Tag Archive | "Future"

The Journey Is The Destination: How Anticipation And Pursuit Of The Future Make You Happy Today

Note From Yaro: This article is from my Change Manifesto series. Entrepreneurs-Journey.com and ChangeManifesto.com are being merged into my one main website, Yaro.blog, the umbrella brand for all my work going forward.  I was sitting at a cafe in Australia, listening to some girls seated at a nearby table talk about guys and dating. “Guys […]

The post The Journey Is The Destination: How Anticipation And Pursuit Of The Future Make You Happy Today appeared first on Yaro.Blog.

Entrepreneurs-Journey.com by Yaro Starak

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Why We’re Doubling Down on the Future of SEO – Moz + STAT

Posted by Dr-Pete

Search is changing. As a 200-person search marketing software company, this isn’t just a pithy intro – it’s a daily threat to our survival. Being an organic search marketer can be frustrating when even a search like “What is SEO?” returns something like this…

…or this…

…or even this…

So, why don’t we just give up on search marketing altogether? If I had to pick just one answer, it’s this – because search still drives the lion’s share of targeted, relevant traffic to business websites (and Google drives the vast majority of that traffic, at least in the US, Canada, Australia, and Western Europe).

We have to do everything better

The answer isn’t to give up – it’s to recognize all of this new complexity, study it, and do our jobs better. Earlier this year, for example, we embarked on a study to understand how SERP features impact click-through rates (CTR). It turns out to be a difficult problem, but even the initial insights of the data were useful (and a bit startling). For example, here’s the average organic (SERPs with no features) curve from that study…

Various studies show the starting point at various places, but the shape itself is consistent and familiar. We know, though, that reducing everything to one average ignores a lot. Here’s a dramatic example. Let’s compare the organic curve to the curve for SERPs with expanded sitelinks (which are highly correlated with dominant and/or branded intent)…

Results with sitelinks in the #1 position have a massive 80% average CTR, with a steep drop to #2. These two curves represent two wildly different animals. Now, let’s look at SERPs with Knowledge Cards (AKA “answer boxes” – Knowledge Graph entities with no organic link)…

The CTR in the #1 organic position drops to almost 1/3 of the organic-only curve, with corresponding drops throughout all positions. Organic opportunity on these SERPs is severely limited.

Opportunity isn’t disappearing, but it is evolving. We have to do better. This is why Moz has teamed up with STAT, and why we’re doubling down on search. We recognize the complexity of SERP analytics in 2018, but we also truly believe that there’s real opportunity for those willing to do the hard work and build better tools.

Doubling down on RANKINGS

It hurts a bit to admit, but there’s been more than once in the past couple of years where a client outgrew Moz for rank tracking. When they did, we had one thing to say to those clients: “We’ll miss you, and you should talk to STAT Search Analytics.” STAT has been a market leader in daily rank tracking, and they take that job very seriously, with true enterprise-scale capabilities and reporting.

For the past couple of years, STAT’s team has also been a generous source of knowledge, and even as competitors our engineering teams have shared intel on Google’s latest changes. As of now, all brakes are off, and we’re going to dive deep into each other’s brains (figuratively, of course – I only take mad science so far) to find out what each team does best. We’re going to work to combine the best of STAT’s daily tracking technology with Moz’s proprietary metrics (such as Keyword Difficulty) to chart the future of rank tracking.

We’ll also be working together to redefine what “ranking” means, in an organic sense. There are multiple SERP features, from Featured Snippets to Video Carousels to People Also Ask boxes that represent significant organic opportunity. STAT and Moz both have a long history of researching these opportunities and recognize the importance of reflecting them in our products.

Doubling down on RESEARCH

One area Moz has excelled at, showcased in the launch and evolution of Keyword Explorer, is keyword research. We’ll be working hard to put that knowledge to work for STAT customers even as we evolve Moz’s own toolsets. We’re already doing work to better understand keyword intent and how it impacts keyword research – beyond semantically related keywords, how do you find the best keywords with local intent or targeted at the appropriate part of the sales funnel? In an age of answer engines, how do you find the best questions to target? Together, we hope to answer these questions in our products.

In August, we literally doubled our keyword corpus in Keyword Explorer to supercharge your keyword research. You can now tap into suggestions from 160 million keywords across the US, Canada, UK, and Australia.

Beyond keywords, Moz and STAT have both been market leaders in original industry research, and we’ll be stronger together. We’re going to have access to more data and more in-house experts, and we’ll be putting that data to work for the search industry.

Doubling down on RESULTS

Finally, we recognize that SERP analytics are much more than just a number from 1–50. You need to understand how results drive clicks, traffic, and revenue. You need to understand your competitive landscape. You need to understand the entire ecosystem of keywords, links, and on-page SEO, and how those work together. By combining STAT’s enterprise-level analytics with Moz’s keyword research, link graph, and technical SEO tools (including both Site Crawl and On-demand Crawl), we’re going to bring you the tools you need to demonstrate and drive bottom-line results.

In the short-term, we’re going to be listening and learning from each other, and hopefully from you (both our community and our customers). What’s missing in your search marketing workflow today? What data do you love in Moz or STAT that’s missing from the other side? How can we help you do your job better? Let us know in the comments.

If you’d like to be notified of future developments, join our Moz+STAT Search Analytics mailing list (sign-up at bottom of page) to find out about news and offers as we roll them out.

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Cloudera CEO: How We Become the Next Oracle of the Future

Last week, Cloudera and Hortonworks announced that the companies were merging to “create the world’s leading next-generation data platform provider, spanning multi-cloud, on-premises, and the Edge.” Cloudera CEO Tom Reilly says that providing technology to help manage the huge volume of data generated from the Internet of Things is where “Cloudera is going to compete and that’s how we become the next Oracle of the future. “

Tom Reilly, CEO of Cloudera, discussed the Hortonworks merger and how they plan to become the next Oracle type company in an interview with Jim Cramer on Mad Money:

This is a Wonderful Merger

This is a wonderful merger. Basically, by bringing these two companies together we are creating immense shareholder value. Our plans are that by 2020, just around the corner, our combined company Cloudera plus Hortonworks will be greater than a billion dollars in annual revenues, will be greater than 20 percent year-over-year growth, and will have greater than 15% operating cash flow margins. The amount of shareholder value we will create by bringing us together is immense.

Profitability of the combined company is our goal. This has been a rivalry that’s going on for nearly 10 years. We have been going at it really hard against each other and that has made us both better. Competition is wonderful, but now there’s a new set of competitors that we can combine ourselves to be a much stronger company at greater scale and we can take on a new set of competitors, and a lot of it are these cloud guys, where we are extremely well positioned to win in a different market.

What Does Cloudera Do?

Samsung Electronics, like all other manufacturers, are instrumenting and connecting the devices they create to the Internet. It’s called the Internet of Things. Every car, every cell phone, everything through a supply chain is being instrumented including autonomous vehicles. We sell technology for our customers to collect all that data and use machine learning and artificial intelligence to understand better how products are being used and to make them more efficient or to build autonomous vehicles. This is what we do. Cloudera and Hortonworks allow us to deliver an enterprise data cloud from the Edge where data comes from all the way to AI, getting insight out of that data.

Merger is a Win-Win for Everyone

This merger is a win-win for everyone. All of our customers are happy, all of our partners are happy, and yes our partner systems is going to get larger because Cloudera has some unique partnerships and relationships as does Hortonworks. Regarding our IBM partnership, Hortonworks and IBM have had a wonderful strategic partnership.

The new Cloudera is going to embrace that partnership much like we Cloudera have had a wonderful relationship with Intel. Now we’re going to bring in the Hortonworks customer base and they’re going to get the benefits of our relationship with Intel. We intend this to be a win-win not only for our shareholders, our partners, our customers, and all of our employees.

How We Become the Next Oracle

A  lot of the excitement about this merger is people expect us to be the next Oracle. That doesn’t mean we’re replacing Oracle legacy business or their traditional business. No, the world is changing with this Internet of Things. Data is of much more volume and people want to do artificial intelligence machine learning against that data. That’s where we’re going to compete and that’s how we become the next Oracle of the future.

The fact of the matter is Oracle is a good partner of ours. Oracle has resold Qatar our software for a long time and we’re excited about what Oracle is doing in the cloud and we intend to work with them there. Cloudera plus Hortonworks working together will be the only provider delivering our software across all the major cloud guys. We work on Amazon, Microsoft, Google, and the IBM cloud and that’s our value proposition, enterprises they can work across all the cloud providers.

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Google My Business testing future opening dates in the local panel for new businesses

Google can let searchers know when a new business will be opening its doors.

Please visit Search Engine Land for the full article.

Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing

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How Artificial Intelligence Will Affect eCommerce in the Future

Over the past decade, there has been an exponential rise in the integration of artificial intelligence in many areas of our daily lives. You encounter it every time Amazon recommends a product for you, or when Google predicts what you are looking for before you’re done typing it in the search box. AI is also likely to be the first thing you talk to when you call your bank to check your account.

Because of AI’s efficiency and ability to give consumers a one-to-one experience, its use will continue to grow. A Gartner Study predicts that by 2020, as much as 85 percent of all customer interactions will be done without humans.

If you own an eCommerce store, it’s essential to make yourself aware of these trends and decide on how you will apply them to your business.

Take a look at some of the ways that AI is changing eCommerce:

Provides More Personalized Customer Experience

One big advantage of using AI is how much it can personalize a customer’s shopping experience. A good example is The North Face’s collaboration with IBM to assist customers in finding the right jacket.

[Image of user interface via TheNorthFace.com]

When customers visit The North Face website, IBM’s Watson pops up to ask where and when the jacket will be used. The AI will also ask follow-up questions based on the answers the customer gives. Once it has enough data, it will scan The North Face’s inventory and recommend several jackets based on its relevance to the client’s answers.

Boosts Customer Trust and Exposes Fake Reviews

Online reviews have a big impact on whether a consumer will make a purchase. Unfortunately, not all reviews are made by people who legitimately bought a product. This can affect a site’s algorithms and result in mistrust between buyers and sellers. AI can combat this dilemma. Let’s take Amazon’s example. Its AI puts more weight on verified customer purchases while also taking into account reviews that are marked “helpful” or new.

Making sure that the reviews consumers read on your site regarding your products are trustworthy is essential to building your reputation and brand loyalty. Customers will also be more willing to return and buy more if they know the reviews they’re reading are genuine.

Makes Search Easier and More Customer Focused

As a consumer, you’ve probably experienced seeing something that you want but have no idea what it’s called, who makes it, or even if it’s on sale. AI is now making it easier for you to find the information you need, thanks to its enhanced capabilities to interpret, classify, and understand images.

Pinterest has already been making use of AI technology with its enhanced visual search tool. Now, if a cool pair of shoes catches your eye while looking at Pinterest, you’ll be shown items that are visually similar to it.

Image result for pinterest visual search tool gif

The tool reduces the time a consumer will spend searching for an item. It also boosts conversion rates and retargeting options for businesses that market their items via the platform.

Improves Inventory Management

AI is also making a big difference in how companies manage their inventories. People who work in retail understand how difficult it is to keep shelves stocked, track everything accurately, and ensure that inventory is up-to-date.

Inventory management traditionally utilized a hindsight perspective, something that doesn’t work in today’s dynamic online marketplace. AI technology uses predictive analysis to assess what demands will likely rise and gathers key information about factors that are driving this demand.

AI’s machine learning feature also means that the longer the company uses it, the more it learns about the business, its customers, and site visitors. It will then get better at accurately predicting what items the company requires in its present inventory and what it will need in the future.

AI is becoming a driving force in how businesses cater to their clients’ interest and needs. With it, eCommerce platforms can give more personalized services, provide better recommendations on products and improve trust between the customer and the brand. 

[Featured image via Pixabay]

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Web Personalization: The Future of Digital Marketing and Sales Is Now

In the beginning, the business website was a mere brochure. Low value, low shareability, low findability. Around 2005, a big shift happened thanks to content. Cutting-edge business websites became educational resources with valuable content that ranked well in search engines and benefited from the sharing functionality of emerging social media. Soon, “cutting edge” became the
Read More…

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Zero-Result SERPs: Welcome to the Future We Should’ve Known Was Coming

Posted by Dr-Pete

On Wednesday, Google launched a large-scale experiment, removing organic results from a small set of searches with definitive answers such as this one for “What time is it in Seattle?”:

These SERPs display a Knowledge Card with a “Show all results” button and no additional organic results or SERP features. Danny Sullivan wrote on Twitter that this is currently limited to a small set of answers, including calculators, unit conversions, and some time/date queries. Here’s another one, converting yesterday’s MozCast temperature (“108 degrees in celsius”):

At first glance, this is a startling development, but it shouldn’t be entirely surprising. So, let’s get to the hard questions — is this a sign of things to come, and how quickly do we need to adapt?

For today, don’t panic

First off, preliminary data suggests that these really are isolated cases. Across the 10,000 searches that MozCast tracks daily, one search (0.01%) currently displays zero results: “1 gigabit to gigabyte.” This change is not impacting most high-volume, competitive queries or even the vast majority of results with Knowledge Cards.

Second, we have to face the reality that Knowledge Cards, even paired with organic results, already dramatically impact search user behavior. Thanks to Russ Jones, we’ve pulled some data from an internal CTR study we’re currently working on at Moz. In that study, SERPs with 10 blue links have a roughly 79% organic click-through rate (overall). Add just a Knowledge Card, with no other features, and that drops to 25%. That’s a 68% drop-off, a loss of over two-thirds of organic clicks. Google has tested this change and likely found that showing organic links on these particular searches provided very little additional value.

This isn’t new (part 1)

I’m going to argue that this change is one that we in the industry should’ve seen coming, and I’m going to do it in two parts. First, we know that Knowledge Cards and other answers (including Featured Snippets) power SERPs on devices where screen size is at a minimum or non-existent.

Take for example, a search for “Where was Stephen Hawking born?” Even though the answer is definitive (there is one factual answer to this question), Google displays a rich Knowledge Card plus a full set of organic SERPs. On mobile, though, that Knowledge Card dominates results. Here’s a full-screen image:

The Knowledge Card extends below the fold and dominates the mobile screen. This assumes I see the SERP at all. Even as I was typing the question, Google tried to give me the answer…

If the basic information is all I need, and if I trust Google as a source for that information, why would I need to even click at this point?

On mobile, I at least have the option to peruse organic results. On Google Home, if I ask the same question (“Where was Stephen Hawking born?”), I get no SERP at all, just the answer:

“Stephen Hawking was born in Oxford, United Kingdom.”

Obviously, this is born of necessity on a voice-only device like Google Home, but we get a similarly truncated result with voice searches through Google Assistant. This is the same answer on my phone (the same phone as the previous screenshots), but using voice search instead of text search…

Google’s push toward voice UI and mobile-first design means that these considerations sometimes move back up the chain of devices. If the answer is enough for voice and mobile, maybe it’s enough for desktop.

This isn’t new (part 2)

Over the past couple of years, I’ve talked a lot about how SERPs have expanded well beyond 10 blue links. What we talk about less is the flip-side, that SERPs are also shrinking. Adding SERP features is, in some cases, a zero-sum game, at the cost of organic results.

Each of the following features take up one organic position:

  • Full site-links (each row)
  • Image results
  • Top Stories
  • In-depth articles (3 articles = 1 organic)
  • Tweets (carousel)
  • Tweets (single)

Across the 10,000 SERPs in our data set, over half (51%) had less than 10 traditional organic results. While very-low counts are rare, over one-fourth of page-one SERPs fell into the range of 5–8 organic results.

While the zero-result SERP is certainly a new and extreme case, the removal of organic results in favor of other features has been happening (and expanding) for quite some time now. SERPs with as few as 3–4 page-one organic results have been appearing in the wild for well over a year.

In some cases, you might not even realize that a result isn’t organic. Consider, for example, the following set of results on desktop. Can you spot the In-depth Articles?

On desktop results, there are no visual markers separating In-depth Articles from organic results, even though these results are powered by two different aspects of the algorithm. From the source code markers, we can see that the answer is #2–#5, three results which displace one organic result:

Another example is Twitter results. You’ve probably seen the Twitter carousel, which is a visually distinct format with three tweets, but have you seen a result like this one (on a search for “cranberry”)?

At first glance, it looks organic (except for the Twitter icon), but this result is a vertical result pulled directly from the Twitter data feed. It is not subject to traditional organic optimization and ranking factors.

All of this is to say that organic real estate has been shrinking for quite a while, giving way to vertical results, Knowledge Graph results, and other rich features. Google will continue to experiment, and we can expect that some SERPs will continue to shrink. Where the data suggests that one answer is enough, we may only see one answer, at the cost of organic results.

Search intent vs. opportunity

It’s easy to let our imaginations run wild, but we have to consider intent. The vast majority of searches are never going to have one definitive answer, and some queries aren’t even questions, in the traditional sense.

From an SEO and content standpoint, I think we have to expand our idea of informational search intent (vs. transactional or navigational, using the classic model). Some questions are factual, and can be answered by the ever-expanding Knowledge Graph. As of today, a search like “When is Pi Day?” still shows organic results, but the Knowledge Card gives us a definitive answer…

Here, organic opportunity is very limited. Think of this as a “closed informational” search.

On the other hand, open-ended questions still rely very much on a variety of answers, even when Google tries to choose one of those answers. Consider the search “What is the best pie?”, which returns the following Featured Snippet (a hybrid of organic result and answer box)…

No one answer will ever suffice for this question. Even the author of this post had the decency to say “Go ahead and let me have it in the comments,” knowing the disagreement would soon flow like cherry filling.

Think of these searches as “open informational” searches. Even if we have to compete for the Featured Snippet (especially on voice results), there will be organic/SEO opportunity here for the foreseeable future.

Ultimately, we have to adapt, and we have to get smarter about the searchers we target. Where Google can answer a question, they will try to answer that question, and if organic results add no measurable value (regardless of whether you agree with how Google measures value), they will continue to shrink.

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Can you predict what the future holds for your inbound links?

Gazing into her crystal link building ball, columnist Julie Joyce says it’s hard to tell if your links will even be in place, much less be effective, in the future.

The post Can you predict what the future holds for your inbound links? appeared first on Search Engine Land.

Please visit Search Engine Land for the full article.

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Google Does Not Want To Depend On Structured Data & Schema In Future

At SMX East, Gary Illyes from Google said that he wants to see Google to get to a place where they do not need structured data or schema…

Search Engine Roundtable

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Packing Robots: The Future of Warehouse Operations for eCommerce Businesses

Automation has always provided immeasurable benefits to businesses and economies alike. It paved the way for the industrial revolution and the rapid rise of production plants. These days, a new type of automation is making its presence felt – intelligent warehouse robots. These robots have started changing the way warehouses and eCommerce does their business.

Robots are already being used in a lot of warehouses. Their tasks are usually to bring boxes or shelves of products to an employee who will then pack the orders into boxes in preparation for shipping. So far, the intricacy of sorting through tens of thousands of products has made the idea of using robots for packing orders unrealistic. However, that might soon change, as reports have indicated that the newer warehouse robots are now more flexible.

Rise of the Warehouse Robots

It comes as no surprise that Amazon is leading the charge in the use of robots in their warehouses. After all, the eCommerce giant prides itself on its fast and efficient delivery system, something that robotic automation undoubtedly helped with. Amazon started using robots from Kiva Systems in 2011 before buying the company a year later. Now there are more than 15,000 Kiva robots in Amazon’s warehouses, where they are used to bring products to an employee for picking and packing. This significantly cuts down the time an employee would take to navigate the warehouse and look for the product.

Kiva Systems, which is now known as Amazon Robotics, paved the way for companies like Fetch Robotics and GreyOrange to develop their own line of warehouse robots. The former developed the Fetch and Freight system, with the Fetch robots picking items from a shelf while the Freight component moves the product through the warehouse. Meanwhile, GreyOrange developed a Butler robot that helped merchants like Flipkart and Jabong run their operations smoothly by moving through their warehouses to collect high-volume and high-mix orders set to be shipped.

Advantages of Robotics

A 2015 report on the rise of the warehouse automation market discussed the growth of eCommerce and its effects, particularly on the workforce. Picking and packing robots can provide a distinct advantage to retailers. Unlike their human counterparts, companies don’t have to provide sick days, vacation leaves, health insurance or lunch breaks to robots. No training is required for robots and they can be utilized 24/7, a feature that comes in handy during busy holiday seasons. Instead of having to hire extra warehouse workers to cope with massive orders, robots can pick up the bulk of the work while substantially reducing costs. Plus, it requires minimal human interaction.

Analysts have also projected that robots will cost the company less in the long run. For instance, one of the more advanced Fetch warehouse robots is priced anywhere from $ 35,000 to $ 100,000. However, that price will certainly go down as more units are sold. It’s estimated that in about five years, one robot will be less expensive to maintain that an employee with a $ 15 minimum wage and benefits.

Fears About Robots

The price of fully automating a warehouse is a major stumbling block, especially for small retailers or medium-sized businesses. Companies would also have to deal with the fall-out and anger from employee groups and labor unions who are worried that warehouse robots will cost them their jobs.

Robotics and the Future of eCommerce

Automation will undoubtedly play a big part in companies getting a competitive boost in a bustling market. Consumers are getting more demanding, making speed a key consideration in eCommerce. This means that companies need to figure out how to cut down their shipping time and ensure that customers receive their orders as soon as possible. Amazon’s claim of same day delivery has also put pressure on itself and other companies, as well as raising expectations among consumers.

The emergence of newer and smarter warehouse robots can cut down on the time and effort needed to pick orders, pack and ship parcels, scan and update inventory, arrange existing items on shelves or add new ones and complete other tasks.

Robotics companies are already working to meet the demands of eCommerce. One mystery retailer has been reported to have invested in a picking robot from robotics company Kuka while RightHand Robotics has begun testing the capabilities of its picking robots at another unnamed retailer’s warehouse. Meanwhile, Amazon continues to pour money into robotics – hosting robotic competitions and funding research – in a bid to further develop this technology. If the company continues this course, experts predict that it might accomplish full automation in less than a year.

When picking and packing robots are finally utilized, companies like Amazon can cut down the cost and time of fulfilling orders by 1/5, thereby push their profits higher. However, it might also push out an immense number of the human employees out of the workforce, further fueling the disdain and anger people feel against the use of these machines.

[Image via YouTube]

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