In this video, we look at the eight biggest trends in the field of AI and machine learning. We cover the innovations around natural language processing, creative AI, data centric AI, as well as the democratization of AI via simple self-service user interfaces.
Read more: https://www.youtube.com/watch?v=019HlWMQKCE

Artificial intelligence is more present in our lives than ever: it predicts what we want to say in emails, helps us navigate from A to B and improves our weather reports. The unprecedented speed with which vaccines for covid-19 were developed can also partly be attributed to the use of AI algorithms that rapidly crunched the data from numerous clinical trials, allowing researchers around the world to compare notes in real time.
But the technology isn’t always beneficial. The data sets used to build AI often aren’t representative of the diversity of the population, so it can produce discriminatory practices or biases. One example is facial recognition technology. This is used to access our mobile phones, bank accounts and apartment buildings, and is increasingly employed by police forces. But it can have problems accurately identifying women and Black people. For three such programs released by major technology companies, the error rate was only 1 per cent for light-skinned men, but 19 per cent for dark-skinned men and up to a staggering 35 per cent for dark-skinned women. Biases in face-recognition technologies have led to wrongful arrests.
This is no surprise when you look at how AI is developed. Only 1 in 10 software developers worldwide are women and only 3 per cent of employees at the top 75 tech companies in the US identify as Black. But now there’s hope that the world is about to pivot to a much better approach.
Read more: https://www.newscientist.com/article/2298789-our-global-agreement-on-ai-could-reduce-bias-and-surveillance/#ixzz7DLECSzw8

As a result of the ongoing pandemic, the cyber security industry has continued to accelerate, and has no indication of slowing down anytime soon. With new and innovative methods of hacking affecting businesses of all kinds, the number of cyber attacks is also increasing. A report by DCMS showed that the UK’s cyber security industry is now worth an estimated £8.3 billion – but why do we still see a lack of female representatives for an industry so high in demand?
The industry predominantly remains male-dominated, and this lack of diversity, in turn, means less available talent to help keep up with the rise in mounting cyber threats. Women currently represent about 20% of people working in the field of cyber security, says Gartner. With this in mind, we explore how attracting and embracing more women, and providing equal opportunities within the workplace, is significant for the future of the cyber security industry.
Male dominated subjects
Even at the very beginning of a ‘tech’ based career pathway, a woman’s success is already limited. Females make up only 28% of the workforce in science, technology, engineering and math (STEM) subjects, and are systematically tracked away from these subjects throughout their learning, and pushed towards written and creative arts, narrowing their training and potential positions to go into these fields later in life.
STEM subjects are traditionally considered as masculine by many. All too often, teachers and parents may steer girls away from pursuing such areas – with females making up just 26% of STEM graduates in 2019. Additionally, there is a need for more female STEM teachers, as young girls may feel that they cannot be what they can’t see. Because less women study and work in STEM, these fields tend to create exclusionary male-dominated cultures that are not inclusive of, or appealing to women.
Barriers into the cyber security industry already exist, such as often requiring a minimum of two years of experience for entry level positions. This poses the question: how do you get those two years without being offered an opportunity to gain the necessary skills or lessons? This requirement leads to talented, tech-savvy young women entering non-tech sectors, further enhancing the pattern of fewer women in cyber security, as well as technology as a whole, even if they have trained in that subject.
Continue reading: https://www.information-age.com/encouraging-more-women-in-cyber-security-123497914/

It has become increasingly clear that there will not likely be a definitive “end” to the pandemic — and workplaces are trying to figure out what that means for them moving forward. As tech companies in particular consider whether they want to bring workers back into the office full time, all for full time remote work, or follow a “hybrid” model, there’s another question they should be considering.
Could a “post-pandemic” tech industry finally center women? 
The sins of the industry when it comes to women in tech are well-documented — and we don’t need to rehash them here. Instead, let’s take a look at some ways tech workplaces could reorient in order to better meet the needs of women in the workforce.
Hybrid work
Working some days in the office and others remotely — or “hybrid work” — is often touted as being better for women. That’s likely because women still shoulder a greater burden when it comes to caretaking in the home. From cleaning to cooking to managing the kids’ schedules, women are more likely to work the second shift than are their male partners, regardless of who is making more money at work. 
Hybrid work and remote work, therefore, are viewed as more flexible; more accommodating to the many commitments a working mother likely has. But a recent piece in Politico points out that pre-pandemic hybrid work actually ended up “ghettoizing” moms, as their choice to be at home and not in-office 24/7 was often perceived as not working as hard or not being as much of a team player. 
If more companies are going to offer remote or hybrid work moving forward — which seems to be the case — then clear policy and cultural changes will need to be implemented to ensure that this type of “mommy tracking” doesn’t continue. For example, some companies are requiring hybrid work, which means no one is singled out for choosing to be home some of the time.
Designated meeting hours
Politico describes Etsy’s new “Prime Time” policy, which suggests that teams holds meetings between 11 a.m. and 2 p.m. That makes it easier for parents to work around kids’ schedules. Those meetings can also be held in-office or remotely or in a hybrid manner, creating a working situation that is both structured and flexible. It’s an innovative way to reimagine the work day while keeping working parents in mind. 
Continue reading: https://securityboulevard.com/2021/11/women-in-post-pandemic-tech-industry-avast/

Women in tech may be underrepresented in management positions across the globe, but they are moving mountains with applying tech to future solutions and innovations.
From using AI in classrooms to solving issues related to waste and carbon emissions, and most importantly supporting other women in tech and decreasing the gender gap in access to technological skills.
Here are 10 women changing the future of tech, and the world, with their innovative companies and ideas that are pushing boundaries like never before.
Continue reading: https://www.thetalko.com/10-women-influencing-tech-today/

Life science firm Bayer on Tuesday conducted a field demonstration on use of drones in agricultural operations at its multi-crop breeding center in Chandipa, near Hyderabad.
First such by the firm, it came on the back of Bayer securing approvals to conduct research and development and agriculture spraying operations to make the drone technology available for smallholders.
Stating this the firm, in a release, said, drones can help support more targeted applications of insect, weed and disease-control products. The move will ensure correct dosage and also limit the risk of accidental exposure to chemicals. Besides, drones also offer real-time agronomic advisory to farmers, enhancing farm productivity and fostering sustainability, it said.
Continue reading: https://www.thehindu.com/news/cities/Hyderabad/drones-in-farms-get-wings/article37651406.ece

AnimaMundi Ocean Data Solutions, DJI and Lagoon are using drones to build a comprehensive database of plastic waste on coastlines throughout the world.
AnimaMundi is a not-for-profit organization based in Geneva, Switzerland. Its proprietary technology interprets photo and video records to extract a single-use plastic bottle count. The information can be captured via an app using still photography as well as images from drones. The data is automatically uploaded, processed and stored on the company’s servers. The data will enable decisions to facilitate environmental investments and measure the impact of waste-management initiatives.
The process begins with DJI drones piloted by sailors taking place in the Atlantic Rally for Cruisers (ARC), which started from Las Palmas in the Canary Islands, on Nov. 21. DJI provided drones to Lagoon, a sailing catamaran cruiser maker, to measure plastic waste on beaches around the Caribbean.
Continue reading: https://www.gpsworld.com/boat-owners-use-drones-to-create-global-database-on-plastic-pollution/

Definition of Internet of Things (IoT )
The Internet of Things stands for IoT. Things refer to the items we use in our daily lives (e.g., domestic appliances and electronics). These items, termed the Internet of Things, are accessible or connected through the Internet. A network of physical items incorporated in the software, electrical devices and sensor systems that allow these things to gather and share data may be characterized as the Internet of Things.
The IoT objective is to increase the connectivity of the Internet from ordinary devices such as computers, mobile telephones, and electrical gadgets. Due to various technology convergence, real-time analytics, machine education, computer computer science, commodity sensors, and embedded systems, things have evolved. The Internet is supplemented by traditional areas of embedded systems, wireless sensor networks, control systems, automation (including building automation and home automation), and others. IoT technology is the most synonymous consumer technology with goods that support one or more common ecosystems under the idea of “smart home,” incorporating gadgets and appliances (for example lighting systems, thermostats, security systems, cameras, etc.). In medical systems, the IoT can also be employed.
The growing risk of the IoT is a series of severe issues, in particular in the field of privacy and safety.
2. Sensors Data Management
Data management is the process of collecting and improving the whole accessible data. Different gadgets send enormous quantities and types of information from different applications. The management of all this IoT data requires creating and implementing architectures, rules, practices, and methods that satisfy the whole demands of the data life cycle.
Continue reading: https://securityboulevard.com/2021/11/sensors-data-management-iot-mining-and-analytics/

How many connected devices have you added to your household since March 2020? Be sure to count fitness trackers, speakers, gaming machines and even your Tesla, if there’s one in your driveway. Were you one of the many people who waited months for a Peloton? Don’t overlook your new bike. Now add in all your voice-based assistants, such as Google Home and Alexa. One more thing: don’t forget to check in your kids’ rooms. These might make a difference to your employer’s IoT security. 
In the pandemic, many people purchased new connected devices for their personal entertainment and to make daily life easier. Ordr’s report Rise of the Machines 2021: State of Connected devices —IT, IoT, IoMT and OT found that there were two times more personal devices this year than in 2020.
IoT Security From Home to Work 
Those devices have an impact on cybersecurity. Yes, most companies have a policy that employees aren’t supposed to connect personal internet of things (IoT) devices to the work network. But that doesn’t stop everyone. The Ordr report discovered that many businesses have unauthorized personal devices connected to their network (referred to as shadow devices) at any given time. This isn’t referring to legitimate bring your own device (BYOD) cases, like using your personal phone for work, but instead devices connected to the internet without a business purpose. (BYOD security should also be on your mind, but it’s not exactly the same as these unintended connections.) 
Continue reading: https://securityintelligence.com/iot-security-personal-devices-work-network/

Edge devices aren’t simply things that get bolted onto an existing infrastructure and away you go. Instead, the infrastructure – and the enterprise it supports – needs to adapt data flows and processes, as well as be open to the new possibilities IoT opens up. The catch is that “most enterprises do not know what to do with the technology,” a new eBook from Gartner states. “And if they do have plans for the IoT, there is concern over who will be leading these initiatives.”
Gartner provides four steps to become a truly IoT-savvy enterprise:
Leverage the many facets of the IoT: The IoT isn’t one environment, it’s actually many. “Enterprises will build and adapt their IoT implementations to include a combination of five key architectural components – things, gateways, mobile devices, the cloud, and the enterprise,” the Gartner authors point out. These components have key roles to play in the development of a well-functioning IoT architecture. Things, for example, “can be dumb or smart on their own and store most of their data onboard.” Gateways can make up for any dumbness within the infrastructure, housing the application logic and data while communicating with other devices. Of course, the larger cloud can also make up for the lack of intelligence within things and gateways, acting “as the central connection hub, power analytics, and provisioning data storage.”
Continue reading: https://www.rtinsights.com/building-the-perfect-iot-beast/

When COVID struck, we were all faced with what felt like an impossible situation to overcome. For me personally, I was miles away from my loved ones, juggling to keep up with work as a newly-promoted Vice President, running the household, homeschooling my two bonus-kids (more commonly known as step-children); the list goes on.
The pandemic also impacted one of my personal projects which I've led since 2018, called Smartiz. Smartiz is a year-long free program for 16-year-old girls to encourage interest in STEM studies and careers. The program builds on three pillars: extra Math curriculum, Programming and Mentoring. Sessions on all elements were hosted at Morgan Stanley's office in Budapest to get the girls closer to a real workplace, work with their technical mentors on programming assignments, and to meet with senior mentors to talk about their dreams and careers.
Unfortunately, COVID changed everything. After several crisis meetings we figured out the way forward, including the right platform, and support model, revisited the deliverables and the scope. We decided to focus on complementing the school's educational materials (many institutions are not set up to continue a high-quality education in an online world), ensured the girls had proper development opportunities, and provided stronger psychological support from both professionals and through mentors to eliminate anxiety.
Continue reading: https://www.computing.co.uk/sponsored/4040912/lemons-lemonade-support-generation-female-technologists

"Lack of confidence, plus the misconception that to work for a tech company you have to be able to be extremely technical, hinders the number of women in the tech industry."
Too often, people think you have to be extremely technical to work in the IT industry. They obsess about STEM subjects and engineering degrees, rather than soft skills and real-world experience. For many women, the assumption that you must know your REST from your GraphQL puts them off of working in tech.
It doesn't have to be this way. At the Women in Tech Excellence Awards, we make a point of celebrating the achievements of both technical and non-technical people in the industry: sales, finance, marketing and others.
Alexandra Coulson is head of global marketing at Disguise, and a finalist for Role Model of the Year. We talked to her about her own experiences, her recommendations for women looking to enter the industry, and the Awards:
Why do you support Computing's Women in Tech Excellence campaign?
The best thing about Computing's Women in Tech Excellence campaign is that it celebrates women and highlights our stories - which can be an incredibly powerful tool for other women looking to get into the technology industry, or simply looking for tips to advance their tech career.
Continue reading: https://www.computing.co.uk/sponsored/4040818/interview-alexandra-coulson-disguise

"Allyship is vital in supporting and developing women working in technology"
It's nearly time for the Women in Tech Excellence Awards - a celebration of the inspiring women in our industry, as well as the work they're doing.
We had thousands of entries this year, meaning making the shortlist was an achievement in and of itself: so for a company to have eight finalists, as Morgan Stanley has done, is a stunning victory.
Liezel McCord, head of data governance & data management, explains that the company's commitment to representation and inclusion has helped to support the development of female talent at all levels of the business.
Why is women in technology an important issue for you and Morgan Stanley?
Liezel McCord: A core value of Morgan Stanley's is to commit to diversity and inclusion. The firm aims to create a representative, inclusive and equitable workplace where individuals, their perspectives and backgrounds enrich our collective experience. We want to work in an environment that represents the wider society. Through our internal Women in Technology network, we help to create a more inclusive environment and improve gender balance by empowering female technology talent. A key element, which is vital in supporting and developing women working in technology, is allyship. Allies can show their support in a number of ways, from ensuring female colleagues' opinions and contributions are getting their share in meetings, to professional development and sponsoring or mentoring women throughout their careers. With allies and role models as champions, we raise women's voices to ensure they are being heard.
Continue reading: https://www.computing.co.uk/sponsored/4040845/female-success-about-allyship-morgan-stanley-liezel-mccord

Social media has a funny way of weaving itself into everything: marketing, products, technologies and even the mundane rhythms of our daily lives. Memes become fodder for morning talk shows and dances on TikTok make their way into video games and music videos. Social media content can fuel communities that impact the larger culture. And now, with blockchain technology on the rise, the nature of that impact could change.
That’s because blockchain creates a decentralized database that no single person or entity can change or alter without the consensus of the larger participating group. This consensus format is also what makes it so secure, allowing it to act as a store of value for things including cryptocurrencies and digital goods such as NFTs— a game-changer in a digital world where value was traditionally hard to quantify.
Blockchain technology also means that in digital spaces such as the metaverse the things you own follow you from place to place. Suddenly, your digital selves and objects have a real-world sense of ownership anchored to your digital self—not the digital spaces you inhabit. Without a lot of imagination, it’s easy to see how blockchain’s ability to give a sort of real-world tangibility to our virtual shelves could completely change the way we think of and use social media, from how we buy things to where we work and play to the communities that form around each platform. 
Continue reading: https://adage.com/article/opinion/when-blockchain-calls-how-will-social-marketing-answer/2382811

Bitcoin and cryptocurrencies are supposed to be a gateway that gives the unbanked access to the world’s financial system. Yet crypto startups, trying to adopt and promote those same ideals through the way they conduct business, are finding it challenging to access traditional financial services and payment processing.
After all, most banking institutions still won’t provide services to companies operating in the crypto space. While those banking institutions may recognize the opportunity to continue earning fees and interest off of those crypto companies, many of them still view crypto as high risk, and a threat to the business models that traditional institutions are built on.
While hundreds of smaller banks intend to offer crypto to their customers as a way to hold onto some of the transactions they see heading to Coinbase, Kraken and the like, major banks like JP Morgan and Bank of America still aren’t serving retail customers or crypto-related businesses.
Thirteen years after the Bitcoin whitepaper was published, Mastercard, a company with more than 2.8 billion cards activated around the world, announced just this October that banks and other financial institutions doing business with the company will soon be able to offer crypto services. Until now, those businesses simply couldn’t get access to banking.
Continue reading: https://www.coindesk.com/sponsored-content/why-crypto-startups-need-banking-services-and-banks-need-crypto-too/

Bitcoin halving refers to an event when the pace at which new units of the world's largest cryptocurrency entering circulation is cut in half. 
It's part of an overall strategy to keep the maximum supply of bitcoins fixed, in contrast with fiat currencies like the US dollar, which have essentially unlimited supplies and lose value when governments print too much of it.
How does Bitcoin halving work? 
To understand how Bitcoin halving works, first you need to know the basics of how the cryptocurrency is created.
Bitcoins come into existence by way of a decentralized system, in which people known as miners use high-powered computer systems to solve cryptographic puzzles in order to verify and validate transactions on the Bitcoin ledger, known as the blockchain. In return, they receive payment in the form of newly created bitcoins. Bitcoin mining is a competition of sorts. Miners are essentially racing to be first to add new blocks to the blockchain. For each block added, they receive a certain number of new bitcoins as a reward. The originator of Bitcoin programmed the block reward to be cut in half at regular intervals.
Continue reading: https://www.businessinsider.com/bitcoin-halving

Whether or not you fully understand the intricacies of it, the concept of blockchain technology is a fascinating one. The tech has the power to change the way business is done globally. It may allow for more precise and secure tracking of financial transactions and enable processes that used to take weeks to be completed in a matter of seconds.
Blockchain is a complicated process. In essence, the technology allows for decentralized confirmation of transactions that get added to a chain of transaction “tracks” over time. This makes it exceptionally difficult to hack and gain access to funds. Ultimately, blockchain is advertised as one of the most secure means of making major online financial transactions safely and effectively.
As more and more companies begin to move their platforms online and reach a wider global audience, having greater security is important. Blockchain stands to play a profound role in this. It can also provide a more open-source option, which can increase social benefits and transparency for everyone. In our more and more connected world, blockchain adoption is an important tool in our future.
Continue reading: https://www.paymentsjournal.com/why-blockchain-adoption-is-important-for-our-future/

Creating a cryptocurrency from scratch isn’t easy. It requires extensive knowledge of various programming languages and knowledge of blockchain use cases, among other things. Instead of going through that effort, those newer to the crypto space wanting to build their own project tend toward tokens. 
Tokens are a crypto asset that exists within an ecosystem, like a project built on Ethereum. A token may be compatible with all Ethereum-based assets sharing the same token standard but wouldn’t be compatible with cross-chain cryptocurrencies.
Essentially, tokens enable one to build their blockchain-based business or idea without the massive effort required to build a cryptocurrency from scratch. However, creating it comes with its own set of problems such as legality, fees, and smart contract security. 
A crypto security standard
With decentralized finance (DeFi) applications on the rise, platforms are suffering from more hacks than ever before. DeFi hacks caused over $1.9 billion in users’ losses so far in 2021, meaning token security is more vital than ever. Unfortunately, there’s no easy solution to such threats.
Continue reading: https://cointelegraph.com/news/how-to-enhance-defi-security

As providers continue to target improved patient outcomes, more organizations are utilizing artificial intelligence, data analytics, and machine learning. However, organizations should follow ethical standards to ensure positive results when implementing new technology such as artificial intelligence.
To uphold ethical standards and continue improving their AI practices, Intermountain Healthcare created a Data Science and Artificial Intelligence Center of Excellence.
“We’ve been doing this work in data science and artificial intelligence for a very long time, and it became apparent that there was a need for consistency and standards. We also wanted to provide ethical oversight of some of the work that we’re doing,” Assistant Vice President of Analytics Services at Intermountain Healthcare Greg Nelson told HealthITAnalytics.
The new model brings together experts from multiple disciplines, including data analytics, applied mathematics and statistics, computer science, behavioral sciences, econometrics, computational linguistics, clinical informatics, and clinical specialists.
The collaborative effort produced large datasets that the artificial intelligence system could sort through accurately and efficiently.
Continue reading: https://healthitanalytics.com/features/ethical-artificial-intelligence-standards-to-improve-patient-outcomes

EEE released the results of “The Impact of Technology in 2022 and Beyond: an IEEE Global Study,” a new survey of global technology leaders from the U.S., U.K., China, India, and Brazil. The study, which included 350 chief technology officers, chief information officers, and IT directors, covers the most essential technologies in 2022, industries most impacted by technology in the year ahead, and technology trends through the next decade. 
The most important technologies, innovation, sustainability, and the future
Which technologies will be the most important in 2022? Among total respondents, more than one in five (21%) say AI and machine learning, cloud computing (20%), and 5G (17%) will be the most important technologies next year. Because of the global pandemic, technology leaders surveyed said in 2021, they accelerated adoption of cloud computing (60%), AI and machine learning (51%), and 5G (46%), among others.
Therefore, it’s not surprising that 95% agree — including 66% who strongly agree — that AI will drive the majority of innovation across nearly every industry sector in the next one to five years.
When asked which of the following areas 5G will most benefit in the next year, technology leaders surveyed said:
Continue reading: https://www.securitymagazine.com/articles/96586-artificial-intelligence-machine-learning-cloud-computing-5g-will-be-most-important-tech-in-2022

Artificial intelligence (AI) was once the stuff of science fiction. But it’s becoming widespread. It is used in mobile phone technology and motor vehicles. It powers tools for agriculture and healthcare.
But concerns have emerged about the accountability of AI and related technologies like machine learning. In December 2020 a computer scientist, Timnit Gebru, was fired from Google’s Ethical AI team. She had previously raised the alarm about the social effects of bias in AI technologies. For instance, in a 2018 paper Gebru and another researcher, Joy Buolamwini, had showed how facial recognition software was less accurate in identifying women and people of color than white men. Biases in training data can have far-reaching and unintended effects.
There is already a substantial body of research about ethics in AI. This highlights the importance of principles to ensure technologies do not simply worsen biases or even introduce new social harms. As the UNESCO draft recommendation on the ethics of AI states:
Continue reading: https://theconversation.com/defining-whats-ethical-in-artificial-intelligence-needs-input-from-africans-171837

In this day and age, almost every aspect of our lives is influenced in some way by artificial intelligence. AI powers everything from which video plays next when you’re watching YouTube to whether your job application is accepted or your insurance claim is approved.
Whether we like it or not, our fate is often determined by algorithms that see us as a cloud of data points, not as humans. So, when we apply this technology to a space as fundamental to our society as education, we must make sure that our approach is responsible and equitable—treating the people affected by our tools as human beings.
AI Meets Edu
One of the primary applications of AI is to massively increase an organization’s capacity to do tasks that require some form of reasoning. In education, this increase in capacity is already showing up in numerous forms. At its most basic, grading of multiple choice quizzes and tests is now essentially instantaneous. But machine learning can do much more with that data. For example, it can show where students are thriving and where they need more academic support or even dynamically personalize instructional content to help a child learn effectively.
Continue reading: https://www.edsurge.com/news/2021-11-23-artificial-intelligence-in-schools-demands-real-world-responsibility

Recent advances in artificial intelligence have caused a surge of public and business interest in this remarkable technology. Though most of its applications are still in their infancy, professionals across a wide range of industries have begun using AI-infused assistants to accomplish various tasks. This accelerated pace of innovation and data usage has, however, led to increased uncertainty about just where machine learning and thinking is headed, and the impacts it will have on society. In terms of positive effects, I certainly see some standouts.
Running high-information scenarios with less error
AI can consider multiple scenarios and make educated decisions using both previously gathered information as well as real-time data. As a result, the errors are reduced and the chance of reaching broader accuracy and greater precision is much greater. Example: The forecasting of weather and other natural disasters such as earthquakes and tsunamis.
Reducing risk
Robots applying machine learning can risk dangers that might otherwise be lethal for humans. Think of exploring space or the deepest parts of oceans, defusing a bomb or inspecting unstable structures. Example: In the still-lethal areas of the Chernobyl nuclear disaster site in Ukraine, robots are conducting radiation surveillance, removing debris from the destroyed reactor, taking samples of radiological materials and even burying radioactive materials.
Continue reading: https://www.entrepreneur.com/article/381273

It has always been crucial for businesses to make informed decisions on how they should act and develop further. In other words, business intelligence is one of the most precious investments for companies nowadays. It helps them increase their user base, sales, customer retention and reduce unnecessary overheads. Business intelligence strongly depends on data analysis, which gets increasingly complex as businesses grow.
Thanks to the development of artificial intelligence this incredibly complex and difficult process has been automated for the most part. So, let’s see how artificial intelligence is leveraged in the casino business, as it is one of the fastest-growing industries of today.
Increase in User Engagement and Acquisition
Online casinos strongly rely on their user incentives, or bonuses and promotions in order to acquire new customers. However, they also have an incredibly diverse audience, and they need incentives that cater to all of them. Generally, you can see them offer free spins, but now we also have the best bingo bonus offers, as a lot of casual users simply play those lottery games. This is possible via AI and monitoring user behavior on the platform. Instead of solely focusing on slot games, which is something every platform does, casinos can use this data analysis to find out what other growth potentials are untapped.
Continue reading: https://www.analyticsinsight.net/how-artificial-intelligence-and-technology-are-changing-casinos/

An industrial aerial robotics company that has shifted from Hamilton to Timaru intends to start manufacturing farm drones in 2022.
“The plan is we will grow, developing a few projects to big volumes linked to agriculture and pest control,” Aeronavics operations manager Colin Roycroft said.
The company has shifted into premises at Washdyke alongside biotech company South Pacific Sera (SPS) in recent weeks, the connection being Aeronavics chairman and shareholder, John Rolleston, operated SPS with his brother William Rolleston.
“Initially we’ll target farmers,” Roycroft said.
“Some of the work that farmers do can risk lives, and we can ease the load.”
A drone could be used to monitor and gather data over remote and dangerous terrain, Roycroft said, as well as monitor soil and water quality, check stock and perform other on-farm environmental tasks.
“We’re still in the design stage. They’re not toys, they’re industrial and commercial products.”
Continue reading: https://www.stuff.co.nz/timaru-herald/news/127059708/drone-company-touches-down-at-timaru-location