Advertisements

The 7 Biggest Technology Trends In 2020 Everyone Must Get Ready For Now

We are amidst the 4th Industrial Revolution, and technology is evolving faster than ever. Companies and individuals that don’t keep up with some of the major tech trends run the risk of being left behind. Understanding the key trends will allow people and businesses to prepare and grasp the opportunities. As a business and technology futurist, it is my job to look ahead and identify the most important trends. In this article, I share with you the seven most imminent trends everyone should get ready for in 2020.

AI-as-a-service

Artificial Intelligence (AI) is one of the most transformative tech evolutions of our times. As I highlighted in my book ‘Artificial Intelligence in Practice’, most companies have started to explore how they can use AI to improve the customer experience and to streamline their business operations. This will continue in 2020, and while people will increasingly become used to working alongside AIs, designing and deploying our own AI-based systems will remain an expensive proposition for most businesses.

For this reason, much of the AI applications will continue to be done through providers of as-a-service platforms, which allow us to simply feed in our own data and pay for the algorithms or compute resources as we use them.

Currently, these platforms, provided by the likes of Amazon, Google, and Microsoft, tend to be somewhat broad in scope, with (often expensive) custom-engineering required to apply them to the specific tasks an organization may require. During 2020, we will see wider adoption and a growing pool of providers that are likely to start offering more tailored applications and services for specific or specialized tasks. This will mean no company will have any excuses left not to use AI.

Today In: Innovation

5G data networks

The 5th generation of mobile internet connectivity is going to give us super-fast download and upload speeds as well as more stable connections. While 5G mobile data networks became available for the first time in 2019, they were mostly still expensive and limited to functioning in confined areas or major cities. 2020 is likely to be the year when 5G really starts to fly, with more affordable data plans as well as greatly improved coverage, meaning that everyone can join in the fun.

Super-fast data networks will not only give us the ability to stream movies and music at higher quality when we’re on the move. The greatly increased speeds mean that mobile networks will become more usable even than the wired networks running into our homes and businesses. Companies must consider the business implications of having super-fast and stable internet access anywhere. The increased bandwidth will enable machines, robots, and autonomous vehicles to collect and transfer more data than ever, leading to advances in the area of the Internet of Things (IoT) and smart machinery. Smart cities

Autonomous Driving

While we still aren’t at the stage where we can expect to routinely travel in, or even see, autonomous vehicles in 2020, they will undoubtedly continue to generate a significant amount of excitement.

Tesla chief Elon Musk has said he expects his company to create a truly “complete” autonomous vehicle by this year, and the number of vehicles capable of operating with a lesser degree of autonomy – such as automated braking and lane-changing – will become an increasingly common sight. In addition to this, other in-car systems not directly connected to driving, such as security and entertainment functions – will become increasingly automated and reliant on data capture and analytics. Google’s sister-company Waymo has just completed a trial of autonomous taxis in California, where it transported more than Xk people.

It won’t just be cars, of course – trucking and shipping are becoming more autonomous, and breakthroughs in this space are likely to continue to hit the headlines throughout 2020.

With the maturing of autonomous driving technology, we will also increasingly hear about the measures that will be taken by regulators, legislators, and authorities. Changes to laws, existing infrastructure, and social attitudes are all likely to be required before autonomous driving becomes a practical reality for most of us. During 2020, it’s likely we will start to see the debate around autonomous driving spread outside of the tech world, as more and more people come round to the idea that the question is not “if,” but “when,” it will become a reality.

Personalized and predictive medicine

Technology is currently transforming healthcare at an unprecedented rate. Our ability to capture data from wearable devices such as smartwatches will give us the ability to increasingly predict and treat health issues in people even before they experience any symptoms.

When it comes to treatment, we will see much more personalized approaches. This is also referred to as precision medicine which allows doctors to more precisely prescribe medicines and apply treatments, thanks to a data-driven understanding of how effective they are likely to be for a specific patient.

Although not a new idea, thanks to recent breakthroughs in technology, especially in the fields of genomics and AI, it is giving us a greater understanding of how different people’s bodies are better or worse equipped to fight off specific diseases, as well as how they are likely to react to different types of medication or treatment.

Throughout 2020 we will see new applications of predictive healthcare and the introduction of more personalized and effective treatments to ensure better outcomes for individual patients.

Computer Vision

In computer terms, “vision” involves systems that are able to identify items, places, objects or people from visual images – those collected by a camera or sensor. It’s this technology that allows your smartphone camera to recognize which part of the image it’s capturing is a face, and powers technology such as Google Image Search.

As we move through 2020, we’re going to see computer vision equipped tools and technology rolled out for an ever-increasing number of uses. It’s fundamental to the way autonomous cars will “see” and navigate their way around danger. Production lines will employ computer vision cameras to watch for defective products or equipment failures, and security cameras will be able to alert us to anything out of the ordinary, without requiring 24/7 monitoring.

Computer vision is also enabling face recognition, which we will hear a lot about in 2020. We have already seen how useful the technology is in controlling access to our smartphones in the case of Apple’s FaceID and how Dubai airport uses it to provide a smoother customer journey [add link]. However, as the use cases will grow in 2020, we will also have more debates about limiting the use of this technology because of its potential to erode privacy and enable ‘Big Brother’-like state control.

Extended Reality

Extended Reality (XR) is a catch-all term that covers several new and emerging technologies being used to create more immersive digital experiences. More specifically, it refers to virtual, augmented, and mixed reality. Virtual reality (VR) provides a fully digitally immersive experience where you enter a computer-generated world using headsets that blend out the real world. Augmented reality (AR) overlays digital objects onto the real world via smartphone screens or displays (think Snapchat filters). Mixed reality (MR) is an extension of AR, that means users can interact with digital objects placed in the real world (think playing a holographic piano that you have placed into your room via an AR headset).

These technologies have been around for a few years now but have largely been confined to the world of entertainment – with Oculus Rift and Vive headsets providing the current state-of-the-art in videogames, and smartphone features such as camera filters and Pokemon Go-style games providing the most visible examples of AR.

From 2020 expect all of that to change, as businesses get to grips with the wealth of exciting possibilities offered by both current forms of XR. Virtual and augmented reality will become increasingly prevalent for training and simulation, as well as offering new ways to interact with customers.

Blockchain Technology

Blockchain is a technology trend that I have covered extensively this year, and yet you’re still likely to get blank looks if you mention in non-tech-savvy company. 2020 could finally be the year when that changes, though. Blockchain is essentially a digital ledger used to record transactions but secured due to its encrypted and decentralized nature. During 2019 some commentators began to argue that the technology was over-hyped and perhaps not as useful as first thought. However, continued investment by the likes of FedEx, IBM, Walmart and Mastercard during 2019 is likely to start to show real-world results, and if they manage to prove its case, could quickly lead to an increase in adoption by smaller players.

And if things are going to plan, 2020 will also see the launch of Facebook’s own blockchain-based crypto currently Libra, which is going to create quite a stir.

If you would like to keep track of these technologies, simply follow me on YouTube, Twitter, LinkedIn, and Instagram, or head to my website for many more in-depth articles on these topics.

Follow me on Twitter or LinkedIn. Check out my website.

Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. Why don’t you connect with Bernard on Twitter (@bernardmarr), LinkedIn (https://uk.linkedin.com/in/bernardmarr) or instagram (bernard.marr)?

Source: The 7 Biggest Technology Trends In 2020 Everyone Must Get Ready For Now

138K subscribers
In this Intellipaat’s top 10 technologies to learn in 2019 video, you will learn all the trending technologies in the market in 2019. The end goal of this video is to educate you about the latest technologies to learn and all the top 10 trending technologies you can watch for in order to make a fantastic career in IT technologies in 2019. Do subscribe to Intellipaat channel to get regular updates on them: https://goo.gl/hhsGWb Intellipaat Online Training: https://goo.gl/LeiW5S AI & Deep Learning Training: https://goo.gl/amnqEK Blockchain Training: https://goo.gl/CgDPyu Cloud Computing Training: https://goo.gl/PY2nbX Big Data Hadoop Training: https://goo.gl/NJaDuf BI Tools Training: https://goo.gl/SbkRXT DevOps Training: https://goo.gl/zz15qn Salesforce Training: https://goo.gl/zN3tLj SAP HANA Training: https://goo.gl/x2Jiu7 Python Programming Training: https://goo.gl/8urtdD Oracle DBA Training: https://goo.gl/LhYLTS Are you interested to learn any of the trending technology 2019 mentioned in the video? Enroll in our Intellipaat courses & become a certified Professional (https://goo.gl/LeiW5S). All Intellipaat trainings are provided by Industry experts and is completely aligned with industry standards and certification bodies. If you’ve enjoyed this top technologies to learn video, Like us and Subscribe to our channel for more trending technologies of 2019 tutorials. Got any questions about the top technologies to learn in 2019? Ask us in the comment section below. —————————- Intellipaat Edge 1. 24*7 Life time Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Course ware 6. Life time free Course Upgrade #Top10TechnologiesToLearnIn2019 #TrendingTechnologies2019 #Top10ITTechnologiesIn2019 —————————— For more Information: Please write us to sales@intellipaat.com, or call us at: +91- 7847955955 Website: https://goo.gl/LeiW5S Facebook: https://www.facebook.com/intellipaato… LinkedIn: https://www.linkedin.com/in/intellipaat/ Twitter: https://twitter.com/Intellipaat

Advertisements

How Digital Transformation Is Revolutionizing Government

Infrastructure modernization has become critical for governments looking to serve citizens in the digital era. To provide services and programs that improve the lives of their constituents, local, state, and federal government agencies are undergoing digital transformations to take advantage of new technologies that enable them to harness the power of the cloud.

Yet while technology can help government become more effective, change of this magnitude doesn’t happen overnight. Based on myriad factors, different governments and government agencies are at various points in their digital transformations. Many will need to take a look at how they currently work and embrace technology that will help them scale their efforts and fulfill their commitments to constituents.

Here’s a look at how these digital transformations are enabling government agencies to reimagine how work gets done and redefine how they serve their citizens.

Automation Saves Time, Spurs Innovation

Government bureaucracy is known for the inordinate amount of paperwork required for the operation of any given department or agency. Workers spend time on meetings, paperwork, email, and data collection and reporting that they could be using to work on future activities and programs and more effectively serve other goals as well, according to a survey by the Governing Exchange.

Thanks to automation, this is starting to change. According to a recent report from Deloitte Consulting, the past year has seen a shift from government agencies experimenting with automation to implementing it across the board — a shift that is saving government workers thousands of hours previously spent on processing data and data entry. Now, employees at agencies leveraging automation are able to spend time on more valuable, mission-critical work to further innovation and better serve constituents.

As government entities rethink how work gets done, some are turning to a work execution platform to track, automate, and manage their operations and processes from end to end. A work execution platform enables government workers to automate data collection and other processes and workflows to move work forward more effectively and efficiently.

Governments Collaborate to Serve Constituents

Digital transformation can also help facilitate collaboration between different government entities, improving programs and services to better the lives of citizens. Governments that are able to work together to quickly, effectively, and securely share the resources, budget, or information needed to solve big problems can better serve citizens and communities at many levels.

One example of intergovernmental collaboration is evidenced the Deloitte-NASCIO Cybersecurity Study, which looks at how state chief information security officers can succeed in overcoming the top challenges of implementing effective cybersecurity programs. In order to meet critical security controls that protect privacy around healthcare data, state Health and Human Services (HHS) agencies worked with the federal Centers for Medicare and Medicaid Services (CMS) to successfully secure funding in order to put in place the recommended Minimum Acceptable Risk Safeguards (MARS) for systems that interact with Medicare and Medicaid data. This additional funding provided state HHS agencies with the resources needed (in addition to their state IT budgets) to further their digital transformations.

A common platform that serves as a single source of truth for an organization can help facilitate collaboration and reduce friction. Smartsheet Gov is the only work execution platform in the FedRAMP marketplace. It offers fast user adoption and seamless, secure sharing that helps organizations to easily collaborate and break down silos across departments and agencies — or even between federal and local government — to drive the best results for citizens. Through the use of data collection forms, Smartsheet Gov also enables agencies to quickly capture information across departments and regions, so they can analyze and act on the latest information.

Smart Cities Serve Tech-Savvy Citizens

In addition to digital platforms, governments are exploring and embracing the internet of things (IoT) and other innovative technologies as it applies to communities. Smart cities create a digitally connected environment to help governments better serve citizens.

Features of smart cities might include “smart meters” that enable public utilities to help citizens save energy or conserve water, and road sensors that track traffic patterns to support infrastructure development. This type of innovation can help local governments reduce spending and improve efficiency.

More comprehensive initiatives are in the works as well. For example, the Greater Phoenix Smart Region, seeks to bridge the gap between innovative technology and the needs of communities and policy makers through a partnership between the public sector, educational institutions, and government entities to create, advance, and adopt smart city technology “that improves the quality of life for all citizens.”

To plan for these complex initiatives that bridge the public and private sectors, as well as academia, a work execution platform can help drive the effective collaboration and transparency needed to manage innovative approaches to governance.

Learn more about how Smartsheet is powering digital transformation in government.

Smartsheet Contributor Smartsheet Contributor Brand Contributor

At a time when organizational speed and execution are critical to gaining a competitive edge, modern work — especially at scale —

Source: How Digital Transformation Is Revolutionizing Government

Delivering A Great Digital Experience? Prove It – Bridget Bisnette

1.jpg

Imagine that you can provide your customers with visibility and actionable insights on how “users”—be it customers or employees—are consuming applications, what their digital experience is while using them, and more importantly quantify how those experiences directly impact revenue, productivity, costs, and other business KPIs.For those of you not currently in the business of providing Digital Experience Management (DEM) services to your customers, imagine the impact to your business. How could doing so, expand your customer relationships outside of IT operations, while creating a new revenue stream for your business……………….

 

 

 

Donate us if you like

How To Improve Your Digital Journey With The Right Partners – Derek Klobucher

Compared to a classic IT solution, [partnership] enables you to go much further along the way in a short period of time,” Carlo Schots, from The Netherlands-based IT service provider Ordina, stated in a video shown at SAP Leonardo Now last month. “Together they enable you to innovate digitally.” Ordina partnered with SAP to help Brussels-based telecom Proximus expand its fiberoptic network, shipping materials from a central warehouse to contractors and subcontractors spread across the country. Proximus used some of SAP Leonardo’s intelligent technologies to…….

Read more: https://www.forbes.com/sites/sap/2018/09/21/how-to-improve-your-digital-journey-with-the-right-partners-video/#1cd590056567

 

 

Your kindly Donations would be so effective in order to fulfill our future research and endeavors – Thank you

 

Are eBooks Dying or Thriving? The Answer Is Yes

1.jpg

It is a heartwarming story: In spite of the endless onslaught of digital content, American readers have collectively put down their screens and decided to embrace once more that beloved tactile rectangular prism that reminds us, with its weight at the bottom of our bags, of its immeasurable heft. Since 2015, major news outlets, including this one, have reported the triumphant return of print: that “real” books are back, and ebooks have lost their gleam.

Of course, it’s not entirely true. Yes, ebooks are doing just fine: Americans consume hundreds of millions of them a year. But many of their authors are writing and publishing books, and finding massive audiences, without being actively tracked by the publishing industry. In fact, the company through which they publish and distribute their books, a tech behemoth disguised as a benevolent, content-agnostic retailer, is the only entity with any real idea of what’s going on in publishing as a whole.

Amazon’s power over self-publishing, a shadow industry running outside the traditional publishing houses and imprints, is insidiously invisible. As a result, the publishing industry has a data problem, and it doesn’t look like Amazon will be loosening its grip any time soon.

A wave rises

They don’t often get nominated for huge book prizes, noticed by the New York Times book review, or endorsed by the president. But over the past seven years, self-published books—predominantly sold as ebooks–have offered a rare avenue through which writers can make a living just from writing, as opposed to speaking, teaching, and/or consulting. By cutting out publishers, writers sidestep print and distribution costs, increase their revenue, and are beholden to readers and algorithms, not critics, editors, marketers, or sales people. A decent writer with a flair for self-promotion, or a decent entrepreneur with writing chops, can earn serious cash.

Amazon launched its Kindle Direct Publishing platform in 2011, and by 2012, it had its first breakouts in the mainstream. Hugh Howey, author of Wool, and Andy Weir, author of The Martian, were early success stories. But so were dozens of people you’ve potentially never heard of: H.M. Ward, Rachel Abbott, Bella Andre, all getting paychecks that left authors in the rest of the rest of the industry salivating.

Amazon launched its Kindle Direct Publishing platform in 2011, and by 2012, it had its first breakouts in the mainstream. Hugh Howey, author of Wool, and Andy Weir, author of The Martian, were early success stories. But so were dozens of people you’ve potentially never heard of: H.M. Ward, Rachel Abbott, Bella Andre, all getting paychecks that left authors in the rest of the industry salivating.

Self-publishing has since exploded, particularly in romance, fantasy, and science fiction. Though an average is impossible to estimate, top-selling authors can sell hundreds of thousands of self-published books on Amazon, which, with revenue of $2 per book, can generate millions of dollars. For the past few years, mega-selling romance writer H.M. Ward has been making a seven-figure salary across self-publishing platforms, more than half of which came through Amazon. At one point, she cracked double-digit millions in sales. According to one estimate, last year 2,500 self-published authors made at least $50,000 in book sales across self-publishing platforms, before the platforms’ cuts.

Self-published authors price their books lower than traditionally published ebooks, but authors can make up to 70% in royalties from Amazon; that’s double, even triple, the royalties they could make with a publisher. Even though an author could get a big advance from a traditional publisher, advance amounts vary widely—and this assumes she can get a book deal at all.

More data, more problems

We’re not just talking about a few women reading erotica on their phones during their lunch breaks; by most accounts, self-publishing is massive. But only Amazon knows its true scale.

The information asymmetry between Amazon and the rest of the book industry—publishers, brick-and-mortar stores, industry analysts, aspiring writers—means that only the Seattle company has deeply detailed information, down to the page, on what people want to read. So an industry that’s never been particularly data-savvy increasingly works in the dark: Authors lose negotiating power, and publishers lose the ability to compete on pricing or even, on a basic level, to understand what’s selling.

When it comes to print books, NPD Book’s BookScan is the industry standard. The group collects data from point-of-sale purchases, an estimated 85% of the US print trade market, and from retailers including Amazon, Barnes & Noble, Walmart, Costco, and independent bookstores.

But ebook sales are anybody’s guess. Amazon doesn’t report its ebook sales to any of the major industry data sources, and it doesn’t give authors more than their own personal slice of data. A spokesperson from Amazon writes by email that “hundreds of thousands of authors self-publish their books today with Kindle Direct Publishing,” but declined to provide a number, or any sales data.

NPD tracks digital books in a way that’s crucially different from print—via publishers, not retailers. But since hundreds of thousands of authors are behaving as individual publishers on Amazon without being tracked, any picture painted by the group has a gaping hole in it. “NPD PubTrack Digital tracks ebook sales but because it is a publisher data-share model, the data does not include self-published ebooks,” writes NPD’s Allison Risbridger by email. “Therefore we cannot comment on the size of the self-published ebooks market.”

Bowker, which issues ISBNs, the unique number you see above the barcode on a book, says 786,935 self-published titles came out in 2016. But there’s no way to know how close that is to the actual number of self-published books, because ISBNs are both optional and expensive, so individual authors often forego them. “The total size of the market is unclear,” writes Nicola Bacon, public relations manager for ProQuest, which owns Bowker. “Our data is meant to be directional—one of the few sources that can be compared year over year.”

“Honestly, Bowker’s numbers are completely useless,” says David Gaughran, a self-published author of historical fiction who blogs about the business of getting published on your own. “They’re worse than useless, because they’re taken as reliable, and they’re not.”

Nobody—industry experts, authors, publishers—can gauge the true size of the self-publishing market. So no one can say for sure what’s going on in the larger book industry.

Message-board mobilization

Short of any resource for good data, authors have self-organized and tried to fill in that gap to better understand the market. They band together on message boards to share their sales data and try to extrapolate a clearer picture of how many sales are needed to hit a certain ranking on Amazon.

In 2014, a self-published author started the blog Author Earnings anonymously to scrape Amazon’s bestseller page. Until recently, it was the best resource for sales data from self-publishing. In January, the team behind Author Earnings soft-launched Bookstat, a paid service that tracks online book retail in real time. Bookstat extrapolates sales data from book rankings and sales history, provided by authors, and estimates sales per author and book throughout the day, with a self-reported margin of error of 5%.

Bookstat estimates that in 2017, there were half a million self-published authors who sold at least one book, and a total of 240 million self-published ebook units sold. Both figures went undetected by the traditional reporting organizations. But as the founder, who still asks to remain anonymous, notes, “There’s really no way to wrap your arms around how many authors there are, including the ones who are not selling, including the ones who are out of print on the traditional publishing side.” By his estimate, self-published books in the US were worth $875 million last year, about $700 million of which was ebooks.

Combine last year’s NPD BookScan numbers (that is, 85% of US trade print sales) and what Bookstat strings together of self-published book sales, and you have a very rough picture of the difference between what is generally reported in sales figures and what’s missing (not including a grab-bag of uncategorizable sales or books from Amazon’s own imprints):

A new landscape with a bad map

Without good data, there’s no complete picture of the industry. News stories say digital fatigue is sounding the death knell of ebooks, as readers across the country devour $700 million dollars of untracked digital files. Publishers are less able to see what’s selling in certain commercial genres, and less able to take risks on debut authors. Bookstore attendance becomes lopsided, and a large swath of American readers get algorithm-driven book creation. As authors move to self-publishing, the creativity pool becomes bifurcated.

“I think it hurts everyone,” says publishing consultant Jane Friedman. “Because everyone gets to put forward the narrative they would personally like to believe in.” Publishers believe ebooks were a failed experiment, bookstore owners can cheer the triumph of their raison d’être, print lovers get to gloat that screens will never kill the old-school ways. Self-published authors can keep making money, and trying to light lamps to cut through the data darkness.

And Amazon can keep doing what it does best, without any transparency to the public, readers, or the rest of the industry. Using its highly attuned proprietary data, it builds a bigger, more pervasive product with every turn of the page: the machine that knows readers.

May 13, 2018

 

%d bloggers like this:
Skip to toolbar