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Innovation Trailblazers Webinar Mini Series - Digital Transformation 2.0 Acceleration Frameworks - 2021 - Silicon Valley Insurance Accelerator


This series defines that environment & provides a framework to align current efforts with a 2.0 Future. What are the 2.0 Underwriting Requirements? How are new data sources, machine learning and AI, and RPA automation being used to address them? How does that change digital transformation efforts. One of InsurTech's top influencers, author, speaker and consultant in connected insurance, innovation, transformation and leadership.



The graph represents a network of 1,251 Twitter users whose tweets in the requested range contained "#iiot", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 September 2021 at 21:00 UTC. The requested start date was Tuesday, 14 September 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 1-day, 16-hour, 41-minute period from Sunday, 12 September 2021 at 07:20 UTC to Tuesday, 14 September 2021 at 00:01 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

What Will Online Learning Look Like in 10 Years? Zoom Has Some Ideas - EdSurge News


Last March, Zoom, the ubiquitous online conferencing platform, became a staple of daily life for many students and educators as learning shifted online. Millions downloaded it--and first learned of it--back in early 2020, when lockdowns forced billions of students online, and at least 100,000 schools onto Zoom. But as the company itself will tell you, it didn't spring up overnight. Zoom is actually a decade old, and the first conferences launched in 2012, limited to a mere 15 participants. While post-pandemic growth has slowed as schools resume in-person learning, the company is still flush with cash, reporting over $1 billion in revenue in the second quarter of 2021.

Deploying Artificial Intelligence At The Edge


Rapid advances in artificial intelligence (AI) have made this technology important for many industries, including finance, energy, healthcare, and microelectronics. AI is driving a multi-trillion-dollar global market while helping to solve some tough societal problems such as tracking the current pandemic and predicting the severity of climate-driven events like hurricanes and wildfires. Today, AI algorithms are primarily run at large data centers, that is in the cloud. For this intelligence to be used at the edge, data must be transmitted to the cloud, analyzed there, and the results transmitted back to the edge – a device in the field of operation, whether it is a sensor tracking the strength of a bridge, a mobile phone, a medical implant, or an autonomous vehicle. The problem with the current approach of using AI primarily in the cloud is that it consumes much energy and can introduce data transmission delays and security vulnerabilities.

How Artificial Intelligence Is Changing Cybersecurity


When it comes to technology, artificial intelligence (AI) is a hot topic. As more designers and programmers integrate AI into their online platforms, it's clear that AIs are more than just science fiction. In fact, using artificial intelligence is well on its way to becoming a standard practice. One of the many industries interested in advancing AI to enhance its tech is cybersecurity. For some, AI programs offer exciting capabilities that reinvent what users expect from security services.

Making Sense of the Data & Your AI Strategy!


The volume of data keeps growing. Statista believe that 59 Zettabytes were produced in 2020 and that 74 Zettabytes will be produced in 2021. A Zettabyte is a trillion gigabytes! Artificial Intelligence (AI) deals with the area of developing computing systems which are capable of performing tasks that humans are very good at, for example recognising objects, recognising and making sense of speech, and decision making in a constrained environment. It was founded as a field of academic research at the Dartmouth College in 1956.

Ex-Google exec describes 4 top dangers of artificial intelligence


California's Senate last week advanced a bill that would force Amazon (AMZN) to reveal details behind the productivity-tracking algorithm used in its warehouses; meanwhile, Facebook (FB) this week faced criticism over a Wall Street Journal report finding it knows its Instagram feed makes some teenage girls feel worse about themselves. These developments make up a backlash not necessarily against big tech, so much as its algorithms, which use artificial intelligence (AI) to adapt performance for individual users or employees. In a new interview, AI expert Kai-Fu Lee -- who worked as an executive at Google (GOOG, GOOGL), Apple (AAPL), and Microsoft (MSFT) -- explained the top four dangers of burgeoning AI technology: externalities, personal data risks, inability to explain consequential choices, and warfare. "The single largest danger is autonomous weapons," he says. "That's when AI can be trained to kill, and more specifically trained to assassinate," adds Lee, the co-author of a new book entitled "AI 2041: Ten Visions for Our Future."

Xiaomi unveils Pad 5 productivity tablet and Mi Smart Band 6 with NFC


Xiaomi has also launched a new tablet, the Pad 5, and an NFC version of the Mi Smart Band 6 today, in addition to its new Xiaomi 11 smartphones. The Pad 5 was designed with productivity in mind, specifically as a tool meant for people working or studying from home. It comes with the company's Smart Pen, which can be used to take notes or to quickly take screenshots with its function keys. The tablet has an 8-megapixel front camera that supports 1080p video for meetings and classes. It also has built-in capability to scan documents for later use or for sharing using its 13-megapixel rear camera.

Everyone will be able to clone their voice in the future


Cloning your voice using artificial intelligence is simultaneously tedious and simple: hallmarks of a technology that's just about mature and ready to go public. All you need to do is talk into a microphone for 30 minutes or so, reading a script as carefully as you can (in my case: the voiceover from a David Attenborough documentary). After starting and stopping dozens of times to re-record your flubs and mumbles, you'll send off the resulting audio files to be processed and, in a few hours' time, be told that a copy of your voice is ready and waiting. Then, you can type anything you want into a chatbox, and your AI clone will say it back to you, with the resulting audio realistic to fool even friends and family -- at least for a few moments. The fact that such a service even exists may be news to many, and I don't believe we've begun to fully consider the impact easy access to this technology will have.

Top Snowflake Interview Questions


Snowflake is a cloud data warehouse provided as a software-as-a-service (SaaS). It consists of unique architecture to handle multiple aspects of data and analytics. Snowflake sets itself apart from all other traditional data warehouse solutions with advanced capabilities like improved performance, simplicity, high concurrency and cost-effectiveness. Snowflake's shared data architecture physically separates the computation and storage which is not possible by the traditional offerings. It streamlines the process for businesses to store and analyze massive volumes of data using cloud-based tools.