the IoT
analytics solution for the media company HD+, we will address the challenges that a best-practice
platform has to meet. Fast to set up analytics initiatives, data-driven product development and
cloud-native approaches that make the management of such a platform possible in the first place are
essential, complex and therefore so exciting. Learning outcomes: How do I make IoT data usable? How do I incorporate user data into my product development? What does a scaling tech stack look
like?

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Scaling up AI for Confronting Climate Change

datasyncer@sandsmedia.com — Wed, 24 Nov 2021 04:28:25 +0000

Big data and artificial intelligence have enabled numerous applications for humanitarian and social good. In terms of climate change, machine learning, deep learning, and computer vision approaches have proven to be useful for adaptation and mitigation. We’ll highlight nine major areas in which artificial intelligence is key in the fight against this crisis: electricity systems, transportation, buildings and cities, industry, farms and forests, carbon dioxide removal, climate prediction, societal impacts, solar geoengineering. From harnessing deep learning-based computer vision techniques for infrastructure damage assessment after natural disasters using satellite imagery, to utilizing natural language processing technologies to analyze climate-related legislation, we contend that AI is a necessary tool in years ahead. At the same time, sustainable and responsible use of deep learning models is key. Particularly, the notably large energy consumption of AI systems themselves have come under scrutiny; especially with the recent popularity of deep learning (DL) since approximately 2012, high-level computations have raised the overall energy consumption by 300,000 times or more. Balancing this concern, in addition to other considerations like model interpretability, accessibility, and fairness, are crucial challenges to tackle ahead.

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Welcome to the second day of the ML Con

datasyncer@sandsmedia.com — Mon, 15 Nov 2021 13:35:44 +0000

Sebastian Meyen, the conference chair starts with a welcome and introduction of the second day.

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Welcome to the first day of the ML Con

datasyncer@sandsmedia.com — Mon, 15 Nov 2021 13:35:44 +0000

Sebastian Meyen, the conference chair starts with a welcome and introduction of the first day.

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The Future of People

datasyncer@sandsmedia.com — Fri, 29 Oct 2021 07:46:54 +0000

This is a discussion about what the future of people might look like. It’s a deep dive into the technology that will shape our world, how it will affect us culturally, and how technology advancements will also be human advancements. Come hear about how sensors, context, ambient computing, and machine learning can be your future,...

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How to become a fully conversational company?

datasyncer@sandsmedia.com — Tue, 12 Oct 2021 14:20:51 +0000

A few years back, there was the challenge of how to make a company social. How can we deal with social media and the straightforward and fast feedback loop with customers? Nowadays, the most current issue is how we can automate conversations like this. Through conversational user interfaces, machines can speak and understand human language for the very first time! Yes, we are talking about a single platform that can be a voicebot or a chatbot, and that can take service line calls or answer chat messages—and that is deeply integrated into your business software. So whenever there is a significant volume of employees doing repetitive communication tasks, or you need to provide 24/7 service 365 days a year, we see a good opportunity for using conversational user interfaces, aka digital assistants, for automating your customer communication.

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Using A.I to make recommendations for career progression

datasyncer@sandsmedia.com — Thu, 05 Aug 2021 12:48:38 +0000

Despite the wealth of information available to job seekers, choosing careers and transitioning
between jobs remain somewhat random. With thousands of job titles available, it is difficult
for candidates to know what each role entitles and how well-suited they are for various
positions.

Our research aims to break though this complexity and identify the most fitting careers for
every job. To this end, we combine an exhaustive occupational dataset with multivariate
matching algorithms. These algorithms account for the semantic similarity between job
descriptions and for the overlap in the skills required by different jobs.

We find that a significant number of careers lie outside the field in which candidates currently
operate. Furthermore, we define a degree of specialization and use this to quantify the
number of paths open to every job. Finally, we cluster jobs and skills to reduce career map
complexity and obtain several insights related to career progression.

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