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By Azeem Azhar

Azeem Azhar has been a journalist, podcaster, entrepreneur, and investor. For the last five years, he has been writing a popular newsletter called Exponential View and investing in technology start-ups.

Below, Azeem shares 5 key insights from his new book, The Exponential Age: How Accelerating Technology Is Transforming Business, Politics and Society. Listen to the audio version—read by Azeem himself—in the Next Big Idea App.

1. Key technologies are improving exponentially.

Starting in about 2015, I spent time exploring a number of different technologies and looking at how they were turning into products and services and ultimately into companies. During this research, I came to the conclusion that we are at a transition point across advanced economies, one that is being driven by a number of broadly applicable general technologies.

The first of these is computing, in which advances can be measured by the ever-marching power of our smartphones. In biology, we’re able to take the approaches and disciplines of engineering and apply them to the human genome. I also saw trends in energy where the cost to produce power from renewable sources, like solar and wind, is declining precipitously, and battery storage is also getting cheaper and cheaper. Finally, in manufacturing, new techniques like 3D printing and additive manufacturing are improving dramatically year after year, while also getting cheaper and better.

Now, the interesting point about these four technology areas is that they’re broadly applicable across our economies, but more than that, they are improving exponentially. And by that I mean they are improving by more than 10% on a price performance basis every single year, year after year, compounding those improvements. The impact of that is a tremendous reduction in the cost of these fantastic capabilities, and with that reduction in cost, we’re going to start to see a ubiquity of these approaches across our economies and societies more broadly.

“We are at a transition point across advanced economies, one that is being driven by a number of broadly applicable general technologies.”

2. Technologies have ripple effects across the whole of society.

My house in Northwest London is in a suburban part of the city, but in 1895, it sat in a field about 150 meters from a blacksmith’s shop. Today, that shop is my convenience store, where I supply the family for Saturday breakfasts. The fascinating thing is that the transition from farmland in 1895 to the houses and convenience stores of today took place in a really short period of time, about 25 years. During this brief period, roads were laid out, and electricity, water, and telephone systems were put in place. By 1925, my little suburban neighbourhood looked very much like it does today.

What had effected that change were three general purpose technologies: the car and its internal combustion engine, the telephone, and electricity. These three technologies, all developed and commercialized from the 1880s through the early part of the 20th century, had knock-on effects. They shaped the nature of our jobs. They shaped the nature of industry, of work, of labour laws, of the patterns and customs of our everyday life. By the 1920s and 1930s, you had many of the resemblances of modernity: large cities and skyscrapers and office jobs and factory employment and lifetime work.

That’s the impact of technologies on a society. They have second- and third-order effects that go beyond the industries from which they spring. And of course, society also shapes the technologies—it shapes the directions in which they go. That interplay—technology to society, society to technology—is an important insight when we think of what is happening today, as we transition to what I call the “exponential age,” a transition driven by the four technologies that are changing our economies today.

3. The current pace of change is hard for humans to understand.

We have many historical examples of people being uncomfortable with new technology. In the early 20th century, people were scared to get into elevators. Today, fuelled by technology, global supply chains, and venture capital, the pace of change has increased enormously, and it’s hard for us to keep up. First there was Facebook, and then suddenly there was Instagram, and then suddenly there was Snapchat, and suddenly there was TikTok, and soon there will be something else.

“We evolved to understand natural time scales, like the rising and setting of the Sun, and the changing of the seasons. The rapid acceleration of the technology-driven exponential age is alien to us.”

Humans didn’t evolve to understand this kind of exponential change. We evolved to understand natural time scales, like the rising and setting of the Sun, and the changing of the seasons. The rapid acceleration of the technology-driven exponential age is alien to us. We regularly misunderstand both the long-term and the short-term impact of this pace. Sometimes we over-estimate, sometimes we under-estimate, but it’s very unlikely that we’ll be able to predict exactly what happens next. And even if we can do so with some first-order effect, it’s hard to explain or predict where the ripples will end up.

4. There is an exponential gap between technologies and the linearity of our everyday lives.

In most well-functioning societies, we manage corporate behaviour through a variety of institutions, regulations, laws, and taxes. The challenge is that those institutions, whether formal or informal, tend to evolve at a linear rate, so they get out of step with the realities of exponential technologies.

I call that gap—between the accelerating upward curve of technology and the relatively flat curve of regulation—the exponential gap. The exponential gap underpins many of the tensions that we see between technology companies and society at large, whether it’s questions of market dominance, worker compensation, or the impacts on democracy itself. The exponential gap is a useful analytical tool for us to understand, diagnose, and ultimately fix these issues.

5. We can close the exponential gap if we understand what drives its creation.

Slowing down the pace of technical development seems to be impossible. I argue in my book that the reason these technologies develop as fast as they do is a function of having a modern complex economy where the engineers, entrepreneurs, and scientists learn from their experience and respond to signals in the market. So at one level, the pace of technological change seems to be almost set.

But there are things we can do because technologies are human artefacts, designed and created by people. By better understanding how technologies develop and progress, and how their second- and third-order effects impact society at large, we can actually start to direct this river of innovation into useful channels. As customers, consumers, and citizens, we need to ask the right questions in order to govern rapid technological change.

To listen to the audio version read by Azeem Azhar, download the Next Big Idea App today:

By Azeem Azhar

Sourced from Next Big Idea Club

 

By ADITYA KALRA in New Delhi and STEVE STECKLOW in London

A trove of internal Amazon documents reveals how the          e-commerce giant ran a systematic campaign of creating knockoff goods and manipulating search results to boost its own product lines in India – practices it has denied engaging in. And at least two top Amazon executives reviewed the strategy.

Amazon.com Inc has been repeatedly accused of knocking off products it sells on its website and of exploiting its vast trove of internal data to promote its own merchandise at the expense of other sellers. The company has denied the accusations.

But thousands of pages of internal Amazon documents examined by Reuters – including emails, strategy papers and business plans – show the company ran a systematic campaign of creating knockoffs and manipulating search results to boost its own product lines in India, one of the company’s largest growth markets.

The documents reveal how Amazon’s private-brands team in India secretly exploited internal data from Amazon.in to copy products sold by other companies, and then offered them on its platform. The employees also stoked sales of Amazon private-brand products by rigging Amazon’s search results so that the company’s products would appear, as one 2016 strategy report for India put it, “in the first 2 or three … search results” when customers were shopping on Amazon.in.

Among the victims of the strategy: a popular shirt brand in India, John Miller, which is owned by a company whose chief executive is Kishore Biyani, known as the country’s “retail king.” Amazon decided to “follow the measurements of” John Miller shirts down to the neck circumference and sleeve length, the document states.

The internal documents also show that Amazon employees studied proprietary data about other brands on Amazon.in, including detailed information about customer returns. The aim: to identify and target goods – described as “reference” or “benchmark” products – and “replicate” them. As part of that effort, the 2016 internal report laid out Amazon’s strategy for a brand the company originally created for the Indian market called “Solimo.” The Solimo strategy, it said, was simple: “use information from Amazon.in to develop products and then leverage the Amazon.in platform to market these products to our customers.”

The Solimo project in India has had international impact: Scores of Solimo-branded health and household products are now offered for sale on Amazon’s U.S. website, Amazon.com.

The 2016 document further shows that Amazon employees working on the company’s own products, known as private brands or private labels, planned to partner with the manufacturers of the products targeted for copying. That’s because they learned that these manufacturers employ “unique processes which impact the end quality of the product.”

The document, entitled “India Private Brands Program,” states: “It is difficult to develop this expertise across products and hence, to ensure that we are able to fully match quality with our reference product, we decided to only partner with the manufacturers of our reference product.” It termed such manufacturer expertise “Tribal Knowledge.”

This is the second in a series of stories based on internal Amazon documents that provide a rare, unvarnished look, in the company’s own words, into business practices that it has denied for years.

Amazon has been accused before by employees who worked on private-brand products of exploiting proprietary data from individual sellers to launch competing products and manipulating search results to increase sales of the company’s own goods.

In sworn testimony before the U.S. Congress in 2020, Amazon founder Jeff Bezos explained that the e-commerce giant prohibits its employees from using the data on individual sellers to help its private-label business. And, in 2019, another Amazon executive testified that the company does not use such data to create its own private-label products or alter its search results to favour them.

By ADITYA KALRA in New Delhi and STEVE STECKLOW in London

Sourced from Reuters

Artificial Intelligence (AI) mimics the cognitive functions of the human mind, particularly in learning and problem-solving. Many of the apps that we use today are powered by AI. From voice-activated virtual assistants to e-commerce, AI applications are everywhere.

With the advancements in AI technology and access to big data, companies across different industries are integrating AI into their processes to find solutions to complex business problems.

The application of AI is most noticeable within the retail and e-commerce space. Websites and apps can interact intelligently with customers, creating a personalized approach that enhances the customer experience.

No matter what industry your business operates in, these seven tips can help you acquire and retain customers more efficiently at a fraction of the time it takes to do things manually.

How to Use AI to Get and Keep Customers

1. Identify Gaps in Your Content Marketing Strategy

If you’re just starting with content marketing, you’ll need to know what type of content to create.

By using AI, you can identify the gaps, find fixes, and evaluate the performance of your content marketing campaign.

Take Packlane, a company that specializes in custom package designs, for example. They came up with high-quality content like helpful blog posts that provide valuable information. At the same time, the content they publish makes it easier for their target market to understand their brand and services.

If you’re in the retail or e-commerce space, you can use AI to identify the gaps in your content marketing. Your content may be focused on your products and their features, but through AI, you can determine the relevant content that addresses your audience’s needs and pain points.

2. Pre-Qualify Prospects and Leads

Not every visitor to your site will become a paying customer. If you’re not getting sales despite the massive traffic, it means you’re generating low-quality leads.

Some reasons why this happens includes:

  • Targeting the wrong audience
  • Poor content marketing strategy
  • Using the wrong type of signup form
  • Promoting in the wrong social media platforms
  • Ineffective calls to action

These explain why 80% of new leads never convert into sales. The mistakes can be rectified with the help of artificial intelligence.

AI tools can extract relevant data to help you learn more about your target audience. These tools also provide predictive analytics on your customers’ behaviour. They, in turn, help improve your lead generation strategy because you’ll know which leads to pursue, where to find them, and how to effectively engage them.

3. Provide Personal Recommendations

According to a report by the Harvard Business Review, even though there are privacy concerns when consumers’ personal information changes hands, people still value personalized marketing experiences.

Brands that tailor their recommendations based on consumer data boost their sales by 10% over brands that don’t.

Recommendation systems’ algorithms typically rely on data on browsing history, pages visited, and previous purchases. But AI is so advanced that it can analyse customers’ interactions with the site content and find relevant products that will interest the individual customer. This way, AI makes it easier to target potential customers and effectively puts the best products in front of the site visitors.

Because of AI, recommendation engines are able to filter and customize the product recommendations based on each customer’s preferences. It’s a cycle of collecting, storing, analysing, and filtering the available data until it matches the customers’ preferences.

This is an effective way of acquiring and retaining customers because there’s an element of personalization.

4. Reduce Cart Abandonment

A high cart abandonment rate is the bane of e-commerce business owners. According to a study by the Baymard Institute, online shopping cart abandonment rate is close to 70%.

Users abandon their online carts for various reasons:

  • high extra costs
  • complicated checkout process
  • privacy concerns
  • not enough payment methods, or
  • they’re not ready to buy yet.

Using AI-powered chatbots is one way to reduce cart abandonment. AI chatbots can guide the customers through their shopping journey.

AI chatbots can have a conversational approach and give the customer a nudge to prompt them to complete the purchase. These chatbots can also act as a virtual shopping assistant or concierge that can let a customer know about an on-the-spot discount, a time-sensitive deal, a free shipping coupon, or any other incentives that will encourage them to complete the checkout.

With AI, lost orders due to cart abandonment are recoverable and can lead to an increase in conversion rate for e-commerce businesses.

5. Increase Repurchases With Predictive Analytics

Predictive analytics is the process of making predictions based on historical data using data mining, statistical modelling, artificial intelligence, machine learning, and other techniques. It can generate insights, forecast trends, and predict behaviours based on past and current data.

In marketing, predictive analytics can be used to predict customers’ propensity to repurchase products as well as its frequency. When used to optimize marketing campaigns, AI-powered predictive analytics can generate customer response, increase repurchase, and promote cross-selling of relevant products.

It’s all part of the hyper personalized marketing approach, where brands interact and engage with customers and improve their experience by anticipating their needs and exceeding their expectations.

With predictive analytics, you can focus your marketing resources on customer retention and targeting a highly motivated segment of your market that are more than happy to return and repurchase your products. This approach is less expensive than advertising or implementing pay-per-click campaigns.

6. Improve Your Website User Experience

Every business—big or small—knows the importance of having a website, where visitors can interact with the brand, respond to a call to action, or purchase products. But it’s not enough to just have an online presence; it’s important that visitors to the site have a great experience while navigating through your site.

What makes for a great user experience? Users have different expectations. Some of them want faster loading time, while others want a simple and intuitive interface. But most important of all, they want to find what they’re looking for. It could be a product, content, or a solution to a problem. Whatever they may be, it’s up to you to meet their expectations.

With artificial intelligence, you can improve your website user experience tenfold. Here are some of the ways AI can be used to improve user experience.

Search relevance

This pertains to how accurate the search results are in relation to the search query.  The more relevant the results are, the better search experience the users will have. This means they are likely to find relevant content answering their queries or finding products that solve their problems.

Personalized recommendations

Content that is tailor-made for the user tends to have greater engagement which increases the likelihood of conversation. Amazon has perfected the product recommendation system using advanced AI and machine learning. AI gets data from customers and uses it to gain insights and apply predictive analysis to recommend relevant products for cross-selling opportunities.

AI chatbots

The presence of chatbots contributes to a great user experience because they provide 24/7 assistance and support in the absence of human customer service.  Users can get accurate answers to their inquiries quickly and efficiently, compared to scrolling through a text-based FAQs.

7. Social Listening for Potential Customers

Social listening is the process of analysing the conversations, trends, and buzz surrounding your brand across different social media platforms. It’s the next step to monitoring and tracking the social media mentions of your brand and products, hashtags, industry trends, as well as your competitors.

Social listening analyses what’s behind the metrics and the numbers. It determines the social media sentiment about your brand and everything that relates to it. It helps you understand how people feel about your brand. All the data and information you get through social listening can be used to guide you in your strategy to gain new customers.

Social media monitoring and listening can be done much more efficiently with the help of artificial intelligence. It’s an enormous task for a team of human beings to monitor and analyse data, but with AI-powered social media tools, all the tedious tasks can be automated. They can be trained to leverage data to provide valuable insights about your brand with high accuracy.

With AI and machine learning, your social listening can easily determine your audience, brand sentiments, shopping behaviour, and other important insights. By having this information within reach, you’ll know how you can connect with them more effectively and turn them from prospects to paying customers.

Key Takeaways/Conclusion

More companies across different industries are using the power of artificial intelligence and machine learning to significantly increase brand awareness, enhance customer engagement, improve user experience, and meet customer expectations.

  • AI can identify gaps in your content marketing strategy so that you can create content that’s relevant to your target audience.
  • AI can help you generate high-quality leads that are likely to buy your products.
  • With AI, you can personalize and tailor-fit your product recommendations based on your customers’ preferences, increasing repeat purchases.
  • AI can be integrated into your e-commerce site to reduce shopping cart abandonment.
  • AI significantly improves website user experience by making it intuitive, accessible, and easy to navigate.
  • AI-powered social media tools can help you monitor and gain valuable insights about your brand. You can then use this to develop a social media marketing strategy to gain new customers.

Achieve these milestones, and you’ll be sure to acquire new customers and retain existing ones.

Feature Image Credit: iStock/monsitj

Sourced from Black Enterprise

 

By Ryan Barwick

The company can tell which way the wind is blowing.

Advertisers are going to start finding a larger audience across Facebook’s apps.

The company announced in a blog post Monday that, unless someone links their accounts together, it will consider an individual user’s Instagram and Facebook accounts as two separate people—at least from an advertiser’s perspective.

  • Previously, Facebook counted someone with a Facebook and Instagram account as one person using identifiers like email, even if these accounts weren’t officially linked up.

Why the change? Facebook can tell which direction the wind is blowing.

“This update aligns with trends of offering people more control over how their information is used for ads and is consistent with evolving advertising, privacy, and regulatory environments,” wrote Facebook’s VP of product marketing, Graham Mudd.

Though he said pre-campaign audience estimates will look larger, “we do not believe this will have a substantial impact on reported campaign reach.”

  • Facebook said it’s been telling advertisers that changes were coming since June.

Refresh: It’s been quite a few weeks for advertisers on the Book.

In September, the company acknowledged that Apple’s privacy updates were more disruptive than advertisers initially expected, leaving marketers “blind” to Facebook’s campaign metrics.

Weeks later, whistle-blower Frances Haugen disclosed internal documents and accused Facebook of misleading advertisers, specifically its “shrinking user base” and how it counts the number of people using its platform.—RB

Feature Image Credit: Pexels

By Ryan Barwick

Sourced from Marketing Brew

By Carol Sankar

Your brand’s graphic design capabilities–or lack thereof–will go a long way in enhancing your credibility and appeal with your target audience.

This is why dominant brands like Nike have kept the same logo for years: Strong visual design can boost brand recall like nothing else. When done right and used consistently, a single image or combination of colours can instantly evoke your brand in the minds of your customers.

Strong design quickly communicates your brand identity.

Our brains are able to process images much quicker than text. And in an age when the average person’s attention span has shrunk to eight seconds, that fast processing of visual information is vital for communicating your brand’s identity.

This became especially clear during a recent conversation with Christiaan Huynen, founder and CEO of DesignBro. As part of his company’s platform, Huynen has reviewed portfolios from countless designers, giving him ample insight into what works and what doesn’t.

In our conversation, he was quick to point out that strong design can separate itself from weak design in a matter of seconds. The right combination of colours, images, typography, and symbols conveys identity and can even foster an emotional connection between the brand and the customer.

Even when customers aren’t design experts, they can inherently recognize strong, visually appealing design work–which in turn makes the brand more appealing.

Though it may be a cliche, the idea that “a picture is worth a thousand words” is very much applicable in quickly establishing and communicating a brand’s visual identity. Strong design tells customers if a brand is playful or serious, traditional or unconventional.

Strong design can have a direct impact on your sales results.

Creating instant identity through strong design can have a very real impact on a digital brand’s sales. A study in the United Kingdom found that for every £100 spent on design, a company’s profits would increase by an additional £83. At the same time, customer turnover would dramatically increase. The companies increased profits while simultaneously cutting costs.

In the digital era, strong graphic design draws customers’ eyes to the portions of your website that you most want them to visit. Bold menus and buttons make customers more likely to click through to view your products and services–and even more importantly, add them to their shopping cart.

A well-thought-out design also gives a professional appearance that can assure customers who might be wary of an unknown digital brand. Strong design leads to the assumption that your products or services are of similar quality.

Of course, weak design can have the opposite effect, scaring off customers who judge poor design as an indicator of low-quality products or a potential scam website.

Strong graphic design work that is utilized in your content marketing efforts will also boost engagement and sales. Social media graphics, infographics, or branded photos that are consistent with your brand’s visual identity will boost online engagement and lead to more clicks to your website.

Your brand’s graphic design capabilities–or lack thereof–will go a long way in enhancing your credibility and appeal with your target audience. By making a meaningful investment in design and utilizing best practices throughout your website, you can set your digital brand up for success.

Feature Image Credit: Getty Images

By Carol Sankar

Founder, The Confidence Factor@carolsankar

Sourced from Inc.

By

Can you spot the invisible bottle?

It isn’t every day that we see a company as big as Coca-Cola tweak its brand, but the soft drink giant has just revealed its magical new logo. Featuring a fresh wrap-around logo called the ‘Hug’ and a new tagline, this design is genius.

Coca-Cola has been running the fizzy drink game for decades now, and its logo has become an icon of modern culture. But the famous logo that we all know and love has just had an ingenious makeover – and we love it. If you are hoping to design your own clever logo, make sure you check out our 15 golden rules on logo design.

A Coca-Cola print ad for the 'Real Magic' campaign

The ingenious design looks as though the logo is wrapped around a Coke bottle (Image credit: Coca-Cola)

The new logo features the traditional Coca-Cola logo but is slightly wrapped around what we can only presume is an invisible Coke bottle. It’s amazing that the brand is so well recognised, that we can decipher the shape of the Coke bottle, despite it not even being there. The new logo is apparently inspired by togetherness, and the actual action of a hug, hence the wrapped around logo imitating that of arms mid-hug.

The new logo is accompanied by a new campaign and the tagline “Real Magic.” In the ad (below) for the branding update, viewers watch as a bottle of Coke sparks peace between players on an online game. And despite this ad feeling oddly similar to the advert when Kendall Jenner controversially solved world peace with a can of Pepsi, we think the new logo and the values behind the “Real Magic” are actually rather endearing.

Chief marketing officer Manolo Arroyo at Coca-Cola has said the “Real Magic” is “not just a tagline” and that it is “a philosophy.” According to an article on the Coca-Cola company website, the intentions behind the new campaign are to “increase the Coca-Cola consumer base through an ecosystem of experiences anchored in consumption occasions, such as meals and breaks, and merged with consumer passion points like music and gaming.”

The campaign features work from a number of artists and photographers that celebrates togetherness and inclusivity. With vibrancy, happiness and diversity all included in the new campaign, a number of new print ads will feature a range of colourful mediums.

Image 1 of 4

Coca-cola print ad.

The Real Magic campaign features a number of artists and mediums to promote inclusivity and happiness (Image credit: Coca-cola)

Coca-cola print ad.

This print ad takes the ‘hug’ quite literally! (Image credit: Coca-cola)

Coca-cola print ad.

We love the colour palette in this one (Image credit: Coca-cola)

Coca-cola print ad.

This design is utterly adorable (Image credit: Coca-cola)

The new logo has been praised online by Twitter users with users dubbing  the campaign as “happiness to look at,” and another calling the campaign “magic.” It’s apparent the internet likes the rebrand as much as we do.

We love this new friendly rebrand and love the fact that Coca-Cola have chosen to feature a number of different creative mediums. If you want to try your hand at logo design, then why not have a look at our roundup of the best free logo designer.

Feature Image Credit: Coca-Cola

By

Sourced from CREATIVE BLOQ

By Brian Eastwood

Executives must be ready to improve metrics that matter to internal and external stakeholders. Here’s what you need to know now to lead amid change.

Today’s business leaders must navigate a unique set of challenges in order to satisfy employees, customers, and shareholders. The latest insights from MIT Sloan Management Review help executives lead enterprise wide initiatives to improve diversity, corporate culture, and supply chain visibility, and to extract more value from investments in data and artificial intelligence.

Address diversity by going beyond the numbers

Nasdaq now requires companies listed on its exchange to meet gender and racial ethnicity targets for their board membership. This is a “narrow definition” of diversity efforts, according to MIT Sloan professor

as it says nothing about how female employees are treated or how the company supports marginalized groups.

Rigobon calls on companies to rethink diversity measures by accounting for inclusion, access, and treatment. This forces firms to assess their efforts to hire, retain, and promote minorities, and to explore how a changing corporate culture is tipping the scale toward inclusion.

Sometimes, initiatives will be about the numbers; for example, tracking exit interviews by gender and ethnicity to better determine what motivates employees to leave. However, the most impactful work extends beyond metrics. The recent Goldman Sachs commitment of $10 billion in investment capital and $100 million in philanthropic capital, with the goal of benefitting 1 million Black women, is less about the numbers and more about investing in housing, health care, education, job creation, and so on. That commitment won’t meet the Nasdaq target, but it’s far more likely to improve lives.

Watch these 5 key factors shaping corporate culture

Americans are quitting their jobs in record numbers, in a phenomenon called the Great Resignation. The biggest factor in keeping employees on board is corporate culture, but at most firms there’s a disconnect between their official core values and the elements of culture that matter to employees.

Analysing more than 1.4 million reviews posted to Glassdoor, MIT Sloan senior lecturer

and CultureX’s Charles Sull identified the major elements of corporate culture that are most closely tied to a company’s culture rating. Some oft-touted factors, such as friendly colleagues, flexible schedules, and manageable workloads, had no noticeable impact.

The authors looked at more than 150 cultural topics and listed 10 that matter most. Five stand out:

Employee respect is 18 times as important as the average cultural topic and twice as important as the second key topic. Simply put, employees don’t like being demeaned or degraded.

Supportive leaders help employees get the job done and have their back in times of need.

Job security may not be a typical corporate value, but if employees are talking about layoffs, firings, or outsourcing efforts, there’s a negative impact on culture.

Leaders living core values earn the appreciation of employees who otherwise expect executives to say one thing but do another.

Benefits have a greater impact on culture scores than compensation. Firms must be careful, though, as front-line workers have different priorities than office workers.

Use these 4 strategies to encourage supply chain transparency

Government regulators, investors, and consumers increasingly demand transparency from multinational firms about how goods are sourced and front-line workers are treated across the supply chain. Most supply chain transparency efforts focus on audits, but this is only a starting point, according to MIT Sloan associate professor

and co-author Tim Kraft of North Carolina State University. And while technology can help, suppliers in underdeveloped regions often lack the capabilities and infrastructure to implement Internet of Things sensors or blockchain.

To encourage supplier transparency, the authors make four recommendations.

  • Offer carrots, not just sticks. Suppliers who participate in transparency initiatives may be rewarded with preferred status, better contract terms, or joint investments in building capacity. This helps to shift transparency from a compliance requirement to a way to create business value.
  • Link visibility to efficiency. Companies with more visibility into supply chain operations are better able to direct resources where they are needed. This way, they can address specific environmental or social issues — and identify the right suppliers with whom to maintain a long-term relationship.
  • Embed transparency in the value proposition. Companies that source raw materials or products overseas in industries ranging from coffee and chocolate to clothes and cosmetics have captured market share by deliberately communicating the transparency of their supply chain.
  • Control your own destiny. If firms don’t like what they see in their supply chain, they can consider vertical integration. Purchasing a wood mill, coffee farm, or factory, and establishing new labour practices and environmental standards, puts visibility front and centre.

Improve data liquidity to make data an asset

Many companies understand the value of treating data as an asset. Unlike fixed assets such as equipment and cash, though, data’s value doesn’t have to diminish over time. The key is maximizing data liquidity, which lets organizations reuse, re-combine, and reanalyse data assets for process improvement, wrapping analytics around existing products, and selling new information-rich products.

It takes time for firms to reach this point of data monetization, notes Barbara H. Wixom, principal research scientist at the MIT Centre for Information Systems Research, and co-authors Gabriele Piccoli and Joaquin Rodriguez. When data remains trapped in localized business processes or closed platforms, when it’s been replicated in several locations, or when it is otherwise inaccurate, liquidity is low. It also takes resources to improve liquidity. The authors recommend starting with strategic data assets — any data that’s relevant across the enterprise and can create value in multiple ways.

The goal of data liquidity is to decontextualize data from its usual, designated purpose and to give it six characteristics: accurate, complete, current, standardized, searchable, and understandable. Using a centralized, cloud-based platform gives enterprises a single point for sharing, accessing, applying, and maintaining data; this also has the benefit of better governance and security. By spending less time gathering and cleaning data, data teams can implement new analytics use cases faster and spend more time solving business problems.

Push AI into production from a position of leadership

Many enterprises have struggled to achieve ROI on AI projects, largely because AI remains in an exploratory stage. Thomas H. Davenport, a fellow at the MIT Initiative on the Digital Economy, and BMO Financial Group’s Ren Zhang recommend six strategies to guide the success of enterprise AI initiatives.

  1. Build partnerships with business units that are not only likely to use AI but also understand its potential.
  2. Select projects with tangible business value and a clear path to production.
  3. Establish trust prior to deployment by collaborating with business unit leaders to estimate costs and manage change.
  4. Focus on reusable components, which will reduce the cost and speed of future implementations.
  5. Use proof-of-concept projects to demonstrate value, showcase a solution, and forge a path to production.
  6. Create a data science pipeline to better manage individual projects as well as the organization’s overall AI roadmap.

Feature Image Credit: Mimi Phan

By Brian Eastwood

Sourced from MIT Management

Edge computing and public clouds exist with synergy and codependence. This is the de facto model going forward.

We define edge computing as the ability to place some amount of processing and data near the sources of the data as well as near the systems or humans that need quick access to the processing.

It’s a simple idea, and certainly nothing new. However, the popularity of edge computing continues to gather steam as we move more systems to centralized public clouds and modernize related applications and data stores.

As a result of this migration, we now recognize that not all modernized applications and data stores should only exist in a central location. Thus, the ‘new’ option of moving them to the realm of edge computing, specifically, to the edge of public clouds.

Much of the initial confusion with edge computing came from erroneous messaging from the tech press (and even from some companies) that edge computing was a replacement for cloud computing and other notions that were incorrect at their core.  Yes, there are questions that need to be answered when any new hyped technology concepts hit the technology zeitgeist. However, once when we understood the concepts of edge and cloud computing in context of each other, the patterns of synergy began to emerge.  Hopefully the confusion will continue to subside.

The Edge of What?

What drove the concept of edge computing was the rise of IoT and other technologies that are distributed to be optimized for the systems and humans that leverage them.

For example, it doesn’t make sense for a self-driving automobile to send all data and requests for data processing over a cellular network to some centralized system in a public cloud. The only way self-driving cars will work is if they can maintain data and processing at the edge, meaning, in the car.  This allows the data and processing to occur with little or no network latency, providing fast enough reactions that you don’t hit a tree.

However, edge is not just for devices anymore.  Edge clouds are now an option for those who want to have a small cloud instance in their data centre. This allows local processing and data storage with much less latency than if the data and processing requests were sent one thousand miles away to a public cloud server that is shared with hundreds of other tenants.

The idea is to keep some but not all public cloud services on the edge clouds while still supporting a symbiotic relationship with edge clouds and their public cloud overlords.  They can work together as needed for storage and processing, sharing data and processing tasks. System developers have the option to deploy data and applications on the edge cloud, the public cloud, or within applications and data sets that are divided between the two.

Microsoft’s Stack and AWS’s Outpost are the best examples of edge clouds.  However, other smaller cloud providers have exploited the desire for some enterprises to leverage edge clouds as well.  The larger cloud players often look at edge clouds as a path to their public clouds, which typically have more services and benefits.  However, some enterprises will opt for edge cloud over public clouds ongoing.

Beyond edge clouds and edge devices we have:

  • Edge sensors, where data is usually consumed through a triggering event. For example, your smart thermostat might send a text to your phone when it’s time to change your filter.
  • Edge branches maintain their own set of compute and data storage functions. For example, banks may leverage this model to support a remote branch that independently uses local systems that don’t require constant interaction with centralized systems or public clouds.
  • Edge enterprises, like edge branches, allow independent systems to exist within parts of a larger geographically distributed enterprise. For example, an edge enterprise system can support a European office with special data and processing that’s specific to the local office’s country and location.
  • Edge datacentres are smaller datacentres that exist to support a geographic region. This edge segment saw strong growth since the pandemic started, with employees working from areas that needed a closer datacentre to support their remote activities.

Cloud Computing vs. Edge Computing

Right now, the confusion seems to centre around how cloud and edge computing are supposed to coexist. Reality check: Edge computing typically means the edge of public clouds. You can partition the processing and data between the public clouds and edge-based systems in such a way that the each carries out a role that each does best.

Consider our self-driving car example above. The device within the car should do some immediate processing, such as figuring out that you’re headed for a tree and take immediate evasive actions so you’re not killed. Also important but less critical, the edge device may share massive amounts of engine data with systems on back-end public clouds servers that can proactively determine maintenance issues. They may leverage more process-intensive services such as AI and deep data analytics to find and match patterns to ensure that you’re not stranded on the side of the road with a mechanical breakdown.

The idea is that each tier—the edge tier and the cloud tier—carry out their own sets of functions that are proper for each tier. The cloud takes on tasks that require large amounts of storage, processing, and even spiralized services such as AI, analytics, and pattern matching.  The edge device does tasks that don’t require excessive processing and data storage but need to provide an immediate response with limited or no latency. Together, the edge and cloud systems form a single unified system with edge and cloud components that are purpose built to be hosted on an edge or cloud platform.

The Edge on Public Cloud

The public cloud providers saw this coming a mile away. All major cloud providers offer edge development and deployment services, including those that use container, serverless, and other technologies developed for clouds as well as those developed for edge computing.

Public cloud providers can manage deployments to edge-based systems, and even maintain digital twins for edge-based devices and systems. This allows you to maintain versions of applications and data for testing and deployment that run on most types of edge systems.

Public cloud-based edge development and deployment systems can even handle versioning, configuration management, and other functions related to dealing with a massive amount of distributed edge-based systems. This supports most of the edge computing models listed above such as enterprise, device, edge cloud, and edge datacenters.

Yes, edge computing is many different things, but most paths lead back to public cloud computing. The edge needs to be at the edge of something. In most cases, it’s at the edge of a public cloud. Edge computing and public clouds exist with synergy and codependence.  This is the de facto model going forward.

By David Linthicum

David Linthicum is the Chief Cloud Strategy Officer at Deloitte Consulting.

Sourced from eWeek

Sourced from Native News Online

In 2021, 4.48 billion people will use social media on a daily basis. This means that almost half the world’s population has some form of online presence. So, it is very likely that your brand image will depend on the social media presence that it commands. And in this article, we will look at the best tips for building a brand on social media.

1. Update Your Profile

The first, and most basic step in building a reliable brand online is to fully update your online profile. As a brand, you want to be visible and accessible. So, people should be able to find accurate information about your profile on every social media platform. You should also ensure that every detail that visitors would want to know is filled in and available.

Lastly, remember to remove any controversial content that you might have posted in the past. This can result in a bad reputation in the future, and will be harmful for your growth.

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2. Setting S.M.A.R.T goals

A concrete social media branding strategy, going by the acronym S.M.A.R.T, it stands for:

  • Specific: You need to decide on a specific goal before you put your time and energy into achieving it.
  • Measurable: The goal you set out for your brand should be measurable. Metrics such as follower count or engagement count is key in this case.
  • Achievable: Ensure that the goals you set out for your brand to accomplish are do-able in the near future.
  • Relevant: You should have a clear idea about how the plan will impact and benefit your business.
  • Timely: Always set out a timeframe to achieve a particular goal. This promotes accountability and encourages you to push your limits.

3. Identify Your Target Audience

Every person in the world cannot be your targeted audience. You need to be specific in the type of people that will benefit from the content you post or the services you offer. This will help you identify hot leads, and deliver better service to customers. As a result, you will have better customer satisfaction and retention.

In the long run, having a target audience in mind will help you spend your money effectively and market your brand to the relevant people. Check out the dos and don’ts about getting an audience here.

4. Create Engaging Content

Once you have identified your target audience, and have updated your profile, it is time to create. Branding on social media is best achieved through great content.

People respond better to visual content than text. So, create infographics and images to maximize your reach and impressions on followers. Use attractive colours in your graphics. Remember to use the popular hashtags based on the genre of your content so that people can access it based on their preferences.

If you’re promoting a product or service, have compelling product photos to showcase your brand. This strategy is not only used by the established companies, but also the smaller businesses. Overall, it makes your profile look much more professional and appealing to a customer.

5. Build Relationships Through Social Media Brand Marketing

Keeping an engaged audience is key when you’re building brand awareness through social media. In many cases, having an engaged low follower count, is better than having a high count with no engagement.

Answer questions and reply to comments whenever possible. Mention people using the ‘@’ tag when you’re posting as well. Lastly, share other people’s content, especially when it applies to you. Reply to their mentions of your brand, and ensure that you’re human in your approach.

Don’t try to hard-sell people about your deals and offers on your page. Instead, give them nuggets of information that they can use. This way, you’re building a positive brand image and people will be more likely to use or recommend your services.

Sourced from Native News Online

By Keyede Erinfolami

Your online presence is permanent, right? Is it even possible to delete yourself from the internet?

One of the major tradeoffs for access to the digital world is privacy.

Unfortunately, you can never completely delete yourself from the internet, simply because you’d have to find every photo, video, tweet, mention, comment, shopping order, to name a few, and delete them. However, there are ways to minimize your online footprint, reducing the likelihood of your data being exposed.

In this article, we have outlined a basic roadmap on how to get control of what information about you is available online. If you want delete your online presence, read on.

How To Remove Yourself From the Internet

There are several reasons anyone would want to remove all traces of themselves from the internet permanently. Reasons may likely include:

  • To safeguard your identity and prevent identity theft.
  • Increase your general privacy.
  • You are being bullied or stalked online.
  • Clean your online image as you are up for a political post.
  • Put an end to all those targeted advertisements. Although unlikely, if this is a major reason for deleting yourself from the internet, you’ll be glad to know that there are ways to reduce targeted ads on social media.
  • You are about to do something nefarious.

The list goes on, but before we proceed to the steps, deleting yourself from the internet comes with some drawbacks, like:

  • You will lose access to certain platforms and services, as emails and some personal information are required for access.
  • An absence of a digital presence may be seen as a red flag against you, especially during job interviews.
  • You will become more isolated as non-physical interactions with friends, family, or colleagues will become more difficult.

If these are your intentions in the first place or you are comfortable with these drawbacks, then let’s proceed.

The only way to regain control over your privacy is to control what details about yourself are available online.

Remove Your Personal Details From Search Engines and Data Collection Sites

The first place anyone looking for information about you would likely try is a search engine, especially Google. So you should search for your name in not only Google, but also Bing, Yahoo, and any other search engine available in your region.

Remove Outdated Search Results

Assume you want to remove a webpage that contains personal information about you. Like your former employer’s staff page, even months after you’ve left. You contact them to request that they update the page. They do, but when you Google your name, the page still appears in the search results despite your name being nowhere to be found when you click the link. This means that the previous version of the page is still cached on Google’s servers.

What to do? Submit the URL to Google in the hope that it will update its servers, deleting the cached search result and disassociating you from the page. Of course, there’s no guarantee Google will remove the cached information for whatever reason, but it’s worth a shot to remove as much of your presence from the internet as possible.

Delete Your Social Media Accounts

disappear-from-social-networks

Without a doubt, your social media accounts contain a large cache of very personal details. Any stranger can look at your photos, videos, birthdays, and family links just by scrolling through your social page. Delete and deactivate all your social media accounts, and we mean all. Your Facebook, Twitter, Instagram, LinkedIn, Reddit, and everything else all have to go. Again, this is a big deal, so make sure you consider the long-term implications of deleting your social media accounts before you do so.

To delete these accounts, navigate to your account settings and look for the option to deactivate, remove, or close your account. Depending on the account, it could be under Security, Privacy, or something similar.

If you’re having trouble with a specific account, try searching “How to delete,” followed by the name of the social media account you want to delete online. You will find guidance on how to delete that specific account. If deleting the account is impossible, change the account information to randomize it completely and switch it to private.

Clear Your Online Shopping and Browser History

Photo of delete button on a computer

Every time you shop online, you leave your financial information on the site and a mailing address, too. These sites, if breached, might reveal a host of personal and sensitive details about its shoppers.

So, just like you did with your social media accounts, all your shopping accounts must either be deleted or deactivated. Your browser history, including passwords, cache, cookies, bookmarks, and payment methods, must be cleared.

Delete Email Accounts and Blog Activity

To truly stay deleted yourself, your email account has to go. This is an important step, as your email contains a lot of personal, financial, and trivial information about you.

Also, blogs, posts, and comments contain personal thoughts and opinions which you might not want out in the open. So all those email accounts, online blogs, and forums you have subscribed to, whether active or not, must be deleted. Run your details through several search engines to find any old accounts you have in case you missed any.

Some of these forums make it difficult to delete past comments, so the best alternative is to go back and trace all and edit each.

By Keyede Erinfolami

Sourced from MUO