From curating content for a fashion magazine as a teenager to being the CEO of The Social Medium, Jessie Chase has had a non-traditional upward trajectory in the digital media industry.
Growing up in New York, Jessie Chase was exposed to various cultures from a diverse population. This fueled her affinity for learning international languages and exploring the world. In 2011, she decided to travel to France for an internship program, to enable her to get a firsthand experience of Europe. Upon arrival, she had her professional debut in the Parisian corporate ecosystem as a studio intern at A.P.C. for two months. Although her stay in Paris was short-lived, she fell in love with the historic city and made a mental note to return in the future.
Inspired by her amazing experience in France, Jessie Chase moved back to New York and enrolled at Barnard College, Columbia University in 2011, to pursue a Bachelor's Degree in French translation and literature. As a student, she actively studied for her degree in tandem with working at A.P.C's New York branch, for 4 years as a sales associate and eventually a merchandising officer.
At 22, having thoroughly learned how to speak French and understood their culture, she traveled back to Paris in 2015 and continued to progress in her career in the fashion industry. However, she gained major experience working with social media applications in her role as a community manager when she got hired at Publicis Luxe in 2019. This job position exposed her to the positive impact of social media on brands, as she was able to maintain a 100% response rate with businesses the company managed, by interacting with them on social media platforms.
Continue reading: https://www.ibtimes.com/story-behind-woman-tech-fueling-digital-transformation-movement-through-social-media-3624693

Our Woman in Tech this week is Padmini Gopalakrishnan, Senior Director, FPGA Implementation Software and AI products at AMD India. She leads a team of over 90 engineers who work on software tools that help customers take designs from a high-level description and implement them on adaptable devices. Growing up, Padmini Gopalakrishnan lived in Bengaluru, Hyderabad, Kolkata, and Saharanpur. The Senior Director, FPGA Implementation Software and AI products at AMD India leads a team in Hyderabad, working on logic synthesis, placement and routing and device modelling among other tasks, crucial in the design of the company’s FPGA Software and Tools.
To Padmini, a stable and conducive environment at home was encouraging for both her sister and herself. It enabled them to be curious and detail-oriented, she says.
“My father was an engineer, my mother is a scientist who later pursued a PhD in management. My father and maternal grandfather were also good at repairing and building things, so from a very young age, I always thought this was a very cool thing to do,” she tells HerStory.
Padmini recalls getting a home computer at the age of 10, an 8-bit Commodore 64, on which she learnt to type, played games and wrote programs in Basic. Continue reading: https://yourstory.com/herstory/2022/10/woman-tech-software-ai-products-amd-india

Ideas are crucial for spurring innovations in products and services. One such innovative leader is Heena Purohit, who plays a major role in providing teams with a framework for maturing their ideas into products for customers. 
Analytics India Magazine interacted with Purohit, head of product at IBM. She is the product lead at IBM’s internal incubator program, which enables IBMers to bring innovative ideas and solutions to the real world. Purohit founded ‘AI for Her’ — a 501(c)(3) non-profit organization on a mission to bring more women and gender minorities into AI. By reducing the AI diversity gap, it helps to build AI systems that are fair and unbiased.
“A typical day for me involves working with various venture teams that deal with emerging technologies and advising them on their product strategy and execution. This includes tasks such as designing and helping teams execute experiments to ensure the venture would be a viable business for IBM, coaching teams on product thinking or, if needed, rolling up my sleeves and supporting the teams in building customer collateral, lead customer/user interviews, and support sales execution.”
Transforming ideas into products 
Purohit says that no two days are alike at work, especially since each venture team is different and is solving a unique customer problem in a distinct way. “And that’s the most fun part of my job!”
She says, “My program is open for IBMers around the world, providing an opportunity to surface and test the best ideas across IBM. This helps in facilitating a culture of innovation and intrapreneurship within the company, while helping IBM build and launch the next generation of products, faster.” She adds that for many teams submissions are ideas and technologies they’ve been working on for years. Being selected in the program finally gives them the opportunity to put their experiments to work and see if they’re actually viable.
Continue reading: https://analyticsindiamag.com/meet-the-woman-behind-ai-for-her/

Did you know that only 26.7% of women work in tech-related jobs for multinational corporations like Amazon, Facebook, and Apple? Seeing as women make up half the world’s population, this gender deficit in the workforce is quite glaring. After all, how can a digital product be for everyone if the very people who make up half the world don’t have a hand in its creation?
Luckily, history has shown that there have been many significant female figures involved in the development and discovery of various technological computer science advances. And with the WikiArabia Conference coming up at the end of the month, our friends at the Emirates Literature Foundation have decided to celebrate the inspiring women whose contributions to the growth of computer science and technology have helped push the field into the future.
Ada Lovelace: The Making of a Computer Scientist by Christopher Hollings, Ursula Martin, and Adrian Rice
Lovelace is often considered the world’s first computer programmer, as she was the first to recognise that machines could be used for more than just calculations, and was the first to write and publish mathematical formulae that could be read by such machines (aka the world’s first “computer program”).
Published in 2018, the book chronicles how Lovelace would go on to become an icon for women working in tech and answer the question of how a young woman in the 19th century, without access to any formal schooling or university education, could acquire the knowledge and expertise that would go on to make her a pioneer in the field of computer science. What makes Hollings, Martin, and Rice’s work such an illuminating read is its use of previously unpublished archival material which not only highlights Lovelace’s inherent brilliance as a mathematician and her deep passion for science but also how her theories and work has gone on to become the basis for all modern technological innovation.
Continue reading: https://whatson.ae/2022/10/whats-on-the-bookshelf-5-inspiring-books-that-value-the-women-in-tech/

In a report released Wednesday, Forescout’s research team, Vedere Labs, have updated their findings on the riskiest devices in enterprise networks in 2022. By analyzing the millions of IoT devices in Forescout’s Device Cloud, they identified recurring attack vectors and how threat actors are taking advantage of the increased proliferation of devices throughout every enterprise.
Key findings of this report include:

• In addition to device types observed as the riskiest in 2020, such as networking equipment, VoIP, IP cameras and PLCs, new entries, such as medical use of hypervisors and human machine interfaces (HMIs) have broadened the attack surface
• Government and financial have the highest risk at 43% for government and 37% for financial
• The ranking of riskiest devices does not change considerably per industry
• The riskiest IT and OT devices remain nearly constant across different regions, while the riskiest IoT devices change slightly, and the riskiest IoMT (healthcare) devices change considerably
• Implementing automated controls that do not rely only on security agents and that apply to the whole enterprise can help reduce risk across an organization

Continue reading: https://informationsecuritybuzz.com/expert-comments/riskiest-iot-devices-cameras-voip-and-video-conferencing/

Artificial Intelligence has one principle: think simple. In almost every sector, artificial intelligence is influencing how people will live in the future. It already serves as the primary force behind developing technologies like big data, robotics, and the Internet of Things, and it will continue to do so for the foreseeable future.
Artificial intelligence is influencing how people will live in the future in practically every area. For the foreseeable future, it will continue to be the driving force behind emerging technologies like big data, robotics, and the Internet of Things.
What industries will AI change?
Specifically, “narrow AI,” which executes objective functions using data-trained models and frequently falls into the categories of deep learning or machine learning, has already had an impact on practically every significant business. The proliferation of connected devices, strong IoT connectivity, and ever-faster computer processing have all contributed to a significant increase in data collecting and analysis during the past few years.
While some industries are just beginning their AI journey, others are seasoned travelers. Both still have a way to go. Whatever the case, it’s difficult to ignore the impact AI is having on our daily lives.
Continue reading: https://www.analyticsinsight.net/the-impact-of-artificial-intelligence-that-will-change-the-world/

According to the FBI’s Internet Crime Complaint Center, business email compromise (BEC) has become the most financially damaging internet crime, with business losses totaling over $43 billion between June 2016 and December 2021. How can an exploit that’s been around this long still be so effective? Surprisingly, it’s because of its low-tech strategy.
Most BEC attacks don’t contain the malicious URLs or dangerous attachments that typical signature-based security tools look for. Instead, BEC attacks use social engineering and spear phishing emails to take over or spoof a business email account to hack business processes in order to defraud a business or its partners.
BEC prevention tools harness machine learning (ML) and natural language processing (NLP) to read and recognize the types of phishing emails used in BEC attacks to alert IT departments and users—and keep them out of inboxes altogether. Organizations have also invested thousands in training programs to prevent users from clicking on phishing emails. Yet, despite the best efforts of people and machines, these attacks evolve rapidly and continue to succeed at a rapid clip.
What’s the solution? A continuous real-time feedback loop of ML and crowdsourcing can help beat the clock and stop BEC and spear phishing attacks in minutes or seconds—before they can do their damage.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/10/14/can-machine-learning-help-prevent-business-email-compromise/?sh=739020533bd3

As industrial field devices, such as instruments, analysers and variable speed drives, become increasingly intelligent, users seeking to access information from them to implement advanced control require improved connectivity. 
Every network requires physical layers, communication protocols, and information models to provide a complete solution. For industrial communications, Ethernet and fieldbuses are well-understood. “When an appropriate form of Ethernet is used in conjunction with a protocol like HART-IP and an information model like PA-DIM, users can obtain the required connectivity and fully unlock the capabilities of industrial communications,” said Paul Sereiko, director of marketing at the FieldComm Group. 
Standard Ethernet transport media, both wired and wireless, is usable for some industrial applications, but it is not always ideal for delivering high reliability in challenging applications. “Two-wire Ethernet-APL is an industrialised form of Ethernet media, spanning greater distances and supplying sufficient operating power to simplify installations,” explained Sereiko. “In the future, we will see a combination of newer physical layers, including different variants of Ethernet, combined with traditional installations such as 4-20mA and fieldbus systems. But standards are needed for consistent data delivery from field devices to host systems.”
Although many industrial protocols exist, Sereiko believes that HART-IP is particularly compelling because it extends the HART protocol, a leading bi-directional digital information exchange method for smart process control field devices, with security and asset management capabilities. HART-IP is a simple-to-use, high-level application technology that operates independently of the underlying physical layer. Additionally, it flattens the industrial control network which means that a PLC- or DCS-based control system can use HART-IP to monitor, control, configure, and obtain diagnostics of intelligent field devices. “Additionally, or alternately, host systems, such as an asset management application, can also use HART-IP to integrate with the field devices directly and concurrently,” pointed out Sereiko.
The Process Automation Device Information Model (PA-DIM) is a specification for protocol-agnostic communication of common process automation instrument parameters, including semantic IDs as defined by IEC 61987, using OPC UA information modelling techniques. Originally developed collaboratively by OPC Foundation and FieldComm Group, today six additional organisations are planning to participate in the continued development of this important standard. These include ISA100 WCI, ODVA, NAMUR, Profibus International, VDMA, and ZVEI. “By eliminating vendor and protocol dependencies, and using a structured hierarchy, PA-DIM ensures parameters can be easily reused among multiple software tools and protocols. This also means that like parameters can be compared – regardless of media, protocol, or field device supplier – in a machine-readable form appropriate for analytics and other computing,” explained Sereiko. 
Continue reading: https://www.controlengeurope.com/article/193061/Industrial-communications--the-next-big-thing-.aspx

Disruptive technologies are transforming transport and mobility – and we’re just at the start of the journey. 
A paradigm shift in how we live and work beckons, with tech advancements promising to make all our journeys fasters, cheaper, more convenient and sustainable.
And as exciting new opportunities emerge for the transportation of goods and people, alternative commercial models will be ushered in that shape the future of business. 
Connecting the dots 
The internet of things (IoT) has been a topic at the very fore of the tech world for some time, but its full potential is still to be realized.
Although businesses are investing in a wide variety of connected solutions, adoption has been somewhat stifled by interoperability limitations. Scalable deployment, in many areas of business tech, has struggled to take off beyond proof of concept.
The challenge remains one of commercial proclivity. Connected business must be driven, at least in part, from the bottom-up – innovations in connectivity must be business-led to succeed. Indeed, where the true value of the IoT is being demanded and unlocked, the market is accelerating. 
Business transport is a case in point, where connected vehicles have already become so much more than simple modes of transport.
Connected commercial vehicles, underpinned by open telematics platforms and their application programming interfaces (APIs), sit at the very heart of Service 4.0 – the marriage of service business operations with smart digital systems.
Demand from fleet operators for greater automation of key business processes has led to data being harnessed like never before. Consequently, the impact on service provision, the flow of goods and the efficient use of transport resources is being felt far and wide. 
Mobile workforces, out on the road, have been metaphorically glued digitally to back offices, and traditional business processes – from company HQs, depots or warehouses to customers – have been transformed.
Continue reading: https://www.techradar.com/features/transforming-business-mobility-with-tech-innovation

This connection allows smart contracts, or lines of code that initiate unstoppable commands, to execute transactions that rely on information not on the blockchain–for example, interest rates, temperatures, and third-party lists–with assurance the information hasn’t been tampered with. Tokens used to verify oracle data are worth more than $4 billion, according to data site CryptoSlate.
Why Do Blockchains Need Oracles?
Oracles themselves are not the source of real-world information, instead, they gather it from existing databases and communicate the data in a reliable way to the blockchain. The relationship between oracles and blockchains is reciprocal. Oracles can receive on-chain data to distribute to external applications like banking apps.
This provides potential new uses for enterprises, such as supply-chain tracking, which traces products from their source to consumers and bonds that rely on third-party interest rates. Existing systems can simply integrate with the decentralized network.
Blockchains and their public ledgers can be compared to a computer without an internet connection; such a device would be unable to search for and take in real-world data. A computer with no internet can only access what is stored on its local hard drives.
Similarly, a blockchain can only access the transactions recorded on its distributed ledger, which limits the number of applications that can be used without real-world information. Oracles provide this internet connection. They enable blockchains to find and access outside information for on-chain smart contracts.
Continue reading: https://www.forbes.com/sites/matthewmastando/2022/10/13/why-do-blockchains-need-oracles/?sh=651ecfbd1bd7

Think about “Buffy the Vampire Slayer.” It was more than a show, it was one of the internet’s first cultural juggernauts: Fans obsessed in chat rooms, they wrote fan fiction, they organized conventions.
People did that for free. They did it because they loved Buffy and they wanted to be part of the world. In some ways they even expanded that universe, imbuing the Buffy “brand” – the intellectual property – with added value.
But what if fans could be rewarded for their work?
“Buffy was amazing television, but think about all of the fan communities around the show,” says Lindsey McInerney, CEO of Sixth Wall, a Web3 entertainment startup, and former head of technology and innovation at Anheuser-Busch InBev. “I think Web3 will give people an opportunity to participate in some of that in a much larger way.”
“Buffy” had a rabid fan base because it was entertaining. And entertainment is a key part of McInerney’s thesis.
“Entertainment will bring the first 100 million, 500 million people to Web3,” McInerney says. That is one reason she co-founded Sixth Wall, along with the actresses Mila Kunis and Lisa Sterbakov and others. They are already cranking out content, including the NFT (non-fungible token)-injected animated “Stoner Cats,” which stars Kunis (along with a wild cast that includes actor Chris Rock and Ethereum blockchain co-founder Vitalik Buterin). Other content that was produced in partnership with animated studio Toonstar is “The Gimmicks,” a raunchy animated wrestling comedy that lets the community help tell the story (here’s my in-depth profile), as well as a “digi-physical” comic book series called “Armored Kingdom,” and soon an upcoming crypto trading card game.
Continue reading: https://www.coindesk.com/layer2/2022/10/13/its-always-the-community-web3-and-the-future-of-movies/

The first generation of blockchain-based messaging platforms are attempting to address the missing pieces of Web3 adoption.
Forget about tracking decentralized autonomous organization votes, decentralized finance transactions, or data breaches across many channels and platforms. Your Web3 mailbox will handle it for you without requiring your phone number or legacy email address. Instead, your wallet address will receive and organize all this information.
At least, these are some of the promises made by Web3 communications companies attempting to build the first generation of blockchain-based messaging platforms: the Web2 experience with Web3 privacy and security, and, most importantly, focusing on Web3 problems.
A wallet’s monthly statements, transaction notifications and hack updates, for example, are some of the contents users could receive in their inbox, explained Swapnika Nag, co-founder of Hashmail — an India-based startup that launched in beta on Oct. 1.
The startup is now offering users the possibility to exchange emails through their existing wallet addresses. “That’s essentially an inbox which feels very much like email, but on the backend, you just connect with your wallet address and your messages,” noted Nag.
Continue reading: https://cointelegraph.com/news/this-is-what-your-email-could-look-like-in-web3

As one of the fastest growing tech hubs in the UK, Manchester has been named as a top city for women seeking jobs in the industry.
While all our lives transition more into digital, a growing number of women are transitioning into different fields across the tech sector. So, as the tech industry receives more investment across the country, experts from FDM Group have collected data to reveal the most prosperous cities women can work in.
They reveal that Cambridge, Manchester, Edinburgh, Bristol, and Leeds offer immense opportunities for employment and growth, pointing to the number of jobs, tech investment, gender pay gap, and average pay in each city.
Sheila Flavell, COO, comments: “Women play an incredibly instrumental role in the tech industry, and while there is still a lot of progress to be made, we are pleased to see so many cities across the UK offering more opportunities in the space.
As this progression has been made, we have also seen an increase in women hired for leadership and senior roles within the business. Last year, we took significant strides in improving everything we do for greater gender equality in the workplace. And from our 2021 gender pay gap report, we are pleased to report a 0.5% mean gender pay gap”.
Here are FDM Groups‘ top UK cities for women seeking a role in the tech industry.
Continue reading: https://businessmanchester.co.uk/2022/10/13/the-top-cities-for-women-in-tech-revealed/

Girls Who Code – While enrolment in computing science and engineering degrees has largely evened out among men and women, the professional participation of women in the technology sphere continues to lag behind
It’s a conundrum. While enrolment in computing science and engineering degrees has, in many jurisdictions, evened out among men and women, the professional participation of women in the technology sphere continues to lag behind.
Though women may enter the STEM workforce with great anticipation, they often encounter what has been termed the “chilly climate” and eventually drop out (the “leaky pipeline”). The “deficit model” attributes this problem of underrepresentation to the lack of education, experience, interest or skill of women (and other marginalized communities), suggesting that the issue will disappear, and STEM workplaces will become more welcoming, if we can fix women’s “lack” of skills, while the opposing view considers fixing STEM from a masculinist culture to one that is welcoming of diversity.
In one area in particular, software development, women’s participation continues to decline. Increasingly, and alarmingly, the information to which we have access is determined by software algorithms, based on our digital identities across platforms. As Mangan (2019) points out, we should be concerned about the under-representation of women in this field not only because of the economic impact, but also because of the social, cultural and political implications of a world “running on software” (p. 64) developed primarily with a male perspective (c.f. European Commission, 2019).
Continue reading: https://www.openaccessgovernment.org/article/girls-who-code-encouraging-girls-towards-stem-careers/145706/

Dive Brief:

• The typical U.S. workplace is not meeting the core needs of working women, a July 2022 survey by Great Place to Work revealed. Of the nearly 4,200 working women who responded, 54% said they’re open to finding a new job in the next six months. One in 10 said they’d like to leave their job, but don’t feel they can.
• To retain top women employees, companies must take four essential actions, Great Place to Work research showed: 1) at a minimum, offer fair pay and promotions; 2) create a psychologically healthy work culture; 3) help employees find meaning at work; and 4) be flexible with remote/hybrid options.
• “The good news is any company can create cultures that support women and help them thrive,” Great Place to Work CEO Michael C. Bush said in a release. The workplace culture survey platform’s 2022 list of Fortune Best Workplaces for Women bears this out. Nine in 10 women who work for companies making the list plan to stay in their job long term; 92% report a willingness to “give extra” at work.

Dive Insight:
An obvious first step to figuring out what female talent want is simply to ask. Employers often skimp on communicating directly with employees when trying to address their needs, panelists at a 2021 Women@Work virtual summit pointed out. Instead of hypothesizing about what the issues are, employers should have one-on-one conversations with their women employees, meet with affinity groups or conduct surveys, one expert suggested.
Continue reading: https://www.constructiondive.com/news/women-workplace-fair-pay-healthy-work-culture/633737/

Figuring out how disruptions in circadian rhythm may cause cancer in young people. Using mathematical equations to stop the transmission of malaria. Harnessing nanotechnology to help patients with facial bone defects.
These big ideas have the potential to change the world—just like the women who are pursuing them.
This year, six female researchers received a 2022 Johnson & Johnson Scholars Award, which honors women in the fields of science, technology, engineering, math, manufacturing and design (STEM2D). In 2017 the company launched the program to fuel development of female STEM2D leaders and feed the talent pipeline by awarding and sponsoring women at critical points in their careers. The goal is to support the research passion of the awarded women and inspire career paths in their fields. The 2022 Scholars will each receive $150,000 in funding and three years of mentorship from Johnson & Johnson.
It's just one of the many ways the company is helping promote women in STEM2D. For example, for the past four years, the company has partnered with Girls Who Code (GWC), an organization that's working to increase the number of girls in STEM and close the gender gap in new entry-level tech jobs by 2030. In 2022 50 students across the U.S.—half of whom come from historically underrepresented groups—participated in the Johnson & Johnson and GWC virtual summer immersion program to learn coding, gain exposure to tech jobs and receive mentoring and coaching.
Indeed, uplifting young women in STEM is an area of passion for these Johnson & Johnson Scholars while they forge a path toward making their own research dreams a reality.
We sat down with these six university researchers to learn more about their work, get a sense of where they see themselves in 20 years, ask about their best advice for other women pursuing careers in STEM and more.
Continue reading: https://www.jnj.com/innovation/these-6-women-in-stem-are-on-a-mission-to-change-the-world

You've heard of "greenwashing," but how about "AI washing"?
Let's dive deeper into this marketing tactic to unpack why companies engage in it and how to steer clear of it:
What is AI Washing?
AI washing is a marketing effort wherein vendors claim their offerings involve artificial intelligence (AI) technology when they really don't or the connection to AI is minimal.
Marketing teams engage in AI washing when they embellish their products' AI capabilities to enhance sales. AI washing is much like "greenwashing," where a company's management team makes unsupported, false or misleading claims about the sustainability of its products, services or business operations.
Why is AI Washing Bad?
AI washing is harmful because it has the potential to turn artificial intelligence into just a meaningless buzzword. This would damage user and investor trust in the technology because those who fall victim to AI washing may not be as willing to purchase and adopt or invest in real AI technology in the future.
Why Do Companies Engage in AI Washing?
Organizations often commit AI washing because:
They Want Funding
Investors are always chasing the hottest trends, and AI-enabled technology fits the bill. As such, investors are all looking for AI-enabled projects to back. That means technology startups, in particular, have an incentive to AI wash because it makes it much easier to get investor funding.
They're Stalling for Time
Some organizations that engage in AI washing really intend to offer AI products and/or services. However, they haven't arrived at that point quite yet, so they act as if their products or services already include AI functionality.
Continue reading: https://www.techopedia.com/ai-washing-everything-you-need-to-know/2/34841

Investors, take note. Your due diligence checklist may be missing a critical element that could make or break your portfolio’s performance: responsible AI. Other than screening and monitoring companies for future financial returns, growth potential and ESG criteria, it’s time for private equity (PE) and venture capital (VC) investors to start asking hard questions about how firms use AI.
Given the rapid proliferation and uptake of AI in recent years – 75 percent of all businesses already include AI in their core strategies – it’s no surprise that the technology is top-of-mind for PE and VC investors. In 2020, AI accounted for 20 percent or US$75 billion of worldwide VC investments. McKinsey & Company has reported that AI could increase global GDP by roughly 1.2 percent per year, adding a total of US$13 trillion by 2030.
AI now powers everything from online searches to medical advancement to job productivity. But, as with most technologies, it can be problematic. Hidden algorithms may threaten cybersecurity and conceal bias; opaque data can erode public trust. A case in point is the BlenderBot 3 launched by Meta in August 2022. The AI chatbot made anti-Semitic remarks and factually incorrect statements regarding the United States presidential election, and even asked users for offensive jokes.
In fact, the European Consumer Organization's latest survey on AI found that over half of Europeans believed that companies use AI to manipulate consumer decisions, while 60 percent of respondents in certain countries thought that AI leads to greater abuse of personal data.
How can firms use AI in a responsible way and work with cross-border organizations to develop best practices for ethical AI governance? Below are some of our recommendations, which are covered in the latest annual report of the Ethical AI Governance Group, a collective of AI practitioners, entrepreneurs and investors dedicated to sharing practical insights and promoting responsible AI governance.
Continue reading: https://knowledge.insead.edu/responsibility/responsible-ai-has-become-critical-business

One of the biggest challenges to deploying and scaling artificial intelligence is ensuring the data being used to train AI algorithms is accurate and timely. Using bad data hampers an organization’s ability to predict future trends and make meaningful business decisions.
Only when high-quality datasets drive AI algorithms can businesses gain valuable information and insight that can help them make critical decisions that could improve customer experience, brand loyalty, supply chain flow and more.
At its core, an accurate dataset provides a representative sample of the population. Given that 97% of the population owns some type of mobile device and 85% have smartphones, location data is well-positioned to provide an accurate accounting of the activities of a given population, especially when used to complement other data sources.
Location data can be used to gather insight into many different parts of a business, such as in-store foot traffic, consumer shopping behaviors or supply chain performance. The insights derived from location data can provide businesses with up-to-date, real-world context of how their customers interact with their company in the physical world.
In addition, businesses can utilize these insights to enable trendspotting and data-driven support for everything from monitoring their supply chain operations to determining the location of their next store. Ensuring that these algorithms are not biased based on the datasets used to train them is of utmost importance, not just for the accuracy of the results but for the business’s reputation.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/10/13/the-importance-of-evaluating-datasets-for-ai-development/?sh=57420cfb128d

1. It Amplifies Outreach Efforts
Small businesses can highly benefit from machine learning and artificial learning (AI) resources. Small businesses typically do not have the bandwidth or resources for an ample amount of outreach. However, the assistance of machine learning and AI would amplify their outreach efforts. Machine learning would also enable the establishment of branding and SEO for the company. - Christina Ramirez, Specialist TeleMed
2. It Provides A Competitive Advantage
Machine learning, when used correctly, could really give a cutting-edge company a major competitive advantage. It could be something as simple as engaging in machine learning to analyze when key sales periods may be at their peak and thus organizing delivery items in a certain area of a warehouse so that delivery times can be reduced. It can also be used to highlight talent efficiencies to see where most time is spent by teams. - Javed Laher, Mediaocean
3. It Highlights Hidden Patterns
Keep in mind that machine learning (ML) is not magic. It requires rigid data hygiene and a big enough set of data. ML can help business leaders spot hidden patterns and valuable insights that otherwise would be impossible to find through a human approach. - Fabio Marastoni, Improvado
Continue reading: 
https://www.forbes.com/sites/forbesbusinessdevelopmentcouncil/2022/10/13/heres-why-machine-learning-benefits-biz-developers/?sh=2591f6f46d42

In one of his many chronicled adventures, famed fictional detective Sherlock Holmes exclaims, “Data! Data! Data! I can’t make bricks without clay.” It’s a quote every business leader can identify with, as today’s enterprises run, thrive and grow on data. Business intelligence collects data and puts it in formats that make it easier to explore, while machine learning uses data and algorithms to mimic (and improve on) the human capability to learn and adapt.
Together, BI and ML can take the “clay” of collected data and turn it into the “bricks” of a stronger business—enhanced customer service, stronger cybersecurity, smarter risk analysis and more. Below, 14 members of Forbes Technology Council share impactful, creative business use cases that leverage the combination of business intelligence and machine learning.
1. Segment Analysis
Companies can use ML algorithms to automatically segment customers or products and use BI tools to further analyze those segments. This would allow companies to better understand their customers and/or products and make better decisions about marketing, sales and product development. Additionally, this approach could help companies save time and resources by automating the segmentation process. - Andres Zunino, ZirconTech
2. Understanding Customer Expectations
Business intelligence and machine learning are vital in today’s workforce, and we can leverage these tools to understand customers’ expectations and stay ahead of the game when delivering the best customer experience. Consumers often view their last, best digital experience as their baseline. It is important to use available technology to better understand their needs in the future. - Ravi Metta, Finastra
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/10/13/14-powerful-business-use-cases-that-combine-business-intelligence-with-machine-learning/?sh=1381cbe25bd6

Artificial intelligence has arguably overstayed its welcome as a buzzword in the technology realm, leading to debates around the efficacy of the tool and the definition of the term for the better part of two decades. In the world of cybersecurity, however, businesses are just beginning to reap the benefits of advanced machine learning models that can actually keep up with ever-changing threats from cybercriminals who have nothing but time on their hands to break algorithm-based defenses.
Historically, cybersecurity as a service has provided some protective measures to customers every few hours, once a day or once a week, and it has since evolved all the way to 24/7/365 hands-on, human-led threat hunting and threat activity.
Both periodic and constant threat detection services are valuable, but they're not good enough to keep up with a threat actor who is able to infiltrate an environment in the time it takes a Tier 1 security analyst to escalate a ticket to their superior in a security operations center. However, using machine learning to automate that process to operate at "the speed of data" can help. In practice, this looks like pushing machine learning-based threat detection out to the edge of an environment, whether it's a network sensor or endpoint agent. When detections are done at the edge without a need for human intervention on the customer or practitioner side, everybody wins.
There's hardly been a better time for critical advancements in the cybersecurity industry. Despite a recent downturn in ransomware attacks worldwide, partly due to the Russia-Ukraine conflict disrupting the most prolific threat groups in the world, companies in virtually all sectors are still at risk of having their data exfiltrated or held hostage by malicious actors they'll never see. Cyberattacks on organizations in the healthcare, education, financial and manufacturing industries have risen dramatically over the past two years despite high-profile breaches raising cybersecurity awareness worldwide.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/10/13/keeping-up-with-the-joneses-is-your-ai-fast-enough/?sh=7d1ee7a1d3f3

Blockchain is reinventing financial services, with digital assets and “programmable money” innovations that offer real utility and new approaches for reducing systemic risks. But customers have lost billions of dollars due to cyber hacking, scams, and unregulated products—and if we can’t trust it, we won’t scale it. It’s time to hardwire security into this emerging system.
As Congress explores legislation to pave the way for stablecoins and cryptocurrencies, we have an opportunity to design a future that lets us reap the benefits of blockchain while minimizing the risks. The transparency, security, and verified identity enabled by blockchain offers a more effective model for protection against bad actors than centralized legacy anti-money laundering (AML) and “know your customer” (KYC) compliance approaches employed by banks and regulators. That said, we will only build trust if we remove pain points and obstacles to making digital assets more secure, scalable, and useful. 
The crypto market today is an archipelago of blockchains, coins, and tokens traversed by a flotilla of centralized exchanges, digital wallets, and bridges between different blockchains. And it’s easy to get lost at sea, because let’s face it, user experience is subpar, and the industry has been stymied by security lapses and weak customer protections. 
Continue reading: https://fortune.com/crypto/2022/10/12/safe-and-secure-crypto-is-closer-than-we-think/

More industries are incorporating blockchain applications into their business, drawing the attention of threat actors — like the recent Axie attack, for example. As a result, many cybersecurity professionals are now finding they are responsible for securing blockchain systems. Unfortunately, even skilled cybersecurity professionals are ill-equipped to secure blockchain applications because it and other decentralized applications bring different risks and threat vectors that can only be mitigated through tailored controls.
Blockchain technology allows untrusted parties to agree on the state of data and applications securely, but that security guarantee is quite narrow. This means that many developers and users assume this security broadly applies to applications built on top of the blockchain. When in reality, that’s not the case. Whether it’s due to code mistakes, breaches or scams, both individuals and big corporations have lost significant amounts of money — in fact, scammers stole $14 billion worth of cryptocurrencies in 2021.
Failing out in the open
Threat actors gravitate toward the easiest targets with the most profit. As we approach a blockchain-reliant future, ensuring that developers and security professionals understand what it takes to secure applications on blockchain is paramount. Threat groups will continue to pivot as security frameworks evolve to better protect traditional assets. A prime example is ransomware groups, which have already adopted blockchain for payment. It is only a matter of time until they pivot their targets to Web3 as well.
Continue reading: https://venturebeat.com/security/implementing-blockchain-why-a-security-strategy-must-come-first/

It’s a simple question that seldom has a simple answer: why do we matter?
Brands struggle on this most basic of questions. Not just small or emerging brands, but big, public brands that have been around for a lifetime or more.
As the global village simultaneously grows closer with technologies designed to connect users and moves further apart with polarizing politics and fiscal policies, a unifying element may well be figuring out why your brand matters and understanding how to make it matter even more. Help may be at hand.
Having worked with a range of companies to tell their stories in disparate industries and geographies – to the public, investors and internally – I have found that the common gravity point for successful market positioning and global growth stories came when we identified why they mattered.
But there was a twist.
There is a common outlying thread as we grappled with the question. That twist? Blockchain as a growth enabler. For years a punchline among futurists as a catchall solution to the world’s woes, blockchain had grown up – and many had failed to notice.
Continue reading: https://www.thedrum.com/opinion/2022/10/12/if-blockchain-the-answer-global-brands-what-the-question