In April of 2021, the U.S. Federal Trade Commission — in its “Aiming for truth, fairness, and equity in your company’s use of AI” report — issued a clear warning to tech industry players employing artificial intelligence: “Hold yourself accountable, or be ready for the FTC to do it for you.” Likewise, the European Commission has proposed new AI rules to protect citizens from AI-based discrimination. These warnings, and impending regulations, are warranted. 
Machine learning (ML), a common type of AI, mimics patterns, attitudes and behaviors that exist in our imperfect world, and as a result, it often codifies inherent biases and systemic racism. Unconscious biases are particularly difficult to overcome, because they, by definition, exist without human awareness. However, AI also has the power to do precisely the opposite: remove inherent human bias and introduce greater fairness, equity and economic opportunity to individuals on a global scale. Put simply, AI has the potential to truly democratize the world. 
AI’s reputation for reflecting human bias 
Just as a child observes surroundings, sees patterns and behaviors and mimics them, AI is susceptible to mirroring human biases. So, tech companies, like parents, carry the weighty responsibility of ensuring that racist, sexist and otherwise prejudiced thinking isn’t perpetuated through AI applications. 
Unfortunately, AI’s unsavory reputation in that respect has been rightly earned. For example, in January of 2021, the entire Dutch government resigned after it was revealed that it used a biased algorithm to predict which citizens would be most likely to wrongly claim child benefits, which forced 26,000 parents (many selected due to their dual nationalities) to pay back benefits to the tax authority without the right to appeal.  
Continue reading: https://www.entrepreneur.com/article/389964

AI is everywhere, but how does it make decisions, balance society, and remain free from bias?
These days, technology is making leaps in an unprecedented manner. In the palm of our hands, we can see and talk to someone from the other side of the world. We can order everything from a nice, warm meal, even to a car with just a few clicks. In the whole of human history, it's never been so easy to connect and consume at the same time.
At the heart of our modern conveniences are a mix and match of various types of emerging technology, including artificial intelligence. While it's easy to think AI is all sunshine and roses, the reality is a little more complex than that. But, what is AI, and why should we be a little worried?
What Is Artificial Intelligence (AI)?
Behind every type of artificial intelligence is an algorithm, programmed code meant to simulate human intelligence by machines. Some of the most common applications for AI include natural language processing, speech recognition, and machine vision. From a practical standpoint, AI helps businesses optimize products, manage inventory and logistics.
Continue reading: https://www.makeuseof.com/ethical-dilemmas-in-artificial-intelligence/

Against the odds and in record time, pharmaceutical companies have produced groundbreaking vaccines and therapeutics that promise a sustainable recovery from the coronavirus pandemic. It’s been a truly remarkable accomplishment, and their use of data and artificial intelligence to accelerate progress holds important lessons for every sector and company.
First and foremost is the imperative to embrace these rapid technological advances that are driving the fourth industrial revolution. For any company that wants to position itself for growth, betting on this agenda is an insurance policy for long-term success. Big data and A.I. radically improve innovation, speed, and agility, which are the lifeblood of all effective organizations.
Against this backdrop, it’s alarming that 76% of C-suite executives say they struggle with how to scale A.I., according to Accenture’s research, even though 84% believe it is critical to their business objectives. But perhaps we shouldn’t be so quick to judge. After all, 90% of the data in the world was created in the past two years, and forecasts suggest 175 zettabytes of data will be produced by 2025.
It’s hardly surprising that collecting, storing, analyzing, and consuming such huge volumes of information remains out of reach for most organizations. But that urgently needs to change if they want to keep pace and differentiate in the new, technology-led global economy. 
Continue reading: https://fortune.com/2021/10/27/ai-artificial-intelligence-business-strategy-data-accenture/

Today many executives realize that the future success of their business may depend on the ability to effectively implement an AI strategy, to keep pace with rapid AI-driven digitalization across almost all sectors and industries. 
Businesses want to leverage the immense benefits of AI, including the ability to deliver data-driven insights, improve product-to-market fit, reduce operational costs, and increase customer satisfaction. However, many do not realize what it truly takes for an organization to be AI-ready. The cultural and technological shifts can be challenging, but the rewards can mean a windfall for your company.
The question is how to implement AI in the best possible way. The following steps can help your organization overcome the barriers to successful AI adoption.
#1 Identify the Business Challenges You Want to Solve with AI 
AI can do many things, and the team responsible for implementing a specific AI solution needs to first and foremost look at the drivers for the business in terms of both challenges and opportunities, and how AI can apply to them. This approach enables the team to measure the time and investment required to make AI work against the value of the business case.
Continue reading: https://insidebigdata.com/2021/10/27/seven-steps-to-effective-ai-adoption-for-your-enterprise/

City FM has been at the forefront of connected estates for over 15 years. Working in partnership with customers to connect assets across multiple sites has led to an explosion in the amount of available data, with over 17 trillion data points being monitored through machine learning solutions across City’s customer portfolio.
What is IoT for asset management?
Since the early 2010s, the discipline of facilities management has been transformed by the Internet of Things (IoT). Whereas previously, manual checks and reporting on equipment, maintenance requirements and day-to-day processes were the norm, now largely automated connected systems can perform these tasks much more efficiently.
While the technology used for IoT facilities management can vary, most systems tend to use a network of sensors that collect data and feed it back to a central cloud, where it can be analyzed to inform decision making. The power of IoT allows businesses to leverage the value of data to create efficiencies and drive profit.
Continue reading: https://www.publicsectorexecutive.com/articles/connecting-assets-internet-things

The Internet of Things (IoT) presents an abundance of opportunities across markets from factories, retail, and worksites to offices and homes. In fact, McKinsey’s Global Institute predicts IoT will have an economic impact between $4 and $11 trillion by 2025. One area gaining momentum is asset tracking, as businesses invest in smart technologies to better monitor goods and increase productivity and profitability. More devices are expected to connect to the internet as organizations continue to shift toward a more IoT-focused business strategy, and those devices will require some form of localization capability either at the point of install or through an asset’s lifecycle. Asset management solutions through geolocation will play a critical role in connecting these devices and providing precise location management.
Existing asset management and tracking solutions that use components such as GPS or Wi-Fi are complex in design and high in cost. The high power consumption of GPS devices also forces customers to frequently replace batteries and manage upkeep, which is a costly and time-consuming operation and in many cases is nearly impossible due to assets existing in hard-to-reach areas. Working through a manual registration process for GPS sensors also opens the door to human error where logs and trackers need to be manually updated.
Continue reading: https://www.iotforall.com/simplifying-asset-management-with-geolocation

A cooperative program between several schools at the university's campus hosted students from Troy and Hudson high schools last week to get hands-on lessons in technology used for homeland security.
A select group of high school students took a trip to a lab on the University Albany downtown campus Thursday to learn how to fly drones and use them against security attacks. "The goal is to get them interested and having hands-on experience and determining if this is the field they want to go in," said Dr. Marcie Fraser, instructor for New Visions Questar III and an adjunct professor at UAlbany's College of Emergency Preparedness. "Homeland security and the protection of homeland security is our goal, to teach them how to work effectively to counter terrorism and to identify terrorism," Fraser added.  
Continue reading: https://www.govtech.com/education/k-12/high-schoolers-learn-to-fly-drones-at-university-of-albany

The Civil Aviation Ministry has notified a traffic management framework for drones under which public and private third-party service providers will manage their movement in the airspace under 1,000 feet.
Current air traffic management (ATM) systems have not been designed to handle the traffic from unmanned aircraft, the framework issued on October 24 stated.
"Integration of unmanned aircraft in the Indian airspace using conventional means may require unmanned aircraft to be equipped with bulky and expensive hardware, which is neither feasible nor advisable," it noted.
This requires the creation of a separate, modern, primarily software-based, automated UAS (unmanned aircraft system) Traffic Management (UTM) system, it said, adding that such systems may subsequently be integrated into traditional ATM systems.
Continue reading: https://www.business-standard.com/article/technology/govt-notifies-framework-for-traffic-management-of-drones-in-lower-airspace-121102601172_1.html

DJI drones could be banned in the US if FCC commissioner Brendan Carr has them moved onto the Federal Communications Commission 'Covered List'. If the plea is successful, DJI will join Huawei, ZTE Corporation and three others on a list of companies deemed to pose an unacceptable risk to national security. 
In the last few years the best camera drones have become more popular with amateur and professional photographers as priced have dropped. DJI drones are made in Shenzhen, China – and Carr has accused the company of collecting vast amounts of data. In other words, acting as Chinese surveillance.  
In a letter to the FCC Carr explained: "DJI drones and the surveillance technology on board these systems are collecting vast amounts of sensitive data – everything from high-resolution images of critical infrastructure to facial recognition technology and remote sensors that can measure an individual's body temperature and heart rate."
Continue reading: https://www.digitalcameraworld.com/news/dji-drones-could-be-banned-from-the-us-due-to-alleged-risk-to-national-security

Expert human drone pilots have proven incredibly adept at piloting UAV through complex courses at high speeds which are still unmatched by autonomous systems. But researchers at the University of Zurich and Intel Labs are collaborating to change that, and their work, recently presented in the journal Science Robotics, could have far-reaching implications for the future of commercial drones.
"Autonomous navigation in environments where conditions are constantly changing is restricted to very low speeds," explains Matthias Müller, Lead of Embodied AI Lab at Intel Labs. "This makes drones unable to operate efficiently in real-world situations where something unexpected may block their path and time matters."
That's obviously a big impediment to safely rolling out drones for commercial use. The solution seems to be harnessing the decision-making abilities of expert pilots to train drones to function autonomously.
Continue reading: https://www.zdnet.com/article/watch-these-autonomous-drones-zip-through-the-woods/

Diversity and inclusion strategies remain a hot topic in board rooms across the globe. Over the past several years, technology companies have been heavily criticized for the low representation of women and minorities in technical and leadership roles. Many of these companies have since created hiring metrics and programs to recruit new talent. However, this isn’t a problem that can be fixed overnight. While women comprise nearly half the workforce, they hold only 28% of the jobs in science, technology, engineering, and math (STEM), according to the National Girls Collaborative Project.
To change these figures, women must want to work in STEM and they need the educational background to perform the work. New foundations and programs such as Girls Who Code, Women in STEM and Latinas in STEM create an environment where young girls and women are encouraged to enter STEM fields. These organizations provide a vital sense of community, mentorship and advocacy. Signing on for a college program is one way to move into the AI field, but there are numerous educational paths to gain practical skills, from online courses to in-person events. Technology conferences play a crucial role in attracting and educating a diverse population about opportunities in emerging careers such as artificial intelligence. 
Continue reading: https://www.forbes.com/sites/maribellopez/2021/10/25/nvidia-broadens-focus-on-women-in-stem-at-gtc/?sh=37cd132e6e19

During the pandemic, many employees—and their bosses—realized that remote work is a viable option. Now it’s even easier for employees to change jobs without leaving their home offices.
On the downside, your company could quickly lose skilled talent to competitors. On the upside, your company’s location is no longer a potential detriment to recruiting.
That level-ish playing field means companies must rely more heavily on their differentiators, like technology and work culture, to attract and retain talent. This is especially true in the tech space, where an emphasis on a company’s equity and inclusion practices might be the key to attracting diverse talent.
GENDER DIVERSITY IS AN INDUSTRY PROBLEM
According to a 2018 report, 57% of the U.S. workforce is made up of women, but only 26% of technology-related positions are held by women. The situation is even worse for women of color.
STRATEGIES TO INCREASE DIVERSITY IN TECH
With intense competition for talent from a too-small pool of qualified employees, we’ve adopted several strategies to increase diversity in tech:
Continue reading: https://www.fastcompany.com/90687814/the-cios-greatest-recruitment-challenge-diversity-in-tech

Half of women in tech feel the industry is a boys club, but more than 60% are seeing signs of progress in spite of that. 
According to a new study from AnitaB.org, a nonprofit that works to advance women in computing and holds the Grace Hopper Celebration, women in tech are still feeling the effects of being a minority in their field. Although tech companies have made some moves in the past several years to create a more diversified and inclusive industry, women still facing plenty of challenges, particularly during the pandemic.
"There are women who were worried that their bosses would start to think, 'Oh, I saw a little girl on your lap. I heard you say that your school's closed. I know you've got three kids.' In their minds they're thinking, 'I've got to prove that this is not going to harm my output,'" said Brenda Darden Wilkerson, president and CEO of AnitaB.org.
Fifty-three percent felt they needed to prove their worth to their employers, particularly during the upheaval of COVID-19, including advocating more for themselves. 
Continue reading: https://www.cnet.com/news/the-tech-industry-is-a-boys-club-new-report-says/

Today’s Woman in Tech: Shanea Leven, co-founder and CEO of CodeSee
Shanea Leven is founder and CEO of CodeSee, a developer tool that helps developers and teams better onboard, review, and understand codebases. Prior to CodeSee, Shanea led teams that delivered high-quality products and features for leading companies including Google, Docker, eBay and Cloudflare.
Follow Shanea on Twitter @ShaneaLeven or CodeSee @CodeSeeio.
When did you become interested in technology?
When I was young, my mom bought us a computer. It ran Windows 95, and it just sat there. No kidding, I had very little interest in the machine. When my mom remarried and our families converged, the computer happened to be put in my room. And it was connected to the internet. I immediately saw the opportunity to connect with people from all over the world, who could be who they wanted in this digital world, and I was hooked. I thought that was the coolest thing.
How did you end up in your career path? What obstacles did you have to overcome?
I chose my path very deliberately. Once I was able to see that the world was actually really accessible in light of the internet, I realized I had a lot of choices. I started my career focusing on business-adjacent things, like accounting, administration, and staffing. I ended up becoming a product analyst, where my job was to make really elaborate Excel reports. That’s how I started programming. I wrote macros in Excel. I quickly realized I could make programs do what I wanted. It was empowering to tackle issues with programming. So, I went back to school to study computer science. Eventually, I started a web development and social media company — my first dip into entrepreneurship.
Continue reading: https://jaxenter.com/women-in-tech-leven-175779.html

On the back of substantial recent growth, the cryptocurrency market is now worth trillions of dollars. Much of that success comes from all the potential uses for its underlying blockchain technology. Because blockchains were first introduced with digital currencies, it makes sense that blockchain applications in finance are some of its most promising uses.
A simple explanation of blockchain is that it's a decentralized ledger that records transactions. For financial service companies, this technology could be a path to faster and cheaper transactions, automated contracts, and greater security. Although blockchain technology still has a long way to go for widespread adoption, it's already being used by quite a few financial institutions.
Uses for blockchain in the financial services industry
Here are a few of the many uses for blockchain in the finance industry:

• Money transfers
• Added transaction security
• Automation through smart contracts
• Customer data storage

Let's take a closer look at how financial companies could implement blockchains for the uses above -- and why they'd want to.
Continue reading: https://www.fool.com/investing/stock-market/market-sectors/financials/blockchain-stocks/blockchain-in-finance/

The Hamburg-based AI company Synergeticon, the ARIC Hamburg association and the proTechnicale initiative are raising the visibility of AI and promoting women in the sector, which holds all kinds of exciting career opportunities. Hamburg News’ interview series "Female AI - four questions to Women in AI" features women who have already gained a foothold in the industry. 
Our latest interviewee, Dr.-Ing. Susan Wegner, is responsible for the "Artificial Intelligence & Data Analytics" business unit at Lufthansa Industry Solutions in the Hamburg Metropolitan Region. Wegner has over 15 years of experience in machine learning, AI and platform/software design, and previously worked for Deutsche Telekon and Bosch, among others. A computer scientist and mathematician by profession, AI quickly became her focal point. Wegner also volunteers as an ambassador for proTechnicale, the technical orientation and qualification year for young women.
Hamburg News: What do you do in the AI industry, and why is that important?
Dr.-Ing. Susan Wegner: My job is to make AI tangible and usable for everyone. AI systems already help and relieve people with everyday tasks and that allows us to use our valuable time more efficiently. I explore use cases where AI can help us with tasks and actions thereby making our routines and lives more efficient and effective. Humanity can evolve significantly with the support of AI, not only in terms of positive financial impact for businesses, but also as a community and society.
Continue reading: https://www.hamburg-news.hamburg/en/innovation-science/gender-diversity-crucial-artificial-intelligence-sector

The COVID-19 crisis led to fundamental changes in how we conduct business. The big question today is whether these innovations will be sustained and built upon after the crisis.
How can leaders incorporate pandemic-induced innovations to augment and strengthen their core business models? How can companies tackle internal resistance and build a future-ready business around artificial intelligence (AI)?
I spoke to Professor Vijay Govindarajan, a renowned authority in strategy and innovation and a distinguished professor at the Tuck School of Business at Dartmouth College. He shares insights from his recent book, The Three-Box Solution, and we discuss how leaders can build an AI-powered organization.
Where most digital transformations go wrong
I was always fascinated when I used to drive by McDonald's,” says Govindarajan. “They used to have a sign which said ‘5 million burgers sold’ or ‘1 billion burgers sold.’ Tracking the burgers you produce and sell is a typical industrial era way of keeping score,” he adds.
In contrast, digital companies do not keep score that way: they want to know who is eating the burger. By learning more about the person buying their burger, they can solve more of the customer’s problems.
Continue reading: https://www.forbes.com/sites/ganeskesari/2021/10/26/the-3-steps-to-building-an-ai-powered-organization/?sh=5703fa747a26

It might be time to let the computers take over.
That is, let them take over the parts of the recruiting process that just aren't working. In a labor shortage, artificial intelligence may be a useful tool for businesses that need to fill open positions, fast, in part by opening the recruiting net wider. Admittedly, A.I. technology has known pitfalls. In 2018, for instance, Amazon made headlines when its A.I.-powered hiring algorithm was revealed to prioritize male candidates. But, as the technology has evolved, new companies have found ways that A.I. can actually improve diversity and inclusion in hiring, all the while getting candidates in the door faster than manual methods.
The key: A.I. is not meant to fully automate the hiring process, and most companies that use it stress the importance of pairing high tech with a more human interview process. When used strategically, A.I. recruiting tools have the potential to make hiring less of a pain point--and these companies may help you more quickly fill your open roles.
Eightfold AI
Best for: People actively searching for jobs
Most businesses that are currently unable to fill posts say their problem is that they can't find candidates who have the appropriate skills and experience. The skills mismatch is an issue that Mountain View, California-based A.I. company Eightfold AI aims to solve. "With our underlying global data set, we are able to determine who is capable of doing the job, not just who has already done the job," says president Kamal Ahluwalia. 
Continue reading: https://www.inc.com/rebecca-deczynski/artificial-intelligence-hiring-companies-labor-shortage-great-resignation.html

As the sophistication of artificial intelligence and intelligent algorithm technologies has increased, they now have the potential to revolutionize traditional banking models and deliver a shift to digital banking which is faster, more agile, and more customer centric. 
AI has the potential to transform all aspects of banking – from the way we save to the way we invest and spend – making possible a model of banking that is smarter, faster and more customer friendly. 
Artificial intelligence (AI) is one the modern world’s most rapidly advancing technologies. Analysts predict that global investment in AI is set to hit $98 billion by 2023. In the financial services sector, we are seeing the huge impact AI and intelligent algorithms can have on the way we live and work.
First, let’s define what is meant by AI. There are many forms to choose from, but here we consider four main types: voice and facial recognition; natural language processing; machine learning; and deep learning. These can be applied through various iterations, including chatbots, document analyzing, automating processes, or predictive analysis.
Continue reading: https://internationalbanker.com/technology/artificial-intelligence-the-new-power-in-digital-banking/

AI offers additional possibilities, greater accuracy for climate models.
Computer simulations that scientists use to understand the evolution of the Earth’s climate offer a wealth of information to public officials and corporations planning for the future. However, climate models — no matter how complex or computationally intensive — do contain some degree of uncertainty. Addressing this uncertainty is proving increasingly important as decision makers are asking more complex questions and looking to smaller scales.
To improve climate simulations, scientists are looking to the potential of artificial intelligence (AI). AI has offered profound insights in fields from materials science to manufacturing, and climate researchers are excited to explore how AI can be used to revolutionize how the Earth system, and especially its water cycle, can be simulated in order to dramatically improve our understanding and representation of the real world.  In particular, AI offers the potential to dramatically increase the accuracy of predictions down to the scales of interest to scientists, and even stakeholders focused on designing, financing and deploying equitable climate solutions to America’s most disadvantaged communities.
Continue reading: https://www.eurekalert.org/news-releases/932591

As artificial intelligence (AI) programs become more powerful and more common, organizations that use them are feeling pressure to implement ethical practices in the development of AI software. The question is whether ethical AI will become a real priority, or whether organizations will come to view these important practices as another barrier standing in the way of fast development and deployment.
A cautionary tale could be the EU General Data Protection Regulation (GDPR). Enacted with good intentions and hailed as a major step toward better, more consistent privacy protections, GDPR soon became something of an albatross for organizations trying to adhere it. The GDPR and other privacy regulations that followed were often seen as just adding more work that kept them from focusing on projects that really mattered. Organizations that attempt to solve for each new regulation in a silo end up adding significant overhead and making themselves vulnerable to competition in form of agility and cost effectiveness.
Could an emphasis on ethics in AI go the same route? Or should organizations realize the risks—as well as their responsibilities—in putting powerful AI applications into use without addressing ethical concerns? Or is there another way to deal with yet another area of quality without the excessive burden?
Continue reading: https://www.helpnetsecurity.com/2021/10/26/ethics-in-ai/

Artificial intelligence (AI) is shedding light on one of the most examined yet least understood experiences of modern life: the customer journey. From shopping malls and sports arenas, to train stations and city streets, C2RO is an AI-powered video analytics platform that captures anonymized data about people’s movement so organizations can improve the customer experience.
“We analyze human behavior in physical spaces, and transfer it into actionable data,” said Tim Heaney, vice president of sales at C2RO. “With a fact-based understanding of the amount of people coming into a space, how they move through it with whom, where they linger, and what they touch and eventually purchase, organizations can manage physical environments more efficiently to improve the customer experience and business results.”
Real-time data eases commuter experience
A transportation organization used data from C2RO to improve subway train and bus terminal planning.
“Based on the number of people boarding and leaving trains at certain times and days, as well as which direction they’re headed at terminals, transportation managers could alleviate traffic crunches,” said Heaney. “They could reverse escalator directions to help people more easily exit or enter terminals. Aligning vehicle dispatches to actual passenger traffic flows reduced wasted trips. It also means fewer people waiting in the cold or forced to stand in crowded cars and buses.”
Continue reading: https://www.forbes.com/sites/sap/2021/10/26/can-artificial-intelligence-take-the-guesswork-out-of-the-customer-journey/?sh=6eb3c75b4cb2

Here are 6 Women Youtubers You Need to Watch Today
Today, women are trying to change the narrative. They’re subverting traditional beliefs around roles, behaviors, and skills. A large number of women are breaking free from the patriarchal values of society to excel in dominant fields such as science, technology, education, and business. As a result of leading cable companies like Spectrum TV, there’s greater access to information today.
Therefore, people are more aware of issues related to gender imbalances, glass ceilings, and gender inequality. However, the world still has a long way to go in terms of equality. But social media is providing a space for women to help bridge the gap between women and technology. Here are the top 10 women tech YouTubers to look out for.
iJustine
IJustine is one of the most widely watched tech Youtubers out there. She is changing popular beliefs and ideas regarding women in technology. Despite greater access to information and technology, women’s opinions on technology are still disregarded are considered inferior to those of men. However, iJustine is working hard to gradually challenge this notion. Justine Ezarik, the individual who runs this channel, uploads fascinating analyses of technology-related subjects. She gained popularity in 2007 when she reviewed a lengthy iPhone bill from AT&T. Apart from this, Justine also makes other videos related to cooking. The content she uploads is candid, light, and entertaining.
Continue reading: https://www.techzimo.com/women-in-technology-top-6-female-youtubers/

As a part of Brillio, a digital technology and big analytics company, since its inception, Sandhya Balakrishnan has been at the forefront of helping customers accelerate their digital transformation journey by adopting AI/ML, big data, and business analytics. 
As Senior Director, Data Analytics and Engineering, Sandhya's expertise lie in creating a roadmap for digital solutions and data/AI products for sales, marketing, finance, and supply chain functions enabling quick and agile monetization of enterprise data. She has handled a complex and diverse business portfolio across multiple customers and regions with P&L and people management responsibilities.
 She is involved with the company's WoW (With Our Women) Program to promote gender equality. She has a degree in electrical engineering from the College of Engineering, Thiruvananthapuram, and has completed a post-graduate program in business management operations from the Indian School of Business.
She is also a trained classical dancer and believes “it has shaped many of my foundational characteristics or approaches to anything I commit to”.
In a conversation with HerStory, Sandhya traces her journey in tech and talks about her biggest successes, challenges, and inspirations.
Continue reading: https://yourstory.com/herstory/2021/10/women-tech-data-analytics-digital-solutions-brillio/amp

Before we dive into what questions lead to IoT success, consider this thought and let it sink in:
Most IoT projects fail, and they are perceived as a waste of time and money.
For someone like me whose job is to bring IoT projects to life, this stings. It puts us on the defensive for a good reason. From our perspective, it simply isn’t true.
Yet the sentiments above are essentially the key takeaway from a steady drumbeat of news and cited surveys conducted by national consultancies who are quick to share with readers that 75 percent of IoT projects aren’t successful and that 30 percent of IoT projects fail in the proof-of-concept stage. What is a company to believe – let alone do?  
IoT success rate can be attributed to employing a human-centered design (HCD) process to set strategies and keep teams focused on what’s valuable to the people you are trying to serve. 
The framework isn’t complicated:

• Identify the stakeholders
• Crawl into their worlds
• Find their pain points
• Use data to make the pain go away

It is that simple. But the process requires discipline and focus. It is messy and time-consuming. You will want to cut corners. Don’t do it.  
Here are six questions that are critical throughout the IoT project lifecycle. If you can’t immediately answer these questions positively, you may be off track wasting time and money. 
Continue reading: https://www.iotforall.com/6-questions-to-ask-to-drive-and-realize-iot-success