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The Edge: What Does It Mean For AI (Artificial Ingelligence)?

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Edge computing technology with distributed network performing computation and data storage near the … [+] user instead of in the cloud, internet service for IoT, gamelets and AI recognition, concept
The edge is an end point where data is generated through some type of interface, device or sensor. Keep in mind that the technology is nothing new. But in light of the rapid innovations in a myriad of categories, the edge has become a major growth business. 
“The edge brings the intelligence as close as possible to the data source and the point of action,” said Teresa Tung, who is the Managing Director at Accenture Labs. “This is important because while centralized cloud computing makes it easier and cheaper to process data at scale, there are times when it doesn’t make sense to send data off to the cloud for processing.”
This is definitely critical for AI. The fact is that consumers and businesses want super-fast performance with their applications. 
“Currently AI training produces vast volumes of data that are almost exclusively implemented and stored in the cloud,” said Flavio Bonomi, who is the board advisor to Lynx Software. “But by placing compute at the edge, this allows for looking at patterns locally. We believe this can evolve the training models to become simpler and more effective.”

The edge may even allow for improved privacy with AI models. “Having federated learning means that no end-user data is centralized or communicated between nodes,” said Sean Leach, who is the Chief Product Architect at Fastly.
What Can Be Done At The Edge
The most notable use case for the edge and AI is the self-driving car. The complexities are mind boggling, which is why the development of this technology has taken so long.


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But of course, there are many other use cases that span a myriad of industries. Just look at manufacturing.  “In monitoring manufacturing processes where seconds or minutes could mean millions of dollars in losses, for example, machine learning models embedded in sensors and devices where the data is being collected enables operators to preemptively mitigate serious production issues and optimize performance,” said Santiago Giraldo, who is the Senior Product Marketing Manager of Machine Learning at Cloudera.
Here are some other examples:
Chris Bergey, the Senior Vice President and General Manager of Infrastructure Line of Business at Arm: “AI and the edge can explore the impacts of urbanization and climate change with software-defined sensor networks, pinpoint the origins of power outages in smart grids with data provenance, or enhance public safety initiatives through data streaming.”
Adam Burns, the Vice President of IoT and the Director of Edge Inference Products at Intel: “CORaiL, which was a project with Accenture and the Sulubaaï Environmental Foundation, can analyze coral reef resiliency using smart cameras and video analytics powered by Intel Movidius VPUs, Intel FPGAs and CPUs, and the OpenVINO toolkit.”
Jason Shepherd, the Vice President of Ecosystems at ZEDEDA: “TinyML will enable AI in more appliances, connected products, healthcare wearables, etc., for fixed functions triggered locally by simple voice and gesture commands, common sounds (a baby crying, water running, a gunshot), location and orientation, environmental conditions, vital signs, and so on.”
Michael Berthold, the CEO and cofounder at KNIME: “In the future, we will also see models that update themselves and potentially recruit new data points on purpose for retraining.”
Ari Weil, who is the Global Vice President of Product and Industry Marketing at Akamai: “Consider medical devices like pacemakers or heart rate monitors in hospitals. If they signal distress or some condition that requires immediate attention, AI processing on or near the device will mean the difference between life and death.”
But successfully bringing AI to the edge will face challenges and likely take years to get to critical mass.  “The edge has relatively lower resource capabilities in comparison to data centers, and edge deployments will require lightweight solutions focused on security and supporting low latency applications,” said Brons Larson, who is a PhD and the AI Strategy Lead at Dell Technologies.
There will also need to be heavy investments in infrastructure and the retooling of existing technologies. “For NetApp, this is a large opportunity but one that we have to re-invent our storage to support,” said Ross Ackerman, who is the Head Of Customer Experience and Active IQ Data Science at NetApp. “A lot of the typical ONTAP value prop is lost at the edge because clones and snapshots have less value. The data at the edge is mostly ephemeral, needing only a short time to be used in making a recommendation.”
Then there are the cybersecurity risks. In fact, they could become more dangerous then typical threats because of the impact on the physical world. 
“As the edge is being used with applications and workflows, there is not always consistent security in place to provide centralized visibility,” said Derek Manky, who is the Chief of Security Insights and Global Threat Alliances at Fortinet’s FortiGuard Labs. “Centralized visibility and unified controls are sometimes being sacrificed in favor of performance and agility.”
Given the issues with the edge and AI, there needs to be a focus on building quality systems but also rethinking conventional approaches. Here are some recommendations:
Prasad Alluri, the Vice President of Corporate Strategy at Micron: “The increase in AI also means that its increasingly important that edge computing is near 5G base stations. So soon, in every base station, every tower might have compute and storage nodes in it.”
Debu Chatterjee, the Senior Director of AI Platform Engineering at ServiceNow: “There will need to be newer chips with tensor capabilities seen in GPUs or their alternative, or specialized with specific inference models burnt into FPGAs. A hardware/software combo will be required to provide a zero-trust security model at the edge.”
Abhinav Joshi, the Global Product Marketing Leader at OpenShift Kubernetes Platform at Red Hat: “Many of these challenges can be successfully addressed at the start by approaching the project with a focus on an end-to-end solution architecture built on the foundation of containers, Kubernetes, and DevOps best practices.”
Although, when it comes to AI and the edge, the best strategy is probably to start with the low-hanging fruit. This should help avoid failed projects.
“Enterprises should begin by applying AI to smaller, non-mission critical applications,” said Bob Friday, who is the Chief Technology Officer at Mist Systems, which is a Juniper Networks company. “By paying close attention to details such as finding the right edge location and operational cloud stack, it can make operations easier to manage.”
But regardless of the approach, the future does look promising for the edge.  And AI efforts really need to consider the potential use cases to get its full value.
Tom (@ttaulli) is an advisor/board member to startups and the author of Artificial Intelligence Basics: A Non-Technical Introduction, The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems and Implementing AI Systems: Transform Your Business in 6 Steps. He also has developed various online courses, such as for the COBOL and Python programming languages.

Thrive During the Pandemic with Helpful Tips from Upcoming Webinar

You still have a few days to register for what may be the most important webinar you’ll attend in 2021.
If things have gone sideways trying to run your small business through this COVID emergency, you’ll want to be there for “The Sh*t’s Hit the Fan – NOW WHAT? 99 Recession Proof Tips for Small Business” where you’ll learn specific steps to take to navigate this “new economy” and get your company through the pandemic.
Join author Rhonda Abrams and Small Business Trends publisher Anita Campbell this Thursday and come out of it with tips to not only survive this economy, but also thrive in it. Register for the webinar following the link below.
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And if you can’t make it, check out some of the other small business events coming up later this year in our weekly events roundup.

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Cofepris approved phase 3 of the German CureVac vaccine in Mexico

The Secretary of Foreign Affairs, Marcelo Ebrard, reported that phase 3 of the CureVac vaccine against coronavirus was authorized by the Federal Commission for Protection against Sanitary Risks (Cofepris).
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January 9, 2021 2 min read

This article was translated from our Spanish edition using AI technologies. Errors may exist due to this process.

This story originally appeared on Alto Nivel
CureVac is a biopharmaceutical company of German origin, Cofepris has already approved phase 3 tests for these doses.
Through his Twitter account, the Foreign Secretary announced that the federal agency of the Government of Mexico endorsed the final testing stage, phase 3 for the antidote to CureVac.
Image: @m_ebrard via Twitter
Similarly, the president expressed his gratitude on behalf of the Government of the Republic for the support of TecSalud , especially Dr. Guillermo Torre , to bring phase 3 of the vaccine developed by CUREVAC in Germany to Mexico .
Image: @m_ebrard via Twitter
What is known about the CureVac vaccine?
CureVac is a German biopharmaceutical company, according to information from the company that developed the vaccine , “thanks to the technology that we have generated mRNA , we can give the body the necessary information to fight and cure diseases . Driven by our passion, we want to use our technology to help patients and prolong people’s lives . ”
That said, it is based on messenger mRNA, as is the case with Pfizer and BioNTech .
It is worth mentioning that Bayer and CureVac are in collaboration in the development of the coronavirus vaccine. Both companies have an agreement to support the production and commercialization of a messenger RNA vaccine to “facilitate the supply.”
Image: @CureVacRNA
In case you are interested: SRE: AstraZeneca Vaccine will arrive in Mexico on January 18

3 Reasons Companies Need Intrapreneurship

December 26, 2020 4 min read
Opinions expressed by Entrepreneur contributors are their own.
Most of us are familiar with the concept of being an entrepreneur. It can be a challenging path, and understandably, not everyone wants to take on that responsibility. But what if we could encourage that entrepreneurial spirit in our employees? The situation is potentially win-win – for the employee and for the company.
Intrapreneurship is the system wherein the principles of entrepreneurship are practiced within the boundaries of a firm. An intrapreneur is a person who takes on the responsibility to innovate new ideas, products and processes or any new invention within the organization.
Here are three reasons why intrapreneurship is important to long-term business success.
Related Links: Big Companies the Embrace Intrapreneurship Will Thrive
1. Employee engagement
In Gallup’s 2016 Meta-Analysis Report, the results showed that employee engagement consistently affects key performance outcomes like company profitability, regardless of the company’s industry.
Jim Harter, Ph.D., Gallup’s chief scientist of employee engagement and wellbeing, says “Employee engagement continues to be an important predictor of company performance even in a tough economy. When you ask people about their intentions during a recession, it’s pretty clear that disengaged workers are just waiting around to see what happens. Engaged workers, though, have bought into what the organization is about and are trying to make a difference. This is why they’re usually the most productive workers.”
And how do we create engagement?
Intrapreneurship can be an effective strategy to keep millennials engaged at work.
If an intrapreneur sees that their idea is valued by their organization, it leads to a feeling that they can make a positive impact on the company’s future, ultimately heightening motivation. If you then, also, implement a system that rewards innovation, you have employees that are incentivized.
Related Links: Here is How Companies Can Promote Intrapreneurship
Continuous idea flow to remain competitive
If only a few people within an organization, such as the senior leaders and C-Suite, are able to come up with ideas and implement them, this severely limits the potential for innovation that a company has. In many cases, senior leadership is far removed from the end user and their wants and needs.
Intrapreneurship draws on a larger pool of ideas consistently. Innovation, rather than being a process that happens one to two times per year, needs to be a way of life in order to really reap the rewards.
Take Google for example. Its intrapreneurial successes have included: Gmail, Google News, AdSense, driverless cars and Google Glass.
In order to make it work, a focused approach to innovation needs to be taken. There needs to be a system in place to assess the ideas, and budget and time allocated to employees developing them and proving “proof of concept.” 
Related Links: 4 Ways to Build a Culture that Supports a Future-Proof Business
Crucial to long-term sustainability
According to Deloitte, 88% of Fortune 500 companies in 1955 are no longer present in 2015. To understand what needs to happen to make sure you are around in five to 10 years as a company, you can draw inspiration from highly innovative companies and observe what they are doing.
Do you remember the search engine, Ask Jeeves? I do, just about. You cannot find it anymore. Google might not have been the first search engine, but it has certainly stood the test of time.  
Companies often learn the hard way about the importance of this. Complacency or staying in your comfort zone is not something any business can afford these days. The behemoth, Blockbuster, is a good example of what happens if we don’t foresee trends. This is even more important nowadays as technology exponentially increases the pace of change.
It is time that companies really asked themselves the question of what they are doing to encourage intrapreneurship. And more importantly, what is the lost opportunity cost of not encouraging it?

How 2020 Became the Year of DeFi and What's to Come in 2021

January 9, 2021 7 min read
Opinions expressed by Entrepreneur contributors are their own.
For the blockchain sector, 2020 was the year of decentralized finance. While the rest of the world was gripped by fears of Covid, blockchain caught the bug of decentralized finance, with crypto enthusiasts feverishly “fomo-ing” on lending protocols, borrowing stablecoins and mining liquidity. DeFi, for short, dominated the conversation for the greater part of the year, building momentum in February as the Total Volume Locked (TVL) in the sector first surpassed $1 billion. The figure, which represents the dollar value of assets locked in DeFi protocols, closed out the year above $13 billion, demonstrating 2,000% growth since January.
The TVL is just one indicator that DeFi had a landmark year. Looking back at some of the big trends of 2020 offers clues as to what comes next and what trends may dominate blockchain in 2021.
Related: Decentralized Finance Is on the Rise. What You Need to Know in 2021.
The role of Ethereum
The Ethereum network must be part of any conversation about DeFi. Ethereum supported the DeFi sector almost single-handedly in 2020, with the cracks showing for much of it. Transaction times slowed considerably, while average fees rocketed from a few cents at the start of the year to well above $12 in September. Scalability has often been the bane of blockchain and in DeFi, it seems to have found the perfect storm. The idea that DeFi is for everyone strains credulity when simply moving tokens around costs anywhere from $5 to over $30.
For this reason, cross-chain technology will be amongst the biggest stories of 2021. Cross-chain technology allows assets from one blockchain to be represented on another, and for the burden of the DeFi sector to be more evenly spread across many chains. Matic is among the many projects which have been working on a sidechain for Ethereum, while others have been looking at more broad-ranging solutions.
Cosmos and Polkadot are both attempting to create a network of independent but interoperable blockchains like Kava. Polkadot was recently dubbed “the Ethereum blockchain killer” in a piece by Bloomberg. While developer interest in Bitcoin and Ethereum has declined, in the 12 months ending in May, Polkadot’s “next-generation network” witnessed a 44% rise in active developers. With over 250 projects now building on Polkadot, it adds further weight to the idea that cross-chain interoperability has a bright future ahead of it.
DeFi’s biggest craze
Without a doubt, the biggest craze to grip blockchain in 2020 was liquidity mining. Liquidity mining, also known as yield farming, is an incentivization scheme that encourages crypto asset holders to lock their tokens in decentralized networks. This effectively bootstraps the protocol, providing the necessary liquidity required for it to function. 
Liquidity mining became big news in June when lending platform Compound launched its COMP governance token. Lenders and borrowers on Compound became eligible for daily distribution of COMP tokens, and as the price of these tokens increased, so did the rewards. Compound successfully created a token economic model that handsomely rewarded lenders and even made it possible to profit from borrowing. This was soon replicated across the DeFi sector, with Balancer joining Compound among the big players in this area.
Yield farming quickly gained such rapid popularity and momentum that it looked like a bubble was rapidly forming. Not everyone who rushed in to farm those sweet yields and outsized returns found themselves in profit, as failing to read the small print led to less than desirable results. While liquidity mining never quite boiled over and the bubble never popped, it didn’t make winners of everyone who participated. Next year, expect to witness more automated yield farmers, such as Yfarmer and Yearn.Finance. Both attempt to demystify the market and make it simpler for entry-level players to participate.
Related: Here’s How Decentralized Finance Is Being Redefined
Bring it together
Even as the concept of decentralized finance takes hold, one of the big trends in 2021 will be solutions that attempt to bring everything under one banner. This aggregation will allow multiple decentralized protocols to be controlled from one dashboard, with the promise of improving the user experience dramatically. Plasma.Finance is among the companies attempting to further this vision, combining their DeFi aggregator in Plasma.Finance with banking services under their PlasmaPay banner.
Entrepreneur asked Ilia Maksimenka, the CEO of Plasma, whether DeFi is in a position to compete with the traditional banking sector in 2021. “When we look at the services DeFi can offer, we already have solutions that in many cases are just as good as, or even better than, traditional banking,” Maksimenka said. “DeFi is highly competitive, but the user experience is often too complex or lacking in some other regard. That’s something we need to work on as an industry if we really want to boost adoption.”
In terms of direct competition, he added, “it’s more likely that the lines between centralized finance and decentralized finance will gradually begin to blur. Our understanding of finance in the future will be quite different from what it is to today.”
One of the areas that Maksimenka sees great potential in for DeFi is for businesses to better manage their money. Whereas unspent capital is wasted in the low-interest accounts in the traditional banking sector, staking rewards, lending protocols and liquidity mining offer the opportunity for small businesses to better manage their cash flow.
When asked to elaborate on business banking, he said “there are a number of obvious ways that DeFi can improve the business banking experience. Defi should not only prove to be faster and cheaper than traditional banking but at the same time it will open up new possibilities for improved treasury management. Liquidity mining is one way that businesses could put their unused capital to greater use. Lending is another. These options give businesses, even small operators, a much higher return on their capital reserves. It actually turns traditional banking logic on its head somewhat, where unspent capital is often viewed as a negative. With DeFi we can say, ‘Don’t worry about it, just put it into this protocol or lending pool and earn a high APY on it.'”
Related: Facebook Will Launch Its Digital Currency Libra in January
Stablecoins too
Another area within DeFi having a marquee year was the stablecoin market. The supply of stablecoins has now moved beyond $26 billion, with $20 billion in stablecoins being added to the market over the course of the year. Tether USDT is still the major player in the market with around 79% market dominance, and with Circle USDC being one of the other major figures, the U.S. dollar still reigns supreme in the stablecoin market. As the sector matures and with the macroeconomic effects of government stimulus packages still to be felt, it may be that other fiat-pegged stablecoins begin to eat into that market share.
Looking back on 2020, it is clear that decentralized finance has had a great year. It was the year DeFi firmly announced itself to the wider blockchain community and began to make its presence felt. 2021 could prove to be greater still for the nascent sector, and as the price of Bitcoin surges past $23,000, there are plenty of reasons for DeFi and crypto enthusiasts everywhere to look ahead with a sense of excitement and optimism.

When Should You Not Invest in AI?

January 9, 2021 6 min read
Opinions expressed by Entrepreneur contributors are their own.
A study was conducted on the business adoption of Artificial Intelligence (AI) in the 1980s. Published in the MIS Quarterly, the study found that enterprises were rushing to invest in AI, and the projected market value was $4 billion.
However, the results were shocking.
The study found that over a five year period, just 33% of AI solutions delivered business value, while the rest were abandoned. Many popular applications of AI were proven to be pure hype and several companies became disillusioned with AI.
Today, the same story is repeating all over again.
Despite decades of progress in AI research and many recent breakthroughs, enterprises continue to struggle with adopting the technology. A survey by McKinsey found that only 8% of firms had practices that enabled them to adopt and scale AI.
AI has exceptional capabilities but it is not a fit for every situation. Here are five situations where it does not pay to invest in AI.
Related: What You’re Buying Is Not Artificial Intelligence: How To Tell Fact From Fiction
1. When simpler solutions will get the job done
A majority of business problems can be solved by simple analysis. Even among organizations that use machine learning today, simple regression-based techniques are the most popular. Only a fraction of businesses really need AI. With AI capability getting democratized, it can be tempting to use it for every business problem. But, why use a cannon to swat a fly?
The $1 Million Netflix Prize was a global challenge to improve the accuracy of the Netflix movie recommendation engine by 10%. Netflix found a winner from over 50,000 global teams. They paid them the money, but never used their algorithm! Instead, they deployed a lower-ranked submission. Despite lower accuracy, this simpler solution had lower engineering costs and was more suitable for real-world use.
2. When you don’t have enough data
Analytics techniques need data to discover actionable insights. The more powerful a technique is, the higher the volume of data it needs. AI has a huge data appetite and it needs hundreds of thousands of data points for basic tasks such as detecting pictures. This data must be cleaned and prepared in a specific format to teach AI. Unfortunately, a high volume of quality, labeled data is not a luxury that every organization can afford.
For example, AI can predict your sales for the next 4 weeks. But only if you have many months of granular, historical data. If all you have is the last few weeks’ data, AI will not be able to help. So instead, use a simple forecasting technique like extrapolation. With just a few data points, it can give you credible insights to base your business decisions.
3. Where AI is still in experimentation
We are seeing spectacular advances in AI research every single day. Today, AI can generate pictures from your captions, or control a swarm of drones. However, there is a big difference between doing stuff in carefully controlled scenarios, and performing tasks in the real world. Many of AI’s impressive achievements are still in the experimental stages.
In 2013, the MD Anderson Cancer Center made a bold move to deploy IBM Watson’s AI to aid its clinicians in cancer diagnostics. After burning over $62 million over the next few years in trying to make it work in practical scenarios, the system was finally retired. Today, AI has gotten even better at detecting cancer but has yet to see mainstream adoption. While it is good to experiment with AI, you must know where it is ready for primetime.
Related: How AI Solutions Are Solving 5 Long-Standing Business Challenges
4. When the costs outweigh the benefits
Today, there are areas where AI can do the job well. However, the total cost of ownership is so high that it may not be economically viable yet. When organizations think about AI, they often plan just for the implementation costs. These are just the proverbial tip of the iceberg. It takes a lot more investment to make AI work for you.
For example, if you’re building an AI-driven customer experience platform, you must collect new data that captures deeper customer signals. You must manually label the data to train the AI, even before you spend on software platforms, high-grade hardware, and analytics teams. Additionally, you must train end-users on data literacy, tailor your business workflows, and set aside a budget for ongoing change management.
To scale AI, you must budget as much for adoption as you spend on implementation. But, the big question is whether happier customers will earn you enough incremental revenue to cover all these costs of AI. Do this math upfront before you take the plunge.
5. Where you need understanding and empathy
Let’s say your business problem doesn’t fall into the above four scenarios. AI might still not be right for you if your users need understanding and care. AI is pretty good at pattern spotting and it can uncover deeper trends that humans have no chance of detecting. However, AI doesn’t understand a thing. Nor can it create an emotional connection with human users.
We saw how AI is breaking grounds in cancer research. It is beating diagnoses made by expert doctors. However, do you think patients are ready to hear about their cancer diagnosis from machines? Emotional intelligence and empathy are deeply human skills. How critical are these for your solution? Thinking about this question will help you decide whether you really need AI, and will show you the high level of human involvement needed, even if you deploy AI.
How not to put the cart before the horse
We’ve looked at the shortfalls of AI and situations where it can be a terrible fit. To place this in perspective, you must view AI as yet another tool in your analytics toolkit, albeit a powerful one.
How do you figure out if AI is the right fit for your needs?
Start with your business needs. Figure out ways in which technology and data can address the challenges. Frame the best solution to approach your business problem. Evaluate all the tools at your disposal, starting with the simplest techniques. As you move up in complexity, balance the simplicity and effectiveness of outcomes. If you pick AI, ensure that you have the right data, the needed budget, and the appropriate level of human intervention to make it work.
Related: 4 Ways Artificial Intelligence Is Shaping the Future for Businesses Big And Small

Why Mindset Matters for Success

January 9, 2021 7 min read
Opinions expressed by Entrepreneur contributors are their own.
No one is born an entrepreneur.
But it also doesn’t happen by chance, instead they are driven to it. It’s all about having the compulsion to be a part of something that’s bigger than yourself and being willing to do whatever it takes to find that success. 
How “cut out” you are to be an entrepreneur depends on your perspective more than anything else.
In my experience, both as a business owner and a coach, I’ve collected a few common mantras via the very successful. The following viewpoints will help you to get into a frame of mind that will ultimately free you up to find your own success.
Related: 8 Mindset Shifts Entrepreneurs Must Make to Achieve Their Ultimate Goal
They know their “why”
It’s important to have a firm grasp on what’s driving your endeavors.
Your purpose, in many ways, is your foundation to success. So take the time to identify the reason behind what you’re doing: What motivated you to start your own business? What’s driving you? What’s your reason for getting up in the morning? Do you want to change the world? Generate an income? Both? 
For most, this isn’t strictly about money, but usually goes further. What do you want the money for? Is it freedom and the opportunities that it could buy you? Is it financial security for your family?
Is your why a passion to help others succeed? Is it using your skills to create something unique that people will love? Is it finding a way to generate 80k a year so you can afford a stress-free lifestyle? Whatever it is, grab onto it. Passion is what will ignite your dream. It will also give you the motivation to keep going when things get tough. 
They realize that ready is a lie
You’ll never be ready to be an entrepreneur—at least not completely ready, that is.You see it all the time: Budding business owners spinning their wheels. They’re ready to take off, but not quite able to. This is because they’re waiting for some ideal opportunity or unachievable level of perfection before they launch. 
But with this mindset, they’ll be waiting a very long time.
“Ready is a lie” explains Angie Lee, marketing expert, speaker and founder of The Angie Lee Show, a top-rated personal development podcast.
“You could have all the skills, all the training, you could have a double master’s in business, but if you’re afraid to start and you’re afraid to get messy and you’re afraid to jump, nothing is ever going to happen.”The journey is full of pitfalls, hurdles and setbacks. Don’t be fooled: You don’t have to have every aspect of your life squared away before you can start. Perfection, both in your personal life and in business, is a myth. In order to find success, you’ve got to transition out of the perfectionist mindset. Done is better than perfect. 
Likewise, when it comes to idea validation, the same concepts apply. We all know how crucial it is to validate an idea before we run with it, but just how much validation is enough?
“If you wait until you’re 100% sure, you’ve waited too long,” explains Jake Clarke, founder of For The Love of Craft Beer. “Getting comfortable with taking calculated and well-informed risks is critical to success.”
Related: Validate Your Business Idea — Quickly — With These 5 Steps
They’re outcome-oriented
How driven are you to succeed? 
CEOs are relentless in their pursuit of success. No matter what obstacles come up, they keep going. Sure, sometimes they’ll pivot from their original idea, and sometimes they’ll be knocked off their feet. But here’s what separates successful people from everyone else: They consistently get back up. 
This is because they’re outcome-oriented. Successful people have tremendous clarity on their goals. They’ve defined what they want to do, know what they’re looking for, and are able to pursue those opportunities with tremendous discipline. Because of this, they have the drive to see their tasks through no matter what.
They view impossibilities as opportunities
Next up, you’ll want to adopt a healthy view of failure. This is something I constantly see in Fortune 500 perennials.
“An entrepreneurial mindset means I now see opportunities where I only saw impossibilities, and I have faith that pursuing those opportunities will yield a win no matter what – even if that win is the lesson of failure,” explains Natalie Davison, marketer, speaker and co-founder of Marrow Marketing. “When you get there, you’ll see that fear can shift into possibility and that’s a really powerful place for your mind to live.”
Instead of seeing roadblocks as a sign that you’re not cut out to be an entrepreneur or an indicator that something’s wrong, just view them for what they are: Temporary setbacks along the way. We’ll all encounter them, but it’s how we respond to them that counts. Your ability to see beyond these roadblocks and navigate your way through them as a problem solver will help you to succeed.
They realize habits are everything
A large part of a business owner’s success can be directly attributed to their daily habits. 
Consistency is your currency. 
The more you show up, the more you push through the tough days, hard decisions, and the daily grind, the more resilient you will become. You need to take action to set big-picture goals, and then break those goals down into smaller, doable –and consistent steps that’ll help you to achieve them. 
This means getting into action mode to build your new habit, and finding a routine that works for you. Those consistent daily actions are what will move you forward every day. It doesn’t have to be massive changes all at once, but over time, good habits will start to shape you. 
Related: Four Ways to Build Better Habits
They understand their worth
Finally, but perhaps most crucially, successful people understand their worth. 
People view us through the lens that we view ourselves. That’s because of our perspective of ourselves colors our actions and interactions with others. If someone else can tell that you lack confidence in your abilities, then why on earth should they trust you?
The good news, though, is that self-confidence is something that you can build. Start by looking to banish that ever-present imposter syndrome; that nagging feeling that we’re inadequate or somehow unqualified. You can do this by identifying exactly what you bring to the table in terms of value, and highlighting those areas where you excel. What projects are you passionate about? Where do you add the most value? How do you stand out from the rest? Make these things a part of your identity. Specialize in them.From this confidence, you’ll be able to price yourself accordingly and promote yourself in a way that will make people value what you have to offer. If you’re confident in your abilities, it will inspire others to have confidence as well.

SRE: AstraZeneca vaccine will arrive in Mexico on January 18

In previous days, COFEPRIS approved the use of the AstraZeneca vaccine against the coronavirus, now it is scheduled to arrive in Mexican territory on January 18.
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January 9, 2021 1 min read

This article was translated from our Spanish edition using AI technologies. Errors may exist due to this process.

This story originally appeared on Alto Nivel
The AstraZeneca / University of Oxford vaccine against Covid-19 would arrive in Mexico on January 18, according to Efraín Guadarrama, director general of American Regional Organizations and Mechanisms, of the Ministry of Foreign Affairs (SER).
Through his Twitter account, Efraín Guadarrama published, “Last Monday, COFEPRIS approved the AstraZeneca vaccine. Today I had the pleasure of accompanying Dr. Hugo López Gatell to MAbxience to verify the progress of the active principle of the vaccine that will arrive in Mexico in 10 days ” .
“As President Andrés Manuel López Obrador promised on August 13, the vaccine will arrive in time to be applied in Mexico, ” he added.
He also highlighted that the delivery date was due to the cooperation of the members of the Community of Latin American and Caribbean States (Celac).
Image: @efrain_gp
In case you’re interested: AstraZeneca claims to have the ‘winning formula’ for its vaccine

How to Stand Out As a Leader in a Saturated Online Market

Three ways to stand out in the online market.
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January 9, 2021 4 min read
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Fit in, or stand out? Serve existing markets, or serve those in untapped markets? As the online marketplace becomes increasingly saturated for entrepreneurs, and the amount of information available to us online leaves us feeling increasingly overwhelmed, we reach a point where we have no choice but to pull back and reassess what is important to us.What is commonly referred to as the red or blue ocean strategy, business owners can create an offer so unique and differentiated that they can stand out in the market instead of drowning in a blood-stained red ocean. Here are 3 ways you can stand out in a saturated market online, more so from a humane level rather than a strategic level.
Realize what is true for you, not what is true for others
It is easy for people to follow the cookie-cutter strategies of how things have always been done. But as the world, society, and humans evolve, so does the way we do business.Many find this challenging because they lack a deep level of awareness and trust in themselves. They’re afraid that if they tapped into their own intuition and deep inner-knowing, it might not bring them the success they see everyone else achieving.Long-lasting and sustainable success in business comes from doing what feels good to you, every step of the way. While you can achieve success following other strategies, if it doesn’t feel good to you, it will leave you feeling uninspired and unfulfilled.
Related: Go WIth Your Gut: How To Use Your Intuition To Succeed In Business
Challenge the status quo of business
As humanity evolves into heightened levels of awareness and consciousness, we naturally begin to create a new paradigm of business.Challenging the status quo is not a common desire amongst leaders. According to Harvard Business Review, 72 percent of leaders say they rarely, or never or rarely challenge their status quo in business.Leading and serving from the inside out means we learn to know ourselves first and foremost. This can be a fulfilling journey of self-discovery for many, finding their own purpose and truth, which can become largely suppressed when we work in a typical traditional job that isn’t aligned with our highest desires. To challenge the status quo of business comes with making one fearless and courageous decision at a time.
Related: Is Your Status Quo Killing Your Business?
Find your “Zone of Genius”
Gay Hendricks identifies 4 different zones of genius in his book, The Big Leap.
In the “zone of genius,” we can zone in on and capitalize on our innate gifts and abilities that come naturally to us. In this zone, we become in flow and realize what we are uniquely gifted at, often finding ourselves skilled in a specific area more so than others. 
In Hendricks’ book, he prompts you to ask yourself what you do you do that doesn’t seem like work, and what brings you ultimate joy, satisfaction, and abundance at the same time.Related: 8 Reasons To Find Joy In Your Job
Ultimately, standing out in a saturated market online is about identifying what comes naturally to you and capitalizing on that unique gift and skill. We often attempt to do things that come naturally to other people, mimicking their steps and strategies while ignoring or denying our truest and inner-most skills and gifts. 
To live a whole and fulfilling life, we must enjoy what we do, including how we run our business on a day-to-day basis. By focusing on what feels good to you (and not others), we can ultimately achieve the levels of joy and freedom we are all seeking. 

Want to Lead a Tribe of Winners? Share Your Epic Fails!

December 30, 2020 6 min read
Opinions expressed by Entrepreneur contributors are their own.
Success obsession in our culture is undeniable. Napoleon Hill, the author of Think and Grow Rich, may have started the idea of learning from those who succeed in life and business and trying to replicate their strategy. His book became not only one of the founding pillars of the self-help industry, but a whole genre of journalism featuring hundreds of titles all based on a single idea that Hill suggested: to be successful, you need to learn from people who already are.
Statisticians, however, would not agree with this strategy. Contrary to popular belief, stories of your failures can teach your readers more than those of success. 
If you’ve been online at all in the last year, you know authenticity is the new buzz word on the ‘gram. We are starting to realize your online image can’t be just all glam and shine.
Urban Dictionary says authenticity is about keeping it real. We are slowly embracing the idea of sharing the failures as well as the wins. Research suggets people would like you more (literally) if you share failures as well as the wins. But it’s about much more than just being liked. If you are a leader on a mission to spread your message, help others to get on a fast lane from where they are to where they want to be. Learning about your fiascos on a similar path might be invaluable to them. Here’s how.
Following the winners is a logical error 
It was proven by a statistician Abraham Wald during World War II. A research group in Columbia University Wald was a part of was tasked to study the state of aircraft that have returned from a mission and analyze which part of the aircraft suffered the most damage. The group found that most aircraft that returned after a battle showed damage in the areas of wings, fuselage, and stabilizers. Scientists then assumed that those were the most vulnerable parts of the aircraft that needed straightening. 
Related: The Most Important Career Lessons Are the Ones You Learn From …
Wald managed to turn this idea around. He pointed out that the study was based on those aircraft that returned to the base and therefore survived the damages they suffered. He pointed out that “winners” displayed the areas that, if damaged, would not cause a crash. He assumed that aircrafts that did not return from a battle suffered greater damages — such as damage to the engine, fuel system, and the cockpit. Contrary to initial suggestions made by the group, Wald proposed reinforcements to be made to the areas which were undamaged in returning aircraft. 
The phenomenon is called the survivor bias and is applicable far wider than military defense. 
We want to know how industry titans made it to where they are today. Yet, their success means simply that they took all the right turns, and few wrong turns. All the wrong turns they took were not fatal. Unlike those who failed, they are unaware of deadly mistakes that would mean an end to the business. But when starting a business, you’d love to know what are the things that would end the venture, wouldn’t you?
True leadership lies in sharing the lessons of failure 
As a society, there is often this cutesy vibe happening as we try to bring authenticity into our public communication. Someone might tell you how they struggled, but only when it’s all far behind them, and only once they’ve found a new path to success — which you surely should follow right now. Now understanding survivorship bias, let me ask you this: What would be more educational for your readers? The time you succeeded or the time you lost a battle and sat down to analyze why? 
Related: Learning From Failure Is What Makes Entrepreneurs Better Leaders
I know myself that as an entrepreneur, there are multiple battles I’ve lost. There was the time when I put my hopes into a business coach only to get scammed. There was the time I lost a valuable team member due to my lack of experience in managing an online team. There was that time when the tax return was a disaster. 
While there is a lot of information available online on each of those topics, there is nothing like a personal story of someone who is just a couple of steps ahead of you, openly sharing their challenges as they happen. Not a few years after, when the solution is found and everything is perfect.
Reframing failures
If you are online to attract clients or promote your product, credibility is a crucial element of keeping the business afloat. Opening up about times when you were not at the top of your game might seem dangerous to a carefully built online image. In order to challenge this, we should switch from business narrative to science. 
Scientists operate on hypotheses — a statement that’s being tested and can be found at the beginning of every scientific study. Scientists then run some experiments to ascertain if the hypothesis is correct or not. The study is published regardless of whether the hypothesis was proven true or not. The scientific community recognizes the value of failed experiments. A hypothesis that was proven wrong by a particular study means that someone else does not have to spend time testing the same assumption and the whole community can move forward. 
Just think about that. A failure is seen as a step forward. 
The rules of interactions in the business community are somewhat different from those in the scientific community — maybe because success is often viewed as individual in entrepreneurship. Ar least, it used to be. Emerging leaders now see business as a means to their goal that can be sharing new knowledge, helping humanity to evolve, to take a step forward in our common evolution. As a new leader, you are in the game for pushing humanity forward to the next level of personal and collective consciousness evolution. 
Looking at failures this way, wouldn’t you feel compelled, and even responsible to share everything that did not work for you?
Related: 5 Lessons You Learn From Your Business Mistakes