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Machine learning is undoubtedly the biggest topic of discussion in the digital world right now.  In layman’s term we define machine learning as the computer programs which learn by itself (through experiences) instead of any hardcoded rules. This is one of the major advantage of ML over AI. As Machine Learning involves learning from various different experiences and then using those experiences to predict the possible/correct outcomes.

Example: Suppose we need to create an application that recognizes a flower name sunflower. For that we need to write huge amount of rules and code to identify/detect it, especially various features of the flower to detect. Here the problem is that if a flower is present with a different colour, size or shape we are not able to write the code beforehand (well in advance).Thus, we have to use machine learning to solve this issue.

To solve any Machine Learning Problem there are 4 steps that need to be followed:

Collect Data

Select Model

Train Model

Test the Model

Few examples of applications areas in Machine learning but not limited:

Giants like Google, Microsoft, Uber, Amazon, Facebook, Instagram, Apple constantly use such learning algorithms to gain valuable insights from data, recognize new trends and thus use them to increase their customer base as well as profits. The value of machine learning technology has been recognized by companies not only in technology sector but across several industries that deal with huge volumes of data.

Healthcare:

Machine learning is becoming the fastest growing trend in healthcare sector. Things are gone away when one needs to take any medical insurance simply by just medical test and some few documentation work. Time has come now, that if someone needs to buy insurance then he needs to wear a smartdevice (wrist band type) for around one month. That device will keep all the track records of your day to day activity like how many times or hours you are doing exercise, blood pressure, how many times your heart beats in one minute, how many times you are taking fast food, you are taking any medication or not and so on. Hence, it will provide the real-time patient information. Doctors and medical experts can use this information to analyze the health condition of an individual, draw a pattern from the patient history, and predict the occurrence of any ailments in the near future. Aloha Technology can help your enterprise for adapting Machine Learing

E-commerce/Social Media:

Top Companies like Amazon, facebook, flipcart are hopefully using machine learning technology to analyze & observe the purchase/order history of their customers and make personalized & relevant product recommendations for their next purchase/order. Like in facebook, it will give you friends suggestion (people you may know) and some pages which you might have liked or viewed earlier. Aloha Technology can help your E-Commerce website to adapt Machine learning.

Personal Assistant:

Personalized Web browsers, personalized movie-based recommendation system, Mood-based music players recommendation by providing lot of sample inputs and thorough experiences to train the model.

Intelligent Robots:

Lots of research have done in the field of robotics based on ML/DL algorithms and formed like IBM Watson, KIRIBO, Emotion based robot, Sophia, CHATBOTS (though Chatbots have been around for some time, they have evolved significantly. From command–based chatbots which could answer pre- defined limited set of questions and required manual help for complex ones to trian, to AI chatbots that became smarter with time through machine learning, chatbots have witnessed an impressive change), SIRI, CORTONA (Cloud-based virtual assistant), are the few names which have been made to do the things. As part of machine learning trends, personalization of search results by using AI-powered analytics is going to be the next big leap in business.

Financial Sector:

The quick and easy method of judging the products or services of a company within the least amount of time and with access to the least amount of resources is by simply glancing through the company’s website. We go through countless sites each day for work, to shop, in order to collect information or to simply seek entertainment. Websites are important cultural objects of this era and have almost become a norm for most businesses. Often times, companies start out with an attractive website which includes all sorts of features and calls to action but they miss out on sustaining their efforts over the website in the long term. Especially if a business is engaged in a venture to expand, introduce new products or services or seeking newer partners, an impressive website is a must. IT service providers like Aloha Technology provide all the necessary support to run and maintain a strong website.

For e-commerce players, their website is possibly the only platform for interfacing with their consumers. It is the prime point of contact between consumers and products and essentially the entire transaction from start to finish takes place over the website. For such online players, websites are very obviously the foundational factor in achieving profits. Hence, for online players particularly, strong websites are a pre-requisite.

Building a Progressive Website

An important aspect of a good website is that it remains relevant to the market and up-to-date with all new developments. This requires regular updations and maintenance. A progressive website is one that is regularly tweaked for the convenience of the users. It is agile and very easily customizable. It is open, clean and has the potential to be easily compliant with new technologies and innovations.

Accompanying mobile-app

For online businesses, especially e-commerce players, having a mobile application is highly essential. An application helps users have a customized experience. The application gives users the feeling of a personal marketplace and this helps gain consumer-loyalty. Moreover, ensuring that the website is compatible with mobile phone screens is also an essential step. Considering the fact that most people access a website through all sorts of platforms- tablets, phones, etc. it leaves a very bad impression if a website does not appear well on screens of different dimensions.

AI and Machine Learning

Technological innovations like artificial intelligence and machine learning have transformed the online experience for millions of users. With customized suggestions and chatbots, online players can establish a near-human touch to all commercial activities and transactions conducted online. With the help of machine learning, online players can gauge the preferences, moods and habits of their target audience and make the necessary changes to have maximum impact.

Social Media

Social media websites must not be separate entities on the process of website management. Instead, they must be valuable aids in strengthening the impact of your website. Ensuring that all of your company’s profiles are inter-linked and lead the consumers to the desired webpage is one of the most important practices. Marketing via social media can be highly beneficial and ensuring that all links lead consumers to the website is sacrosanct in your website building process.

There was a time when buying, selling, marketing, advertising and conducting other commercial transactions used to be physical practices. In the digital era of today, human involvement in either of these activities has been reduced to next to nil. All kinds of products and services are very easily sold and marketed online. Right from perishable goods to elaborate services, everything can be ordered, delivered, searched and tested remotely. This phenomenon was bound to shake things up in the market and pioneers like Amazon was successful in disrupting that particular market. However, many enterprises survived the onset of e-commerce and were, in fact, able to adapt very well to the changing demands of the customers. If this wasn’t a technological wonder, enter artificial intelligence, which further revolutionized e-commerce.

What initially felt like a miraculous feat, turned out to be a rather inevitable innovation in the field of automation. Artificial intelligence was very quickly incorporated into all of the systems whose functions that it could simplify. An idea, that a computer could make certain suggestions or decisions on the basis of evaluating scores and scores of data has a far-reaching impact on many processes, particularly in the business world. Practices and procedures across industries have been simplified, enhanced and made ‘smarter’ by introducing artificial intelligence in their functioning. In terms of e-commerce as well, artificial intelligence has led to many innovations that have benefitted the platforms greatly. IT support provided by Aloha Technology has made many companies equipped with the most advanced technological tools.

Chatbot Support

One of the most popular advantages of artificial intelligence has reflected in companies installing chatbots to communicate directly with their consumers. This has given companies the opportunity to connect with customers round-the-clock and give instantaneous responses. Chatbots have also made it possible to increase the rate of communication with each customer. While chatbots may yet not be successful in completely replacing a human representative, it has been equipped to deal with a number of issues that involve one or two-step procedures for resolution. This has increased interaction and improved customer relations to a massive extent.

Data-Driven Marketing

A significant wing of e-commerce websites is marketing and AI has propelled the rate at which the website can evaluate the preferences of a user. Applications have made it possible for consumers to have a purely customized experience. Moreover, artificially intelligent systems have the capability to make appropriate suggestions on the basis of the user’s previous activity online- something that it grasps from deep-learning models. AI in e-commerce has solved the issue of bringing the right product and the right person together. Digital advertising has had a massive impact on the reach, appeal and recall-value of brands. Since artificial intelligence makes insight-driven suggestions, the consumer experience of shopping online has completely transformed.

A Complete Website

Artificial intelligence is rooted in machine-learning. The system crawls through vast amounts of data in a very short time and brings relevant insights to the forefront. This helps business-leaders know their users and their audience in a much intimate way. A strong website is a key to embarking upon new relationships, be it with partners of customers. And this is especially true for e-commerce websites. By building a strong and more importantly a complete website, an e-commerce company will definitely achieve better results, more traffic and eventually more popularity. In order to enable this, it is important to leverage artificial intelligence in establishing a well-functioning website and Aloha Technology will help you to do this.

Special Assistance

This new year 2019 is adapting of technology advancement in each and every enterprise so it becomes crusial steps required for enterprises to take action for production and adapting the growth for enterprise. Artificial Intelligence is the main thing because of which you enterprise needs to approach towards it. Of course implementing AI will take multiple challenges of its own but obstacle gets addressed and find the way thorough which you can get the success. According to experts, these main obstacles are perception and data. Addressing these obstacles may get you lead  to find more pragmatic approach to AI.

What are the key obstacles to making AI work for global enterprise?

There are mainly two obstacles: perception and data. There’s a perception that if an enterprise is going to implement AI it’s going to be a tremendous undertaking that has to be applied in a really big way. There’s also a sense that you have to do a lot of preliminary things in order to prepare to implement AI.

However, a lot of the time, we’re seeing really effective implementations of AI that actually include filling in the gaps that enterprises need to be fully optimized for AI. Lets take a example, When we work with the retailer to create personalised shopping advisor – a virtual agent that actually incorporated customer DNA and made personalized recommendations.

One important thing it was clear that the period of that execution was that they didn’t have actually all of the important metadata about their products to make suggestions. Therefore, we carried out visual identification to the images of their things to assist create and develop the metadata they required to get the bigger term initiative work. There’s a chance to utilize AI to a number of the small issues to assist understand the larger transformation.

The additional crucial difficulty is understanding where your data is, therefore, you need to be capable of establishing ground truth. You can’t include multiple variations of the truth. You should know exactly where your data is stored and what it signifies basically.

A Pragmatic AI Strategy

Rather than evading enterprise AI completely, keep your roadmap grounded. Be realistic about your enterprise’s functionality, however, don’t overthink it. Quite often, deficiencies could be sorted out during the adoption process. To make efforts to improve your data environment. Even Forrester predicts that good quality traditional information architecture may see continued investments in 2019 in an effort to build AI-worthy data environments.

The discussion around Artificial Intelligence (AI) can sound a lot like Brexit. It’s coming but we don’t know when. It could destroy jobs but it could create more. There are even questions about sovereignty, democracy and taking back control.

Yet even the prospect of a post-Brexit Britain led by Boris “fuck business” Johnson doesn’t conjure the same level of collective anxiety as humanity’s precarious future in the face of super-intelligent AI. Opinions are divided as to whether this technological revolution will lead us on a new path to prosperity or a dark road to human obsolescence. One thing is clear, we are about to embark on a new age of rapid change the like of which has never been experienced before in human history.

From cancer to climate change the promise of AI is to uncover solutions to our overwhelmingly complex problems. In healthcare, its use is already speeding up disease diagnoses, improving accuracy, reducing costs and freeing up the valuable time of doctors.

In mobility, the age of autonomous vehicles is upon us. Despite two high-profile incidents from Uber and Tesla causing death to pedestrians in 2017, companies and investors are confident that self-driving cars will replace human-operated vehicles as early as 2020. By removing human error from the road AI evangelists claim the world’s one million annual road deaths will be dramatically reduced while simultaneously eliminating city scourges like congestion and air pollution.

AI is also transforming energy. Google’s DeepMind is in talks with the U.K. National Grid to cut the country’s energy bill by 10% using predictive machine learning to analyze demand patterns and maximize the use of renewables in the system.

In the coming decades autonomous Ubers, AI doctors and smart energy systems could radically improve our quality of life, free us from monotonous tasks and speed up our access to vital services.

But haven’t we heard this story of technological liberation before? From Facebook to the gig economy we were sold a story of short-term empowerment neglecting the potential for long-term exploitation.

In 2011 many were claiming that Twitter and Facebook had helped foment the Arab Spring and were eagerly applauding a new era of non-hierarchical connectivity that would empower ordinary citizens as never before. But fast forward seven years and those dreams seem to have morphed into a dystopian nightmare.

It’s been well documented that the deployment of powerful AI algorithms has had devastating and far-reaching consequences on democratic politics. Personalization and the collection of data are not employed to enhance user experience but to addict and profit from our manipulation by third parties.

Mustafa Suleyman co-founder of DeepMind has warned that just like other industries, AI suffers from a dangerous asymmetry between market-based incentives and wider societal goals. The standard measures of business achievement, from fundraising valuations to active users, do not capture the social responsibility that comes with trying to change the world for the better.

One eerie example is Google’s recently launched AI assistant under the marketing campaign “Make Google do it”. The AI will now do tasks for you such as reading, planning, remembering, and typing. After already ceding concentration, focus and emotional control to algorithms, it seems the next step is for us to relinquish more fundamental cognitive skills.

This follows an increasing trend of companies nudging us to give up our personal autonomy and trust algorithms over our own intuition. It’s moved from a question of privacy invasion to trying to erode control and trust in our minds. From dating apps like Tinder to Google’s new assistant the underlying message is always that our brains are too slow, too biased, too unintelligent. If we want to be successful in our love, work or social life we need to upgrade our outdated biological feelings to modern, digital algorithms.

Yet once we begin to trust these digital systems to make our life choices we will become dependent upon them. The recent Facebook-Cambridge Analytica scandal of data misuse to influence the U.S election and Brexit referendum gives us a glimpse into the consequences of unleashing new and powerful technology before it has been publicly, legally and ethically understood.

We are still in the dark as to how powerful these technologies are at influencing our behavior. Facebook has publicly stated that they have the power to increase voter turnout. A logical corollary is therefore that Facebook can decide to suppress voter turnout. It is scandalous just how beholden we are to a powerful private company with no safeguards to protect democracy from manipulative technology before it is rolled out on the market.

A recent poll from the RSA reveals just how oblivious the public is to the increasing use of AI in society. It found only 32% of people are aware that Artificial Intelligence is being used in a decision making context, dropping to 9% awareness of automated decision making in the criminal justice system. Without public knowledge, there is no public debate and no public debate means no demand for public representatives to ensure ethical conduct and accountability.

As more powerful AI is rolled out across the world it is imperative that AI safety and ethics is elevated to the forefront of political discourse. If AI’s development and discussion continue to take place in the shadows of Silicon Valley and Shenzhen and the public feel they are losing control over their society, then we can expect in a similar vein to Brexit and Trump a political backlash against the technological “elites”.

Long-Term Risks

Yet the long-term risks of AI will transcend politics and economics. Today’s AI is known as narrow AI as it is capable of achieving specific narrow goals such as driving a car or playing a computer game. The long-term goal of most companies is to create general AI (AGI). Narrow AI may outperform us in specific tasks but general artificial intelligence would be able to outperform us in nearly every cognitive task.

One of the fundamental risks of AGI is that it will have the capacity to continue to improve itself independently along the spectrum of intelligence and advance beyond human control. If this were to occur and super-intelligent AI developed a goal that misaligned with our own it could spell the end for humanity. An analogy popularized by cosmologist and leading AI expert Max Tegmark is that of the relationship between humans and ants. Humans don’t hate ants but if put in charge of a hydroelectric green energy project and there’s an anthill in the region to be flooded, too bad for the ants.

Humanity’s destruction of the natural world is not rooted in malice but indifference to harming inferior intelligent beings as we set out to achieve our complex goals. In a similar scenario if AI was to develop a goal which differed to humanity’s we would likely end up like the ants.

In analyzing the current conditions of our world it is clear the risks of artificial intelligence outweigh the benefits. Based on the political and corporate incentives of the twenty-first century it is more likely advances in AI will benefit a small class of people rather than the general population. It is more likely the speed of automation will outpace preparations for a life without work. And it is more likely that the race to build artificial general intelligence will overtake the race to debate why we are developing the technology at all.

Read Original article here

https://theconversation-room.com/2018/08/28/do-the-benefits-of-artificial-intelligence-outweigh-the-risks/

The impact of technology on business over the last 20 years is well documented, but how effective are enterprises at taking advantage of technology to reconstruct their businesses? Based to a newly released info brief by IDC, 96 % of organizations have a digital transformation strategy; however, one 3 rd of them report that the distance between IT and the business is a major obstacle in their success towards digital transformation. The particular alignment of IT and the business is not optional today – it is imperative to stay relevant in a fast-moving world. How will IT choose to respond to the possibility to lead the way for digital transformation?

Very first off, we must ask yourself ‘what is a digital transformation? ’ There are several definitions, but to keep it simple, digital transformation is the “use of digital technology to provide more value to customers. ” Digital change is mostly about enhancing the customer (employees or external customers) experience and enabling business agility to support changing market dynamics. This is possible if three enterprise dimensions are optimized using modern systems and methodologies: people, hazards and processes.

The record concludes that there are four primary considerations to execute digital transformation and business innovation:

Governance, risk, and compliance management – In the fast-paced surroundings needed to support digital transformation, it is crucial to get the right governance, chance, and compliance processes and automation to protect company and customer data.

Agile delivery of applications and services – Digital change requires that organizations quickly adapt to changing business and market dynamics. To be able to address these areas, seventy-seven percent of organizations reported they want to make ITSM processes more agile to support small business.

Knowledge management and sharing – Transformation of the workforce to be more productive and innovative is a vital ingredient in the digital transformation journey, with knowledge management and sharing serving as a critical capability. Knowledge employees need real-time entry to the answers they need to make choices and innovate. Above 61 percent of respondents reported that they are looking for superior self-help, mobility, automation and self-service abilities that help deliver knowledge in an effective way.

Skills and talent management (people) – Typically the workforce is at the center of transformation. Obtaining the right people with the right skills is important for the organization to execute and innovate in today’s competitive world. A vital finding in the research is that 77 % of organizations discovered that business strategy is a key skill needed by IT leadership to support digital transformation initiatives.

In accordance with the survey results, by 2020, 60 % of CIOs will implement an IT business design and a technology-first culture that focuses on creating cameras and services that improve user and employee satisfaction. A business-oriented method to IT strategy is a must while companies navigate through the digital transformation journey. Over 75 percent of the respondents admitted that IT needs to better align their skills in business technique to keep up with the competition. An overwhelming 78% of corporations acknowledged that supporting business agility will be a key influencer inside it strategy by 2020.

IT is at the heart of digital transformation with 88 % of organizations citing IT as “very important” or “important” to successfully execute on digital advancement. In addition, ITSM can be considered a critical capability for IT to execute against the demands of digital transformation across the business. Two key areas of IT transformation discovered in the investigation that is critical for supporting the business are:

Better User Encounter: What stood out in the survey results was your importance on simplicity and easier user experience. Modern organizations are leveraging advancement from ITSM platforms to provide modern, intuitive, and satisfying user activities that boost productivity, improve collaboration that helps retain talented employees. With shifting demographics in the workplace and consumerization of services, employees and external customers demand better experiences when engaging with the business for services and support.

Key conclusions:

Improving self-service adoption to fix business issues faster was important for over half (53 %) of large organizations

Over 55 % of organizations have high volumes of service desk tickets with no self-service in place

Over 50 % of organizations cannot meet performance, availability and service quality expected by business users

68 % of organizations are establishing the ability to provide access to ITSM through role-based apps, portals, and dashboards to increase the user experience. This is the second set of standards on the wish list and it is accepted as a top priority for large enterprises

sixty-one percent of companies work to provide superior self-help, mobility, automation and self-service features that deliver knowledge in a powerful way

Advanced Automation: To support more agile business procedures and deliver better customer experiences, IT organizations are leaning read more about modern ITSM platforms to provide superior process automation, better presence into financial and service utilization data and improved governance and analytics for making technology and business service decisions. To obtain these goals, 83 % of businesses said that modernizing their ITSM tool with an even more agile solution was an overwhelming priority.

Key conclusions:

For 7 out of 10 organizations, their existing ITSM infrastructure is not agile enough to deliver IT to business faster

6 out of 12 don’t have the granular visibility to find IT service issues and fix them quickly

Over 55 percent of companies struggle in adopting best practices such as ITIL or DevOps due to ITSM restrictions

74 % of organizations are looking for ease of use and modern features and functionalities — such as drag-and-drop configuration, high scalability or low-code customization. The finding stood away as the top criteria for investment.

Aloha Technology provides unique solution for your enterprise so go with it.

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Starting a business can be a complicated experience, but it is often rewarding. If you are starting a business, you should consider using technology solutions to make the business run more efficiently.

Use Technology for Time Management

Time management is a necessary part of starting a business. You need to have a timeline, goals for your time and know what you’re doing at all times. If you know these things, you’ll always know exactly when you need to be performing a task or something similar. It’s important to start doing this right away.

IT Operations Matter

Handling IT aspects can be hard especially for someone who has never worked in IT before. Using Managed IT operation services might make it easier for you to handle different aspects of IT. It may also make it easier for you to form connections with the people you’re working with since it can be easier to get started with your business if you handle the technological aspects of it.

Team up for Technology

If there is a piece of technology you really want but just aren’t quite ready to invest in right away, you might want to team up with another company that’s getting off the ground. Split the cost of the tool and then split your use of it. There are different ways you can do this, but the easiest is finding software that can easily switch between different systems or companies.

Work Smarter, Not Harder

Technology is all about working smarter instead of working harder. Dedicate different tasks to the way you want to work and make sure you’re doing everything you can to make the tasks easier. It’s important to try different things and make sure you’re prepared for anything that could come in the way of your business being successful.

Research before Investing

Always do your research. The chances are you researched about your business before you invested your time and money in it. Do the same thing with technology you plan to use in your business. If you know what you want, start researching it right away so you can make the necessary changes. It’s important to focus on how technology can improve your business instead of how it could cost your business a lot of money.

Starting a business doesn’t have to be difficult. Even though it takes a lot of work, there are things you can do to ensure the process goes smoothly.

Aloha Technology is a global IT services firm delivering digital transformation by putting digital and data to work to create a competitive advantage. Aloha's domain expertise spans across several business verticals like Retail, Healthcare, Telecommunication, Business Intelligence, BFSI, Enterprise Collaboration, Supply Chain, Internet Advertising and CRM.

Artificial Intelligence is a concept that concerned people from all around the world and from all times. Ancient Greeks and Egyptians represented in their myths and philosophy machines and artificial entities which have qualities resembling to those of humans, especially in what thinking, reasoning and intelligence are concerned.

Artificial intelligence is a branch of computer science concerned with the study and the design of the intelligent machines. The term of "artificial intelligence", coined at the conference that took place at Dartmouth in 1956 comes from John McCarthy who defined it as the science of creating intelligent machine.

Along with the development of the electronic computers, back in 1940s, this domain and concept known as artificial intelligence and concerned with the creation of intelligent machines resembling to humans, more precisely, having qualities such as those of a human being, started produce intelligent machines.

The disciplines implied by the artificial intelligence are extremely various. Fields of knowledge such as Mathematics, Psychology, Philosophy, Logic, Engineering, Social Sciences, Cognitive Sciences and Computer Science are extremely important and closely interrelated are extremely important when it comes to artificial intelligence. All these fields and sciences contribute to the creation of intelligent machines that have resemblance to human beings.

The application areas of artificial intelligence are extremely various such as Robotics, Soft Computing, Learning Systems, Planning, Knowledge Representation and Reasoning, Logic Programming, Natural Language Processing, Image Recognition, Image Understanding, Computer Vision, Scheduling, Expert Systems and more others.

The field of artificial intelligence has recorded a rapid and spectacular evolution since 1956, researchers achieving great successes in creating intelligent machines capable of partially doing what human beings are able to do.

Obviously, researchers have encountered and still encounter several problems in simulating the human intelligence. An intelligent machine must have a number of characteristics and must correspond to some particular standards. For instance, the human being is able of solving a problem faster by using mainly intuitive judgments rather than conscious judgments.

Another aspect that researchers have considerably analyzed was the knowledge representation which refers to the knowledge about the world that intelligent machines must have in order to solve problems such as objects or categories of objects, properties of objects, relations between objects, relations such as those between causes and effects, circumstances, situations etc.

Moreover, another challenge for researchers in the field of artificial intelligence refers to the fact that intelligent machines must be able to plan the problems that need to be solved, to set a number of goals that must be achieved, to be able to make choices and predict actions, they must be able learn, to understand the human languages and to display emotions and be able to understand and predict the behavior of the others.

Artificial intelligence is an extremely challenging and vast field of knowledge which poses many questions and generates many controversies but also solves many problems that technology and industry are confronting with today and may offer many answers in the future.

The Internet of Things is supposed to induce the 3rd biggest technology innovation in history after the Business Revolution of the 1800s accompanying with the Internet Revolution of the 1990s. The capability to utilize computer data from any specific and every type of device in the system, and also employ the data to attain a larger outcome, is beginning to change the method we reside our lives or run our businesses.

Even though a variety of sensors are now being utilized from a few decades, the mixture of data gathering and analytic software, which IoT solutions represent, is fairly modern. It provides limitless opportunities for extracting real-time information, and develop superior systems or manages the business better. And Aloha Technology is at the forefront of IoT innovation and business process adaptation.

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Every technological shift only scales when there are proven economic advantages, and the IoT and Industrial IoT are no exception. In fact, according to Eric Simone, founder and CEO of ClearBlade, an Enterprise IoT Edge Computing platform company, “given the number of moving parts in any meaningful enterprise IoT deployment, there’s no getting away from the requirement to prove to end customers how connecting things will save money or increase revenue.”

Simone, who worked twice at IBM and established ClearBlade in 2007, over ten years ago when IoT was starting to take off, knows what it takes to cross the chasm of cool ideas into massively scaled deployments.

“In addition to solid software,” Simone said, “two elements are mission critical to successful projects – economics and ecosystems. Without understanding how to create profitable business models, and without working well with partners, in both the hardware, software and networking domains, even the most visionary projects will not work.”

Start-ups, large enterprises, investors, developers, governments and systems integrators have embraced the IoT with great energy given its natural potential to improve communities, manage urban growth, secure towns and cities, and make factories and farms more productive and efficient.

Simone says “innovation has outpaced implementation, and that has caused some understandable wariness. We’re getting through the early period, however, when miscalculations and unintended consequences have caused disappointments and losses.”

Traditional Business Models Need Not Apply Traditional hardware business models, including hardware and software combined models, do not apply to IoT and IIoT.

The logic is straightforward: IoT devices require an upfront commitment, followed by recurring costs for connectivity. Applications are dynamic and, done well, result in long-term value for customers.

“Getting to the ROI is different in this world,” Simone said. “Especially when you layer in machine learning and AI, advantages improve over time, as information collected can make a huge different in improving services and yield over years and even decades. From monitoring to predictive maintenance, compliance monitoring, equipment monitoring, asset tracking, and more, with well-designed systems the data generated can be analyzed in so many productive ways.”

ClearBlade has won large deals across different applications and industry verticals, from the largest private smart community development in NYC since the building of Rockefeller Center, to projects with tier 1 rail providers, and medical device companies.

“Getting the technology right was one thing in winning these incredible projects, getting the economics right was another,” Simone said. “In some cases, the cost savings created a nearly immediate ROI, in other cases the impetus was more about safety and regulation, but even in those cases making sure the economics worked made all the difference in the decision.”

From Economics to Ecosystems Simone also credits interoperability and integration as key to success, even if partnering can get complicated. “There is no one company who can do everything well, which is why we have spent a lot of time building our own ecosystem and joining others.” This includes Linux Foundation’s EdgeX Foundry, where ClearBlade is a charter member, NPM (Node Package Manager) the world's largest software registry for developers, and the Industrial Internet of Things Consortium (IIC).

“The edge is naturally important and really hard to do,” Simone said, “but the edge isn’t everything. We engineered and continue to evolve our platform and products to operate at scale in any cloud, on-premises and edge deployment, with the same technology; that said, we knew we needed to ensure protocol compatibility, and hardware agnosticism.”

The agnostic approach by its nature requires a lot of development cycles, to ensure the technology works across many different types of equipment and networks, as well as interfacing with other platforms and code.

“It took us years to get to this point, and nobody else we are aware of has all the capabilities we deploy today in all environments. This was hard and expensive to do, but we committed to doing this the right way, and we’re attracting a lot of new ecosystem partners as a result, and winning deals together.”

ClearBlade works with any cloud (AWS, Microsoft Azure, Google, IBM), has been built into vertical solutions (with large enterprises and projects including BNSF, Hudson Yards, Becton Dickenson, Mining (via Nanotron), and even connected cows (via Nanotron).

With Ingram Micro, ClearBlade is the technology underpinning their new IoT Platform-as-a-Service (PaaS), and with Nanotron and Corvalent they provided OEM embedded licensed IoT software.

Edited by Ken Briodagh

Read Original news here https://www.iotevolutionworld.com/iot/articles/440527-what-iot-platforms-have-been-missing-economics-ecosystems.htm

Aloha Technology

Business transformation will pick up speed in 2019 as enterprises make critical decisions about their digital strategy. Our six digital trends will guide those decisions.

1. Enterprises go after digital business moonshots

In 2019, more enterprises will make bet-the-company commitments to digital business. It’s a new kind of corporate race as companies adopt these moonshot goals. Expect to see a range of innovation: new business models, new technologies and even entire new businesses built from digital.

Enterprises will have to beat back resistance from those following hybrid traditional-digital strategies and internally competing business unit strategies — and unify the entire business around a common digital program. Concentrate your talent, funding, operating model and executive attention on this program. Having a unified digital strategy between the business and IT is the only way to unload the technical debt that is holding companies back from exploring moonshot digital initiatives.

2. Enterprises adopt next-generation IoT platforms

As enterprises map their physical world to an intelligence-rich one, smart “things” will become a driving force. Enterprises will start to implement next-generation platforms in 2019 that can analyze large quantities of industry-specific data streaming in from the internet of things (IoT) and use artificial intelligence (AI) and machine learning (ML) to find novel correlations between data previously thought to be independent.

For example, precision medicine integrates data from new sources (such as WiFi-connected heart monitors, fitness watches, location data or the human genome) with traditional sources (such as blood chemistry or dietary information). Working with these multiple data inputs and their correlations will result in more precise diagnoses and treatment plans.

3.  Action at the edge disrupts the cloud

In 2019 more apps and data will move to the edge, requiring enterprises to manage apps and data differently via what we call “the Matrix,” the pervasive, intelligent information services that go beyond cloud.

Data “gravity” becomes a primary design principle for multi-latency systems. Because data’s context is frequently local, the ability to maximize data’s value depends on local reaction time. Data gravity means data accumulates locally; the analytics needed to react move toward the data. This brings us back to the Matrix, which puts that intelligent interaction — and us — ever closer to the data.

Hence the shifts toward event-driven applications and serverless architectures that allow very small applications to run in lightweight environments as close as the device in your pocket, on your wrist, retrofitted to your desk or outside your house on a pylon. And yes, 5G wireless will change the data accumulation patterns in disruptive ways.

4.  Enterprises enter an age of Information Enlightenment

As enterprises shift to intelligent operations, they are challenged by increasing data arrival volume (digital trend 3) and data analytic complexity (digital trend 2).  The shift to intelligent operations means reacting faster becomes a competitive imperative.  Data value does decay quickly over time;  the value may be highest right when the data is created but much lower only seconds or minutes later.

So, in 2019, translating broad and deep information into actions will become a core competency. In this age of Information Enlightenment, companies will understand their information ecosystems better and know what to do to make better, faster, data-driven decisions. ML tools will be key for training systems and speeding response times. Enterprises will realize it’s sometimes better to take action based on a strong probability of being right (e.g., 70 percent) than hold out for being perfect (100 percent). That means paying attention to how ML rules are built.

5.  Enterprises redesign customer experiences amid stronger data privacy rules

In 2019, protecting customers’ personal data will force companies to rethink their digital strategy as the full effects of the General Data Protection Regulation(GDPR) set in. Failure to comply with GDPR will thwart an enterprise’s ability to conduct business globally. Innovative companies will see this digital trend as an opportunity to deliver better customer experiences and to build customer trust and loyalty.

Enterprises must have a clear strategy for managing customer data and processes. They will have to consider changes across their data landscape, especially in marketing databases, demand generation systems and customer relationship management systems.

Enterprises will also need to reimagine their information ecosystems with partners and suppliers, creating privacy-centric information ecosystems built on analytics and security, as they aim to deliver secure interactions and superior customer experiences.

6.  Enterprises begin closing their data centers

The enterprise data center is frequently “in the wrong place at the wrong time”. In 2019 we expect to see a noticeable shift of enterprise data center workloads to multi-tenant data centers in the public cloud. Information processing is becoming a utility, and customers (and their data) are widely distributed. Public cloud providers are providing massive bandwidth and strategically-placed data centers, and enterprises are shifting to them for efficiency and to maximize their data’s value.

In effect, enterprise data centers will become virtual compartments in multi-tenant public clouds and thus will be shut down except for their mainframe workloads. Mainframe workloads will migrate to specialized data centers until they, too, eventually go away. We will see a lot of “lift and shift” in 2019, but the trend will play out over the next 3 to 5 years, as cloud migration gives way to “built for cloud” replacements.

Taking these six digital trends into account will help to ensure that the enterprise’s digital transformation journey like Aloha Technology continues to be successful.

The word “Mobile App” is so familiar nowadays that there are thousands of applications for a newborn baby to 100 years old. There are almost 3.8 million Apps in the play store. Every day at least 10 applications are coded and uploaded into different play stores available in the market. Mobile app development became a passion for many as it is yielding impeccable benefits for everyone.

With Artificial intelligence in the market, Mobile Apps are taking its full advantage to make our day to day life simpler and automated. Even though there are millions of applications in the play store, only a few are successful. So it is very important to choose the best mobile application development company to stand out among your competitors.

What is artificial intelligence?

In a simple phrase, we can describe Artificial intelligence as “Intelligence beyond Humans”. We have been listening to the phrase “Robots will replace humans very shortly”. But have you ever thought how it would be possible?

Artificial Intelligence is a computer science engineering subject. In this field, we study how to make robots think intelligently. So that they perform all the tasks that a human can do. AI is everywhere and vast in use from health care to technology. The concept behind automatic cars or trains is Artificial intelligence.

How Artificial intelligence can work with mobile apps?

If you are up to date with the Amazon products or technology, then you must have known about the Amazon product Alexa. It works on your voice commands when connected to your households. If not electronics, have you heard about the driverless car apps?

These both work on artificial technology. Both artificial intelligence and mobile app reduce our work thereby our efforts. So mobile app development with artificial intelligence will lay roads to our future.

Benefits of mobile apps with AI

As said AI reduces human effort by maximising the computerised technology. There are a lot of benefits by using AI with mobile Apps, some of them are

Chatbots (instant reply)

Big data analytics

Online reviews

More revenue

Voice assistants (Siri)

Conclusion:

Organizations across the world have only recently come to realize how much of an essential asset database is. It is highly valuable for digital transformation as well as business development. It aids the smooth functioning of machines and systems that carry out important tasks like production, logistics, transformation as well as personnel management.

It is also highly vital for being familiar with the preferences and tastes of the consumer in a dynamic market. Big Data has been a unique phenomenon that forced organizations to develop analytical and processing tools that could be capable of processing a massive volume of data, which is unstructured, complex and being generated at a phenomenal pace.

Big Data has had a revolutionary impact on business analytics. It has enabled organizations to make credible, data-driven decisions. It has also paved the way for technological innovation by being a significant precursor to technologies like the Internet of Things (IoT) and Machine Learning (ML). Let us look at some of the factors behind the immense impact of the Big Data revolution.

The Foundation for Digital Transformation

For technologies like Machine Learning, which involves recognizing patterns and trends within a stipulated set of data, the emergence of Big Data has essentially been a foundational element, bringing about a massive scope for further innovation.

Machine Learning technology relies heavily on historical datasets. Larger the volume of the data, more accurate is the system’s suggestions. Thus, IT professionals have been able to use Big Data to their advantage for exploring the potential of many such technological tools like Artificial Intelligence (again, a historic-data reliant technology) as well as the Internet of Things.

Innovation in the field of cloud computing and storage has been propelled to a great extent. Big Data is also proving to be responsible for introducing a culture of developing insight-driven systems and machines. Big Data has led to the development of analytical and processing tools that are able to crunch scores of data in a very short amount of time.

Companies like Aloha Technology offers many such unique IT services that can pave the way for digital transformation in an enterprise. And it can be said that Big Data has been the cornerstone for most of the contemporary disruptive technologies.

Smarter Business Processes

Business development, strategizing and business expansion involves a lot of crucial decision-making. Leaders across the globe have recognized the value that Big Data provides in this process. Big Data renders a complete 360-degree view of the consumers of a particular product or service.

In an ever-changing market, business leaders know how vital this information is. For analytics, Big Data provides a considerable quantity of database. In terms of the quality, this data is not only diverse but also emerges from a varied source. This helps practices like pattern-finding for strategizing for the future.

Decisions relating to investments, insurance and capital generation can be made easily by relying on Big Data accumulated by the organization. Aloha Technology offers varied services related to Big Data Analytics and Processing as well, which can help your organization make your business processes smarter!

The Impact of Big Data

Looking at the two broad areas mentioned above, it is certain that the impact of the Big Data Revolution is far-reaching. It has touched upon every aspect of business as well as technological evolution. We can now say that we have been ushered into a new era of data-analytics with the advent of The Big Data Revolution.