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Marketplace Is Nice For Your Products!



What is Marketplace?
Actually, it is an E-Commerce. All right, Let’s start with E-Commerce — an exclusive website for selling items.  And Marketplace is like TaobaoLazada.com.my.  You will process money transactions on the website.

What different between Marketplace and Classified Site?

It’s a big difference from Classified, such as Mudah.my, Craiglist where don’t have money transactions . Its function is post advertise, such as Mudah. So, if your company has a new product,  besides promoting it on your website,  you can put it on Marketplace,  It's a good way to promote your product.
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7 Technology Trends IT Pros Need to Know for 2018

Gartner analysts gathered in Orlando last week to reveal their bets for the top strategic technology trends for 2018.
As 2017 draws to a close, IT leaders are thinking ahead to the technology trends that will impact their business over the next 12 months and beyond.
Gartner analysts gathered in Orlando last week to reveal their bets for the top strategic technology trends for 2018.
According to Gartner, a strategic technology trend is one with “substantive disruptive potential that is beginning to break out of an emerging state into broader impact and use, or which are rapidly growing trends with a high degree of volatility reaching tipping points over the next five years.”
Here are 7 strategic technology trends for 2018, relevant to IT pros, and what can be done now to prepare:
1. AI Foundation
Gartner expects that creating systems that learn and act autonomously will be a “major battleground” for technology vendors through 2020.
Action Item: Invest in skills, processes and tools to build AI-enhanced systems; these include data preparation, integration, and algorithm and training methodology selection; model creation
2. Intelligent Apps and Analytics
Apps and services will continue to incorporate some level of AI. According to Gartner, intelligent apps create a “new intelligent intermediary layer between people and systems and have the potential to transform the nature of work and the structure of the workplace.”
Action Item: Think about how AI can add business value to software and services, improving user experiences
3. Digital Twin
Digital twins, in the context of IoT projects, is a promising area over the next three to five years, Gartner says. Digital twins of assets have the “potential to significantly improve enterprise decision-making.”
Action Item: Consider a strategy for digital twins; over time, improve their ability to collect and visualize the right data, apply right analytics, and respond effectively to business objectives
4. Cloud to the Edge
Edge computing places content collection and delivery closer to the sources of this information, cutting down on latency.
Action Item: Begin using edge design patterns in infrastructure architectures
5. Conversational Platforms
While conversational platforms have reached a tipping point around their understanding of language and basic user intent, they still fall short, Gartner says.
Over the next few years, conversational interfaces will be delivered in dedicated hardware, core OS features, platforms and applications, according to Gartner.
Action Item: Select conversational platforms that have robust conversational models and APIs to help deliver complex outcomes
6. Event Driven
According to Gartner, business events are anything that is “noted digitally, reflecting the discovery of notable states or state changes, for example, completion of a purchase order, or an aircraft landing.”
Event brokers, IoT, cloud computing, blockchain, in-memory data management and AI all help business events be detected faster and analyzed in greater detail, Gartner says.
“Event thinking is a key component of digital-business-native organizations. A well-functioning digital business is always in an ecosystem, always sensing and always ready to respond -- so it must be well-grounded in event processing,” Gartner says.
Action Item: Consider what cultural and leadership changes are necessary along with technology to embrace event-thinking
7. Continuous Adaptive Risk and Trust
Continuous adaptive risk and trust assessment (CARTA) approaches allow for real-time decision making, and strike down barriers between security teams and application teams, according to Gartner.
Action Item: Integrate security testing at multiple points into DevOps workflows (DevSecOps)
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Best 5 Latest Information Technology Trends in 2018


Best 5 Latest Information Technology Trends in 2018

Best 5 Latest Information Technology Trends in 2018
Technologies along with industries and markets have scaled new heights in the year 2017. Whether it was smartphones, data security or artificial intelligence there was considerable advancement and progress in the field of technology. But this is not all as these can be a turning point for bigger things to come.
Although it is difficult to make future predictions, certain indicators in the last year can help to provide a glimpse of what 2018 holds for us. Below we have made top five tech trend predictions that will certainly change the way of the world.

Tech No 1: Machine Learning & Artificial Intelligence

In 2017 Artificial Intelligence and Machine Learning have seen considerable advancement by making deep-rooted progress in most sectors. Seeing this trend of data algorithms and data explosion along with easy access to ML tools will all change our lives and also the way we interact with other people and objects. AI will show its presence in new startups and new tech companies from driverless cars to AI chatbots in the present year.

Tech No 2: Internet of Things(IoT) & Blockchain Revolution

2018 will witness an increase in the use of mobile devices to manage smart gadgets and interconnected devices like smart doors, smart locks and smart cars with your smartphones. The data explosion that automatically comes with IoT will make 5G imperative for mobile service providers.
Blockchains that grew in popularity last year will be the center of focal attention in 2018. Though Cryptocurrency is backed by decentralized digital leaders, predictions are that their real value will be visible in other areas besides the growth of digital currency. Moreover, the blockchain influence will expand and transform the Internet of Things with a reduction in the risk of hacking as the data will be stored across a chain of millions of computers.

Tech No 3: Quantum Computing

Although computers have become faster and more efficient progress in the silicon technology sphere has slowed down. The next step according to scientific studies is Quantum computers that will bring about a new wave in computer technology promising a revolution in the world. In comparison to conventional computing methods which depend on brute force and bits to find an answer to problems, Quantum computers use qubits that allows them to find a solution directly without having to beat around the bush with possible negative answers.

Tech No 4: Foldable SmartPhones

While 2017 saw bezel-less displays, 2018 will see a great innovation in mobile devices with foldable smartphones. Such phones with foldable displays will allow designers and scientists to make innovations beyond imagination. Smartphones will become compact and more portable if they are folded. There are already rumors of Samsung launching one such foldable device this year.

Tech No 5: Augmented Reality

With tech giants like Facebook, Google and Apple embracing Augmented Reality we are all awaiting the first AR apps in the present year. Experts are expecting their efforts to start paying for Augmented Reality finally becoming very big. Everything from smartphones and laptops to gaming consoles and medicine will see this technology to play a big pivotal role.
The year 2018 seems a promising year as far as digital transformation is concerned to be it AI, IoT, Blockchain revolution, AR or Quantum Computers. Companies will certainly adopt such innovative technologies to be part of this globally competitive world.

Best 5 Latest Information Technology Trends in 2018

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Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech


Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech

LOS ALAMITOS, Calif.Dec. 14, 2017 /PRNewswire/ -- Tech experts at the IEEE Computer Society (IEEE-CS) annually predict the "Future of Tech" and have revealed what they believe will be the biggest trends in technology for 2018. The forecast by the world's premier organization of computing professionals is among its most anticipated announcements.
"The Computer Society's predictions, based on a deep-dive analysis by a team of leading technology experts, identify top-trending technologies that hold extensive disruptive potential for 2018," said Jean-Luc Gaudiot, IEEE Computer Society President. "The vast computing community depends on the Computer Society as the provider for relevant technology news and information, and our predictions directly align with our commitment to keeping our community well-informed and prepared for the changing technological landscape of the future."
Dejan Milojicic, Hewlett Packard Enterprise Distinguished Technologist and IEEE Computer Society past president, said, "The following year we will witness some of the most intriguing dilemmas in the future of technology. Will deep learning and AI indeed expand deployment domains or remain within the realms of neural networks? Will cryptocurrency technologies keep their extraordinary evolution or experience a bubble burst? Will new computing and memory technologies finally disrupt the extended life of Moore's law? We've made our bets on our 2018 predictions."
The top 10 technology trends predicted to reach adoption in 2018 are:
  1. Deep learning (DL)Machine learning (ML) and more specifically DL are already on the cusp of revolution. They are widely adopted in datacenters (Amazon making graphical processing units [GPUs] available for DL, Google running DL on tensor processing units [TPUs], Microsoft using field programmable gate arrays [FPGAs], etc.), and DL is being explored at the edge of the network to reduce the amount of data propagated back to datacenters. Applications such as image, video, and audio recognition are already being deployed for a variety of verticals. DL heavily depends on accelerators (see #9 below) and is used for a variety of assistive functions (#s 6, 7, and 10). 
  2. Digital currenciesBitcoin, Ethereum, and newcomers Litecoin, Dash, and Ripple have become commonly traded currencies. They will continue to become a more widely adopted means of trading. This will trigger improved cybersecurity (see #10) because the stakes will be ever higher as their values rise. In addition, digital currencies will continue to enable and be enabled by other technologies, such as storage (see #3), cloud computing (see B in the list of already adopted technologies), the Internet of Things (IoT), edge computing, and more.
  3. Blockchain. The use of Bitcoin and the revitalization of peer-to-peer computing have been essential for the adoption of blockchain technology in a broader sense. We predict increased expansion of companies delivering blockchain products and even IT heavyweights entering the market and consolidating the products. 
  4. Industrial IoT. Empowered by DL at the edge, industrial IoT continues to be the most widely adopted use case for edge computing. It is driven by real needs and requirements. We anticipate that it will continue to be adopted with a broader set of technical offerings enabled by DL, as well as other uses of IoT (see C and E). 
  5. Robotics. Even though robotics research has been performed for many decades, robotics adoption has not flourished. However, the past few years have seen increased market availability of consumer robots, as well as more sophisticated military and industrial robots. We predict that this will trigger wider adoption of robotics in the medical space for caregiving and other healthcare uses. Combined with DL (#1) and AI (#10), robotics will further advance in 2018. Robotics will also motivate further evolution of ethics (see #8).
  6. Assisted transportation. While the promise of fully autonomous vehicles has slowed down due to numerous obstacles, a limited use of automated assistance has continued to grow, such as parking assistance, video recognition, and alerts for leaving the lane or identifying sudden obstacles. We anticipate that vehicle assistance will develop further as automation and ML/DL are deployed in the automotive industry.
  7. Assisted reality and virtual reality (AR/VR)Gaming and AR/VR gadgets have grown in adoption in the past year. We anticipate that this trend will grow with modern user interfaces such as 3D projections and movement detection. This will allow for associating individuals with metadata that can be viewed subject to privacy configurations, which will continue to drive international policies for cybersecurity and privacy (see #10).
  8. Ethics, laws, and policies for privacy, security, and liability. With the increasing advancement of DL (#1), robotics (#5), technological assistance (#s 6 and 7), and applications of AI (#10), technology has moved beyond society's ability to control it easily. Mandatory guidance has already been deeply analyzed and rolled out in various aspects of design (see the IEEE standards association document), and it is further being applied to autonomous and intelligent systems and in cybersecurity. But adoption of ethical considerations will speed up in many vertical industries and horizontal technologies.
  9. Accelerators and 3D. With the end of power scaling and Moore's law and the shift to 3D, accelerators are emerging as a way to continue improving hardware performance and energy efficiency and to reduce costs. There are a number of existing technologies (FPGAs and ASICs) and new ones (such as memristor-based DPE) that hold a lot of promise for accelerating application domains (such as matrix multiplication for the use of DL algorithms). We predict wider diversity and broader applicability of accelerators, leading to more widespread use in 2018.
  10. Cybersecurity and AI. Cybersecurity is becoming essential to everyday life and business, yet it is increasingly hard to manage. Exploits have become extremely sophisticated and it is hard for IT to keep up. Pure automation no longer suffices and AI is required to enhance data analytics and automated scripts. It is expected that humans will still be in the loop of taking actions; hence, the relationship to ethics (#8). But AI itself is not immune to cyberattacks. We will need to make AI/DL techniques more robust in the presence of adversarial traffic in any application area.
Existing Technologies: We did not include the following technologies in our top 10 list as we assume that they have already experienced broad adoption:
A.      Data science
B.      "Cloudification"
C.      Smart cities
D.      Sustainability
E.       IoT/edge computing
IEEE-CS technical contributors include Erik DeBenedictis, Sandia National Laboratories; Fred Douglis, systems researcher and member of IEEE-CS Board of Governors; David Ebert, professor, Purdue University; Paolo Faraboschi, Hewlett Packard Enterprise Fellow; Eitan Frachtenberg, data scientist; Phil Laplante, professor, Penn State University; and Dejan Milojicic, Hewlett Packard Enterprise Distinguished Technologist and IEEE Computer Society past president.  The technical contributors for this document are available for interview.
At the end of 2018, we will review the predictions and determine how closely they match up to technology's reality. Check back in December 2018 as we grade our latest predictions.
For past predictions, see news release for 2017 technology predictions and grades.
About IEEE Computer SocietyIEEE Computer Society, the computing industry's unmatched source for technology information and career development, offers a comprehensive array of industry-recognized products, services and professional opportunities.  Known as the community for technology leaders, IEEE Computer Society's vast resources include membership, publications, a renowned digital library, training programs, conferences, and top-trending technology events. Visitwww.computer.org for more information on all products and services.

SOURCE IEEE Computer Society

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The Top 7 Technology Trends for 2018

The Top 7 Technology Trends for 2018

The Top 7 Technology Trends for 2018





















It is that time of the year again and 2017 is over before we knew it. The Year of Intelligencebrought us a lot of progress and change; from over-hyped ICO’s to algorithms that created secret languages. As every year since 2012, I provide you with seven of the most important technology trends for 2018 to help you, and your business, prepare for the next year.
One thing that we can state is that we are on our way to enter the 4th Industrial Revolution. Many of the technologies that have been promised for decades are constantly improving and are now reaching a point of maturity. Once that happens, it will radically change our societies, how we work and how we live. However, we are not there yet.
Although technological developments are accelerating, they have not yet reached the state of full maturity and adoption to cause a paradigm shift in our societies. Nevertheless, it is safe to say we have left behind the Information Revolution of the 1970s, which we have known for so long. Today, information technology is capable of so many great things. However, we are not yet ready to fully enter the 4th Industrial Revolution. That is why I would like to call 2018 the Year of Transition. Let’s have a look at the seven technology trends that will dominate 2018:

1. Artificial Intelligence Will Take a Leap Forward, without Human Data

The Top 7 Technology Trends for 2018 - Artificial Intelligence
Image: Jackie Niam/Shutterstock
2017 was the year that AlphaGo Zero taught itself the game of Go and within 40 days became better than any human or artificial player ever existed. It did so without any human data as input and purely played against itself. As a result, it taught itself strategies and moves no human has ever thought of and arguably progressed the evolution of the game of Go exponentially in a very short timeframe. This achievement marks a significant milestone in the development of artificial intelligence.
In 2018, this will only continue and we will see more examples of artificial intelligence that will behave in unexpected ways, as it already did so this year. In 2017, for example, AI developers from Google built algorithms that had to compete for scarce resources, resulting in increasingly advanced strategies to beat the component. Google Brain developed algorithms that created new encryption methods, unlike any seen before, to protect information from other neural networks. Finally, Facebook had to shut down two algorithms that created its own secret language, unsolicited and used advanced strategies to get what it wanted. If one thing becomes clear from these developments, it is that artificial intelligence will be fundamentally different to human intelligence.
With the AI arms race in full swing, governments and organisations are increasing their investments in the development of ever more intelligent AI. In September 2017, Putin said that “whoever becomes the leader in this sphere will become the ruler of the world”, signalling that Russia will intensify its AI activities. On the other side of the world, China aims to outsmart the USA in AI, with Europe unfortunately nowhere to be seen. The AI arms race seriously scares well-known entrepreneurs such as Elon Musk and Stephen Hawking and a solution for the existential threat of AI is still far away.
The combination of an AI arms race and developments where artificial intelligence can be trained without human data will likely result in massive steps forward in 2018. As AI becomes smarter, more money will flow into it. However, ordinary organisations, as well as small and medium enterprises, are likely to miss out, as the power of AI will consolidate among just a few players and countries.

2. Blockchain Will Mature and the ICO Hype Will Slow Down due to Regulation

The Top 7 Technology Trends for 2018 - BlockchainImage: LuckyStep/Shutterstock
Last year, I predicted that 2017 would see smart contracts taking off. And so they did, although not in the area that I originally expected. Last year, smart contracts were predominantly used for Initial Coin Offerings (ICOs). The hype around ICOs has amazed many and as of the end of November, 228 ICOs raised a total of $3.6 billion. Apart from many successes, there were also many scams and people who tried to game the system and rob people of their money.
Although the number of ICOs will continue to grow in the first months of 2018, we will also see more regulation. Slowly, governments and regulators will wake up and start to understand the impact this new way of funding has on innovation and economic growth. However, they also understand that consumers need to be protected and criminals need to be caught. Hence, there will be increased regulation in the coming year, slowing down the enormous hype of ICOs. We will see better organised ICOs, still raising millions of dollars, and the first example of these new ICOs was the Kik ICO, raising $97 million with an ICO that will pave the way for moremainstream ICOs.
Apart from more mainstream ICOs, 2018 will also see the first true blockchain applications that will be used by consumers and organisations, where those using the services not necessarily know that they use blockchain technology. After all, for Blockchain to become mainstream, it has to become as pervasive as the internet. Consumers do not know how Amazon or Facebook works, but they are more than happy to use it. That is what is required for Blockchain technology, or distributed ledger technology, to have a real impact on organisations and society.
2018 will see more applications being developed and launched, of which many of these by the companies that did do an ICO in 2017. It will move Blockchain towards maturity. Earlier, I discussed seven cryptocurrencies that are worth following and forecasted the end of Bitcoin, as it is technically flawed (despite the ridiculous price increase in the past weeks, which reminds me of tulip mania in the 17th century). All in all, 2018 will be a very interesting year in terms of Blockchain.

3. Our Privacy Continues to Be Threatened, but a Solution is Coming

The Top 7 Technology Trends for 2018 - privacyImage: Maksim Kabakou/Shutterstock
All those new technologies, platforms and services gobble up massive amounts of data and more often than not, this data is not very well protected. For the past years, we have seen thousands of data breaches, with, in 2017, the data breach of Equifax as a new low point. Unfortunately, 2018 will not be any different. The more devices we will connect to the internet, the more data we create, the more security breaches we will see. IoT devices are remarkably insecure, thereby continuing to threaten our privacy. Consumers are aware of this as 90% of consumers lack the confidence that their IoT devices are secure.
As long as organisations that develop internet connected devices do not take security seriously, and develop products such as cardiac devices that can be hacked or CCTV cameras with serious bugs, this trend will only get worse. However, not only IoT devices are prone to hacks, but also large organisations such as Uber or Verizon were hacked in 2017. Even Apple’s latest security feature, Face ID has already been easily bypassed several times. We have reached a point in time where any organisation can and will be hacked and if you are not hacked, you are simply not important enough.
Fortunately, there is a bit of light at the end of the tunnel. With the hype around blockchain, startups are also working on a new technology called Zero Knowledge Proof (ZKP). Zero Knowledge Proof is a method used in cryptography to prove ownership of a specific piece of knowledge without revealing the content of that knowledge. Zero Knowledge Proof enables trustless transactions that safeguard users’ privacy using mathematics. As such, ZKP improves verification processes to such an extent that one party can prove to another party that a given statement is true, without revealing any information about that statement. 2018 will see continued development of Zero-Knowledge Proof, making our society slowly a little bit more private again.

4. A New Approach to Data Ownership is on the Horizon

The Top 7 Technology Trends for 2018 - data ownershipImage: FuzzBones/Shutterstock
Fortunately, there is more good news with another new technology slowly making its entry. Thanks to distributed ledger technology, we will see a new approach to data ownership, giving control back to the original creator of content or data, instead of the platform where it was created. Not only will this empower consumers to take back control and monetise their data, but it will also enable organisations to share proprietary data with competitors and industry partners without being afraid of theft or loss of a competitive advantage.
2018 will see the General Data Protection Regulation (GDPR) become enforced, changing the way how companies should protect data of European citizens. This new regulation will have a big effect on organisations, but in 2018 we will also see the launch and further development of platforms that go even further and enable secure and private data sharing. It can best be compared to each piece of data having its own vault with its own rules linked to it, governed by smart contracts. Any transaction involved with every piece of data can be tracked and monitored and the data owner can benefit in real-time.
One solution currently in the works is the Fujitsu Data Exchange Network. This platform will enable organisations to share proprietary data with competitors, without having to be concerned about revealing confidential information. Another platform revealed recently is theIOTA Data Marketplace. This data marketplace is focused on Internet of Things devices and sensors. Applications or organisations can select a sensor across the globe, make a micropayment to the owner of the sensor and get direct access to the data stream of that sensor, which can be used for data analytics or applications. A revolutionary marketplace, with already over 30 participants, including Microsoft, Fujitsu, Orange and Accenture.
Such renewed data ownership is enabled by the convergence of Big Data and Blockchain. However, it will require a different approach by organisations. Instead of having a large data lake with all consumer data stored centrally, in the future organisations will have to obtain (technical) consent of each customer to access their data vault and use the data for insights. This would involve more than approving a complicated terms & conditions and most likely requires some sort of payment. Several companies are working on new solutions and in 2018, we will see the first workable applications, requiring organisations to prepare for a new reality of data owned and controlled by consumers.

5. Edge Computing Enables Intelligent Networks

The Top 7 Technology Trends for 2018 - edge computingImage: Just Super/Shutterstock
Two years ago, I already discussed the upcoming trend of Edge Computing, then called Fog Computing. Edge computing is the key factor to make the Internet of Things work since connected devices will generate so much data that transmitting, storing and analysing all that data at a central location is no longer viable. Not only that, connected devices such as drones, self-driving cars or robots will, most likely, require extreme rapid processing. Creating the data, sending it to the cloud for analysis and returning the results to the device will simply take up too much time.
The predictions are that in the coming decade, we will add approximately 100 trillion sensors to our global economy, generating an unfathomable amount of data. The solution for all this data that requires rapid processing is doing edge computing; computations on the sensor itself, albeit at first this will be done on the device instead of on the sensor. Peter Levine, a general partner at venture capital firm Andreessen Horowitz, even believes that edge computing will slowly take over cloud computing. Although that might sound pretty crazy, it also seems very logical. Today, an average self-driving car produces approximately 1 Gigabyte of data per second, which will likely increase in the years to come. Having to send that data to the cloud, analyse it and return the results would simply not work.
Therefore, in 2018, we will see increased attention to edge computing to enable intelligent networks, where connected devices will perform the required analytics at location and use the results to perform a certain action. It will happen in a few milliseconds, instead of the few hundred milliseconds it takes today when using cloud computing. With self-driving cars that difference can be the difference between a crash or a safe ride home. The world’s cloud computing giants are not ignorant about the opportunities of edge computing. Microsoft has developed Azure IoT Edge and Amazon recently developed AWS Greengrass. In addition, startups such as Packet and Vapor IO are also bringing cloud computing to the edges. In 2018, edge computing will find its way to connected devices, before truly taking off in 2019.

6. A Quantum Computing Arms Race Will Lead to First Results

The Top 7 Technology Trends for 2018 - quantum computingImage: welcomia/Shutterstock
In this year’s hype cycle for emerging technologies, Gartner estimated that quantum computing is still more than ten years away. However, the developments in quantum computing are going a lot faster than expected. The race for the holy grail of computing is on and companies such as Google, D-Wave or IBM, universities such as Yale or UNSW or startups such as Rigetti Computing are all working on developing quantum computers. Each of these organisations has reported breakthroughs in 2017, with the latest being IBM who announcedthe first 50-qubit quantum processor in November 2017.
A 50-qubit quantum processor is getting closer to quantum supremacy, which IBM now estimates to be at around 57-qubits. Quantum supremacy is defined as the ability of quantum computing to solve problems which can no longer be solved with the world's fastest supercomputer. Not only organisations are working on achieving this quantum supremacy, but also countries are investing billions in it. China is building the world's biggest quantum research facility. Their objective is to have a quantum computer by 2020 that has the computational power of a million times all computers in the world combined.
With several organisations aiming to reach quantum supremacy before the end of this year, there is a real arms race going on. According to Vijay Pande, a partner at venture capital firm Andreessen Horowitz, quantum computing is moving out of the science domain and into the engineering phase. Therefore, 2018 will likely see several organisations reach quantum supremacy and focus on scaling up the technology to start working on some of the world’s biggest problems. 

7. Prescriptive Analytics Will Start to Deliver on its Promises

The Top 7 Technology Trends for 2018 - prescriptive analyticsImage: whiteMocca/Shutterstock
Finally, the rise of prescriptive analytics. The past few years, we saw the adoption of predictive analytics by many organisations and big data has become a prerequisite for organisations to remain competitive. The biggest corporates and also medium-sized enterprises started implementing predictive analytics solutions to improve their processes, customer experience and bottom-line. Although predictive analytics is a great technology, it is not sufficient in the data-driven world we live in. For that, we need prescriptive analytics.
Prescriptive analytics can be seen as the final stage in understanding a business. It offers recommendations on how to act upon predictions to take advantage of those predictions. It uses a variety of algorithms and data modelling techniques to have a thorough understanding of the environment and improves business performance. Prescriptive analytics leverages predictive analytics and descriptive analytics to derive ideal outcomes or to create solutions to solve your business problems. Prescriptive analytics is driving the future of Big Data.
In the past years, we have seen many organisations experiment with prescriptive analytics, but it has not reach full-scale adoption. That is changing in 2018. Already, 2017 saw a multitude of organisations developing prescriptive analytics applications, including General Electric,PopSugar (a lifestyle media company) or retailer DSW. The number of startups developing prescriptive analytics solutions is also growing and includes startups such as AIMMSAyata, and Profitect. In 2018, prescriptive analytics will start to deliver on its promises with the number of applications growing and more organisations benefiting from the final stage in big data analytics.

2018: The Year of Transition

The coming year will be a very exciting year. We truly live in exponential times and slowly we are climbing out of the curve of the hockey stick, meaning that technologies will start to improve exponentially. Artificial Intelligence will become smarter, this time thanks to the lack of human data. We will see the Blockchain market mature and ICOs will become increasingly regulated. Also in 2018, our privacy will be breached, but help is underway in the form of Zero Knowledge Proof. In addition, slowly consumers will get back ownership of the data they create and new marketplaces will enable sharing of proprietary data with competitors. Slowly, cloud computing will make way for edge computing and the arms race of quantum computing will result in quantum supremacy, years before initially anticipated. Finally, organisations will discover the possibilities of prescriptive analytics and thereby significantly improve their bottom line. All in all, it will be a very exciting year as we slowly move into the 4th Industrial Revolution.
What do you think of these seven technology trends for 2018? Anything you want to add? Please join the discussion in the comments below. If you want to download the presentation of the seven top technology trends for 2018, click here.
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New Technology We're Actually Excited About for 2018

New Technology We're Actually Excited About for 2018


Yes, 2017's biggest tech story was probably about the ways in which social media forced us to rehash old culture wars and question who was guiding our political discourse. Rather than seeing technology facilitate greater communication, economic opportunity, and leisure, it seemed that it was exacerbating our differences, concentrating wealth, and threatening all livelihoods. But there was some good stuff too!
For anyone who loves technology, it was kind of a downer. While we shouldn’t turn away from the challenges that the information age keeps springing on us, it’s understandable to long for a few things that just make you say, “that’s neat!” It’s easy to hope to see something that dazzles you or is so ambitious that in a decade it might just be incredible.
For me, there were a lot of things I saw this year that I thought fit that bill. Some of them, like the sudden mainstream fascination with blockchain, caused me to feel more dread than hope. But others either made me smile, grabbed my imagination, or just showed a ton of promise.
Image: Rylo

Computational photography

When I say computational photography, I’m using it to refer to the broad range of ways that engineers are working with software to improve digital cameras. Big high-end sensors and fine glass lenses aren’t in any danger of being replaced when it comes to getting the best shot possible, but software solutions are making new techniques possible, and constantly improving small affordable cameras.
Smartphones are getting thinner, but the images they can capture only get better. Software is one of the biggest reasons for that. Apple and Samsung are using software (and dual lenses) to create excellent depth of field effects on their phones, and even big deal directors like Steven Soderbergh and Michel Gondry decided to start shooting with the iPhone this year. Meanwhile, Google’s Pixel 2 camera got our recommendation for its superior HDR processing, and it also is integrating a ton of AI features into its camera software that will only get more useful. And Andy Rubin’s Essential Phonetook a lot of heat for its lackluster camera, but software updates have helped it improve over the past few months.
Newcomer Rylo took a shot at GoPro with its first device that combines an action cam and a 360 camera into a pocket-sized gadget with some serious software at an affordable price. It has some of the best image stabilization I’ve seen. And its intuitive editing software allows you to just shoot everything around you to make shot choices and choreograph smooth camera movements later.
Don’t get too excited: Software still has a long way to go before it can approximate the look of the highest-end cameras, and it might be a bit unfortunate to see professionals settling for something that’s just good enough.
GIF Source: Waymo

Self-driving cars

Talk about self-driving cars has been around so long that it’s almost mundane. No one seemed to care that Waymo officially abandoned test drivers behind the wheels of its self-driving cars in Arizona back in November. That’s a huge deal. Waymo is launching a self-driving taxi service in the suburbs of Phoenix. For real!
The promise of self-driving cars means more efficient commutes, more free time, fewer traffic accidents, big leaps in AI, and all sorts of other game-changing advancements.
As far as getting these things out to the public goes, Tesla insists that its auto-pilot feature that offers limited self-driving capabilities will be ready to drive itself from California to New York very soon. That means Tesla owners would already have a self-driving car because the company just to push out a software update.
Don’t get too excited: This is a scary economic shift. A lot of people are going to lose their jobs. That’s a big factor in the dampened excitement. Also, with all that extra free time in the commute, demanding bosses are just going to expect more productivity.
Photo: Alex Cranz/Gizmodo

Nintendo

Nintendo is good. We started the year with the gloomy death of the Wii U, an excellent console that never took off, and lots of talk about Nintendo’s shift to unimpressive mobile games. It’s hard to stress enough how much it seemed like the house that Mario built might go the way of Sega. Then the Switch happened.
The Switch did what Nintendo does best—it wasn’t too expensive, it offered a single gimmick, and it has some great games. It’s signature feature—going seamlessly from console play on the TV to mobile play—was useful and instantly made sense to millions of gamers. But what was most important is that software developers liked it. Ports of older games like Skyrim and Doomare actually fresh takes because they’re now mobile games that are almost as good as their counterparts on other consoles and PC. Indie developers are flooding the system with excellent games like Stardew Valley and SteamWorld Dig 2. And the games made by Nintendo, like Super Mario Odyssey and The Legend of Zelda: Breath of the Wild, exceeded the usual high-quality to be thebest reviewed of the year.
It hasn’t even been on the market for a year and the Switch has almost soldas many units as the Wii U. The SNES Classic beat out all the other consoles on the market in sales for two months straight. And the new 2DS XL kept its huge library of games going for the foreseeable future.
While the PS4 and Xbox One are fine systems, their new iterations a virtually identical. This year they put out 4K upgrades that are powerful but don’t inspire very much excitement. Nintendo is different and we need it to keep giving the others some competition and continue being weird.
Don’t get too excited: Fuck it, be excited. Nintendo is good.
Image: Magic Leap

Augmented Reality/Mixed Reality

Virtual reality hasn’t really taken off in 2017 the way some had hoped. It’s far from dead, and Oculus is hoping to turn more people on to VR with a standalone headset that costs $200 next year. Still, its isolation, lack of eye-tracking, and tendency to induce nausea, are big hurdles to clear. Mixed reality is so much more interesting in that it wants to incorporate virtual objects and experiences with the real world, solving a lot of VR’s problems and offering different possibilities. 2017 brought us further progress in the field.
In the most modest development, Apple went all in on augmented reality with its new iPhones and ARkit for developers. The iPhone’s capabilities with AR aren’t going to go much further than Pokemon Go-style overlays on real-world environments for a while, but Apple’s slowly adding sensors that will improve the phones capabilities and the most important part is that developers are putting together applications. For now, we can only expect to see some rudimentary redecorating apps and small but useful tools like the ARmeasuring tape. But remember, the first million or so iPhone apps were just fart simulators. There are also those reports that Apple is planning to drop its AR headset in 2019.
Microsoft has continued to quietly plug away with work on HoloLens, its mixed reality headset. Developers have had their hands on the early prototypes for quite some time, and they sporadically showed off cool demos that were inspired by Super MarioLemmings, and Portal. Microsoft also made some baby steps with a line of inexpensive but impressive VR headsets in partnership with other companies that simulate how mixed reality might work.
And finally, Magic Leap showed off its long-delayed mixed-reality headset and promised its coming to developers in 2018. It’s not as bulky as we feared and based on reports it appears that virtual objects will have a sense of permanence and presence we’ve never encountered before.
Mixed reality wants you to blow holes in the walls of your living room with a laser gun, have a pet cartoon dog that permanently roams around your house, build virtual sculptures on the coffee table, fill your surroundings with as many monitors as you can ask for, and allow you to walk down the street in the real world alongside avatars of people who are sitting in their living rooms.
Don’t get too excited: Mixed reality has a long way to go, so don’t expect to be walking down the street with the Iron Giant anytime soon. And let’s face it, the world promised in Ready Player One sounds pretty awful, so the longer we have to think about this the better.
Image: Adobe

Adobe

Adobe is the most exciting tech company that few people consider to be very exciting. Quick, try to name the CEO of Adobe. You can’t do it. But Adobe has changed our world dramatically. Without Photoshop, Twitter wouldn’t be half as interesting, and Premiere helped pioneer the consumer-level editing software that allows the idiot stars of YouTube to pound out two videos a day. Adobe’s products have also been used for good things that I can’t remember right now.
In 2017, Adobe showed off a lot of cool tweaks for its existing products and teased some new ones. It introduced a new version of Lightroom that’s beenwell-received, and finally killed Flash, for good. Premiere got some new “immersive video” features that will help out when you’re working with 360 video.
But, Adobe’s commitment to developing uses for artificial intelligence has been where the real potential for the future comes in. Little changes likepowering Lightroom’s auto settings with AI turned a not great feature into something that’s pretty useful. Photoshop is getting a “select subject” tool that promises to make tedious lassoing and masking obsolete when you’re cutting out the main subject of a photo. And the tool that’s most exciting to me is the new “Cloak” project. It promises to allow you to remove elements and subjects from a video.
And of course, we’re still waiting on that “VoCo” tool that was demoed at the end of last year. It’s like Photoshop for sound and is capable of making someone’s voice say anything. Yes, it’s terrifying, but it’s also pretty cool.
Don’t get too excited: Fake news is only going to get harder to identify. 
Hellblade. Screenshot: Ninja Theory

Motion capture

Yes, motion capture has been around for years, but it’s getting really good on multiple fronts. Hollywood has continued to advance mocap technology to capture subtle performances. This year’s finale of the Planet of the Apes trilogy was probably one of the best examples of the form yet, and it was fascinating to see that film’s movement choreographer, Terry Notary, perform his ape routine without CGI in the arthouse film The Square. Not to discount the work of the Apes’ CG animators, seeing Notary’s uncanny ape impersonation coming from a flesh and blood human actually gave me a greater impression of the subtleties that motion capture tech is picking up these days.
But the leaps that impressed me most this year in mocap were found in video games. CG cutscenes in video games are usually a chore. The story, acting, and stilted character movements usually bore the hell out of me. This year, you could see everything starting to come together in games like Uncharted 4, Wolfenstein II: The New Colossus, and standing above all the rest, Melina Juergens’ performance in Hellblade: Senua’s Sacrifice. I haven’t even finishedHellblade because it freaks me out so much. For that, the game’s designers and writers deserve plenty of credit, but it’s Juergens who really makes it sing. Ninja Team used a unique pre-visualization system that allowed them to view her full character model, and direct her performance in real time. It’s a marvel.
Things are only going to get better. Say what you will about James Cameron’sAvatar, it pioneered a lot of effects techniques that have spread through the industry. The three (!) sequels are reportedly utilizing a new mocap system that can capture actors underwater. By the time Cameron’s finished we’ll be seeing motion capture on steroids.
Don’t get too excited: “Princess Leia: a Star Wars Story starring Carrie Fischer.”
Photo: Alex Cranz/Gizmodo

Smartwatches as medical devices 

The Apple Watch might be the most boring thing that Apple has ever made, but the grand plan for it, and smartwatches, in general, isn’t boring at all. More than anything, these glorified messaging machines might save our lives one day.
2017 was the year that the Apple Watch got good, and it was also the year that the FDA approved the first medical device accessory. The Kardiaband is an add-on that can detect an abnormal heart rate. What’s more, a UCSF studyfound that Apple’s built-in heart monitor could detect an abnormal heart rate with 97 percent accuracy when an AI-based algorithm called DeepHeart was used in conjunction with the device. The same team behind that study laterfound that the Apple Watch-DeepHeart combo could detect sleep apnea with 90 percent accuracy, and hypertension with 82 percent accuracy. Both of those conditions are quite a chore to detect with the current methods.
It’s still early in the quest to make a smartwatch a magical medical wizard that brings a silver bullet to preventative medicine, but we’re getting there.
Don’t get too excited: Privacy issues abound, and we’re going to have to work them out before this technology matures, not after. 
Image: Fireaxis

Alien alloys

Guys, aliens. News cycles last about 12 hours these days, so we’ve all moved on from the New York Times breaking the news that the Pentagon has a kinda secret program to study possible UFOs. The author of the article, later on, spoke to MSNBC and expanded on a passage in his piece that mentioned “modified buildings in Las Vegas for the storage of metal alloys and other materials that … program contractors said had been recovered from unidentified aerial phenomena. Researchers also studied people who said they had experienced physical effects from encounters with the objects and examined them for any physiological changes.” He claims that the government hasn’t been able to figure out the origin of these alloys. That’s not to say they come from aliens, but they are some new tech.
It also turns out that the guitarist from Blink 182, Tom Delonge, founded an organization that’s that working on getting more classified information released—his partner in the organization is the guy who ran the Pentagon’s UFO program. Delonge recently told the New York Daily News that alien alloys are just the tip of the iceberg. He says that one government scientist has been working on what he calls “engineering the space-time metric.” “It’s like a time machine,” he said. “You get into this craft and you turn it on — boom! — you’re in China in one minute as a ball of light.”
There’s probably some sort of normal explanation here, but let me have this dammit.
Don’t get too excited: There’s never a guarantee that aliens come in peace, but I, for one, welcome our alien overlords.
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