What Will Be The Future of Digital Marketing in the next 10 years

You might be well aware of today’s advancements in technology as it is reaching up to the heights. In the next 10 years, there will be invention of new technologies and the consumer behavior will be changing along with it. In the next 10 years, digital marketing will have a different face.

Here are a few changes that would decide the future of digital marketing:

1)     Mobile- Centric Marketing:

The shift from desktop to smart phones is extraordinary. This speedy shift to smart phones has led to a higher level of personalization. As smart phones carry on to replace desktop in the coming years, they will play a vital role in creating more personal interaction between the brand and the consumer.

 Due to smaller screen size in smart phones as that of desktops, there will be a shift to content to small screens. As a result, consumption content in social media platforms will grow exponentially. This will make it easy to understand and track consumer behavior. Therefore, it will be really useful in preparing marketing campaigns. Personalization will be the key focus area of marketing in the coming years.

2)     Customer Journey Mapping:

Other noteworthy growth of marketing will be in customer journey mapping. This will become an integral part of marketing strategy in improving consumer interactions and experience. The sheer amount of information obtained using advanced technology will assist in better recognizing consumer’s needs.

In order to better engage with customers, the brands will change their focus on building brand loyalty. There will be loads of modification; website will be designed especially for a particular customer as this will attract the customer to spend time and money on brands.

3)     Transparency will increase:

Customers like to have transparency in business. Being a consumer, you would wait for additional information that will be in detailed regarding the quality of the service or product that you purchase. To meet such expectations from brands, customers will have to be more genuine and transparent.

Brands must understand the preference of customers and provide them more modified offerings to strengthen the brand’s status.  No user wants to connect with brand which does not provide adequate data or satisfactory services. Therefore, it is vital for any business to give their customer the first priority.

4)     Final thoughts:

Just as technology develops the consumer requirements increase as well. According to a market research, consumer’s experience and feedback will offer the content for digital marketing, in near future. Ensure your brand keeps up with latest improvements in technology.

The Latest Trend In Education through Internet of Things

Today rather than an encourager in education, technology is more catalyst. It is progressively changing the education landscape. As per a market reasearch, around 6.4 million connected things in use world over, up 30% from the last. Looking further at the same number in 2020 and the forecast suggests it will be close to 21 billion.

Also, over 80% of participants stated the IOT (Internet of Things) will be the most strategic technology initiative for their organization in a decade.

By 2020, a research estimates that, 30 billion total devices will be connected; nearly triple the number that exists today. 

Following Healthcare and Customer service, IOT in the education industry is disturbing the learning market in a worldwide way as education is becoming part of this evolution.  

Institutions like education are leveraging the Cloud and Radio Frequency Identification to run Big Data. IOT is also allowing real-time view of students and staff for growing effectiveness and informed decision making.

 A quick look at the e-learning space shows the current criticisms against the sector like dropping completion rates, escalating costs and a lack of career readiness amongst learners. The industry is looking to IOT for a shot in the arm and several solutions are being researched to get better and improve the e-learning experience.

Learning on the GO:

Learning has travelled a fair distance from the now humble desktop to numerous devices as everyone wants learning on the go. With online lessons, IOT and learning tools with interactive and engaging content are being made available across platforms. Even as Smart ID cards are being used for attendance marking devices like wrist brands and GPS enabled bus service make sure of safety of students by tracking the location of the bus to give the information real time to parents and the administrators.   

Associated devices not only focus to offer benefits to students with special needs by making essential changes as per the needs of the students but also come handy in conditions of lockdown for emergency reasons.

Content has altered in the way it is designed, curated and presented. To generate content, which can transcend devices and elicit a response is anything however easy but many companies are looking at old programming of Education, namely HTML5, to do the job. One of the significant purposes for this programming switch from Flash to HTML5 in elearning is the rampant use of linked devices and the rise of the -bring your own device (BYOD) movement. An increasing number of devices support HTML5 and interestingly, it is more effective in CPU usage leading to better battery life and offers for offline storage of information. With features like these, HTML5 eLearning authoring tools are fast becoming must-haves and Adope Captivate 9, Articulate Storyline, and Elucidate are just some of the names making best use of HTML5.  

Managing Projects Better:

In the place of work, elearning has become a norm as it has been shown to diminish costs, make learning quicker still more efficient and boost productivity. Deciding a project management tool is one of the most important decisions an elearning team makes. One of the governing factors in making this choice is the tool’s flexibility while remaining completely functional. While there are many tools in the market, there are some that offer standout features.  

Thanks to the boom of technology market, team work will be never be the same again. Learning, especially elearning has become more relevant and robust to corporations and people similar. By means of improvement in connectivity and corresponding upgrades in software, there are more convincing answers to questions thrown up by industry, which makes this an engaging space to watch. 

All You Need To Know About Healthcare technology is evolving patient care.

Innovative technologies are transforming every field, every industry and healthcare business is no exception. Digital technologies are here to stay in the healthcare market. Like other fields, healthcare industry is also evolving with new technology.

It is estimated that technologies will renovate every small elements of the healthcare including the diagnostics, treatments and how the patient care is delivered in the upcoming years. Although technology has been one of the major force behind inventions in every industry, healthcare sector has been mostly unaffected by technological innovations. As per market research, however this is slowly changing.

New innovative technologies in the healthcare industry

A new era of medication has now begun in which each individual can be clearly defined at singular level instead of on population level. With assistance from the contemporary healthcare technology, we can digitize humans.

That is done by continuous monitoring of each patient’s heat condition, breathing rate, blood pressure, blood oxygen levels & glucose levels, body temperature as well as brain activity and waves etc.

Here are some of the best innovative technologies that have entered the healthcare industry in the recent years. Some of these devices are still underway and are slowly being introduced in the mainstream system.

1.       AI [ Artificial Intelligence]

Artificial intelligence is an advanced form of machine learning, in which software/machines obtain the ability to display or mimic a typical human brain. This can help patient’s outcomes by assisting healthcare practitioners in using medical knowledge, and therefore providing excellent medical/ clinical solutions. According to market research, AI systems will deliver affordable, accessible healthcare to all patients.

2.       Internet of things in Healthcare [IOT]

Internet of things isan increasingly growing technology and has been in discussion in recent years. Healthcare settings can benefit from IOT technology by using real-time site services with devices that can trace patients, medical devices and staff.

3.       Better hospital experience

There are numerous healthcare technology companies that are improving the hospital stays in order to keep updated with the needs of modern patients. This is done by removing wasteful redundancy, enhancing the room design and technological clutter that are in a modern healthcare facility.

According to market research, the new rooms will have adaptable portions that can easily customized as per the specifics of the patient.

4.       3D imaging and improved diagnosis

With technologies like digital image processing design recognition and machine learning. Artificial Intelligence is steadily advancing the procedures and access to trustworthy and accurate image analysis. For example, a startup named Butterfly network has built a small Artificial intelligence powered 3-D ultrasound tool that generates 3D pictures of medical images in real-time. This 3D pictures are sent to cloud services that distinguish the characteristics and automates the diagnosis course. Such applications are expected to have a bigger effect on the overall imaging diagnosis market and its growth.

Conclusion

With extensive improvements in the healthcare technology, the way medical records and data are stored and shared is shifting as well. The enhanced healthcare technology offers more customized treatments, earlier diagnoses, and numerous other benefits for both healthcare professionals and patients.

All You Need To Know About Top trends in Big Data in 2017.

Last year was a landmark year for Big Data with more processing, organization, storing and extracting value from data of all forms and sizes. In 2017, systems that support huge volumes of unstructured and structured information will continue to rise. The platforms that assist data overseers govern and secure big data while empowering end users to examine the data will have demand in market.

According to market research, governments around the world have started heavily investing is smart cities. We are expected to see massive growth in both volume and variety in Big Data in 2017.

1.       Convergence of Internet of things, Big Data and Cloud  

With the arrival of various internet connected Internet of Thing devices, there has been an enormous influx of both unstructured and structured data. Much part of this data is being set up on the cloud services. This data will live in several relational/ non-relational systems which include NoSQL databases to Hadoop clusters.

2.       Hadoop will become widespread

2017 will experience a rise in adoption of Hadoop, other connected solutions by organizations. With the adoption of Hadoop, enterprises regardless of their size can process enormous volume and variety of data using enhanced analytics.

Adoption of more improved databases like the Exasol, MemSQLetc had become important for the success of the enterprise.

3.       Data Virtualization

Data virtualization will see a strong momentum in this year, as stated by market research. Data virtualization, has the capability to unlock the hidden results and concepts from a large set of information. It also allows organizations and enterprises to take back and transform the data on the go.

4.       Mixed reality will advance data visualizations

Augmented reality and virtual reality have a gained a lot of traction among the customers in the recent few years. With the launch of Pokémon Go. The Augmented reality had gathered approximately 100 million users within just weeks of its launch. Though Augmented reality and Virtual reality may not be much neededin larger businesses, the concept of Mixed reality may be much useful.

Mixed Reality [MR] co-joins the virtual world with the real world and devices alike. Microsoft Hololensare already gaining popularity. According to Technology market research Mixed reality will proffer numerous opportunities for businesses to improve their ability to perform certain tasks and also to understanding the information better.

5.       Deep Learning

Deep learning is an improved method of machine learning which is established on neural networking. Deep learning assists in recognizing the particular terms of interest from enormous amount of unstructured data. The enterprises and businesses, in 2017 should put more emphasis of Deep learning algorithms to handle the heavy inflow of data.

In conclusion, as mentioned above, 2017 will be an exciting year for Big data and analytic systems, which will become the top priority for businesses. These systems are anticipated to perform well operationally and accomplish every promise of business value to the enterprises.

Seven Best technologies with potential to change the healthcare industry

Technological advancements in the healthcare industry have transformed the global healthcare extremely. Aspects like declining healthcare budgets, ever-increasing population, growth in chronic illnesses are forcing government and healthcare providers to adopt innovative technologies for proffering a solution to these challenges.

Subsequently, the worldwide healthcare industry is primarily in the position to be the key driver of new technological advancements like the Internet of Things [ IoT]. Devices such as the smart watch, smart phone and other emerging technologies will be a major driving force of this revolution.

1.       Digital Therapy

There are healthcare interventions given to the patients through devices like a laptop or smart phone. These devices combine medical therapy/practice into a digital form. Computerized cognitive behavioral therapy [ CBT] is a new collection of automated digital therapies whose objective is to proffer CBT at a scale with better engagement.

2.       Artificial Intelligence [ AI] & Machine learning

Machine learning is a type of Artificial Intelligence that provides learning capabilities to computers without being overtly programmed. Thus, the computers can adapt themselves and transform according to the requirement, i.e. when they are exposed to a new set of data. With Artificial Intelligence, there will be an enormous amount of information to explore. In fact, several technology conglomerates have already started investing in this technologies.

3.       Liquid Biopsies

Liquid biopsies is a technology programmed to detect liver and other kinds of cancer at a very initial stages, even before they symptoms show themselves. This is done by sequencing the DNA by few drops of blood collected from the person. As per many experts, the liquid biopsies rely on the gene sequencing machines, that could help scientists and researchers to detect specific patters of rearranged DNA that are tellingsigns of a cancerous tumor.

4.       Implantable drug delivery systems

As per healthcare technology market research, it is forecasted thatapproximately third and half of all the medicines prescribed to patients with long-term health conditions are not taken in the correct format as prescribed by the physicians. Upcoming technologies have the capability of changing this by equipping professionals with the power of continuous monitoring.

The market research also includes that in future, there could be a sensor technology, so small that it can be swallowed with drugs in a tablet form. So as soon as the pill dissolves in the stomach, the sensor is activated and transmits needed information to the smartphone device.

5.       Genome Sequencing

Major development in genome sequencing and related fields will assist in understanding the disease better. Genome sequencing provides us with a genetic profile of the patient’s disease, which can help doctors to provide better treatment.

According to a market research report, several big projects are in development globally, to better understand the relation between health conditions and genes. For e.g., in the UK, the state is investing 100,000 Genomes project.

6.       Smart Phones

Smartphones are not a new invention but its full potential is yet to be realized, at least in the healthcare sector. Efforts, however have been made but with little success.

With powerful processing capabilities, smart phones can be used as a hub for new diagnosis and treatment technologies. Market research demonstratesa healthcare projects like the BigPD that aims to sign up to 100,000 people and gain new insights into Parkinson’s disease.

7.       3-D printing

There are many possible medical uses of 3-D printing. These uses can be categorized into several types, which includes implants & anatomical models, fabrication of new tissues and organs, production of personalized prosthetics, pharmaceutical research in regards to drug dosage formats and delivery/ discovery.

Why Is The Artificial Intelligence’s contribution in Cyber Security The Most Trending Thing Now?

Cyber- attackers are influencing automation technology at launch strikes, whereas most organizations at rest use physical efforts to collective internal security findings, also putting them in a specific context with outside threat data. With the use of these conventional methods, it can take months or weeks to notice intrusions, during which time invaders can exploit susceptibilities to compromise systems and take out information. To deal with these challenges, ongoing organizations are exploring the use of artificial intelligence (AI) in their day-to-day cyber risk management operations.

According to a technology market report, more than 70% of attacks exploit known vulnerabilities with available patches. Similarly, the findings show that hackers take benefit of vulnerabilities within minutes of their becoming public information. Such statistics emphasize the importance of time-to-remediation. But, because of lack of security professionals and the general challenge of dealing with big data sets in safety, it is not astonishing that vulnerability remediation efforts are not keeping up with cyber challengers. Current industry research proves that it takes organizations on average 146 days to fix critical vulnerabilities.  Noticeably, this benchmark points out you need to rethink existing approach to enterprise security.

Cyber challengers have long influencing machines and automation systems to streamline their operations. Therefore why shouldn’t organizations do the same?

Identification of threats:

Organizations face a rising battle when it comes to cyber security, as the attack surface they have to protect has extended importantly and is predicted to balloon even further. In previous times, it was adequate to focus on endpoint protection and network, however now with applications, cloud services, and mobile devices (e.g., mobile phones, tablets, Bluetooth devices, and smart watches) Organizations are battling a largely completed attack surface.

This ‘deeper and wider’ attack surface just attaches to the existing problem of how to manage the velocity, volume and complexity of information generated by the myriad of IT and security tools in a firm. The feeds from these disconnected techniques should be analyzed, remediation, and normalized effort prioritized.  The more difficult the challenge, the more tools, and the broader the attack surface, the more data to analyze. Conventionally, this approach required legions to staff to comb during the huge amount of data to connect find latent dangers and the dots. Such efforts took months, for the period of which time attackers utilized vulnerabilities and took out information.

Breaking down existing automating conventional security operations tasks and silos, thus, technology has helped to become a force-multiplier for augmenting scarce cyber security operations talent. In this context, the use of human-interactive machine learning engines can mechanize the aggregation of data across different data types; data of map assessment to compliance requirements; and normalize the information to rule out false- positive, enrich data attributes and duplicates.

Risk Assessment:

Once internal security intelligence is contextualized with external threat information (e.g. malware, exploits, threat actors, reputational intelligence), such finding should be inter-related with business criticality to identify the actual risk of the security gaps and their ultimate impact on the organization.

Eventually, unknowing the impact a ‘coffee server’ has on the business assessed to an ‘email server’, makes it nearly impossible to aim at remediation efforts on what actually matters. In this context, human- interactive machine learning and advanced algorithms play a big role in driving the exact response to individual risks.

Orchestration of Remediation:

Increasing teamwork between security teams that are responsible for  recognizing security gaps and IT operations teams which are focused on remediating them, carry on to be challenge for many firms. Through setting up thresholds and pre-defined policies, groups can also plan remediation actions to fix security gaps in a well-timed trend.

Procuring machine learning to do the heavy lifting in first line security information assessment facilitates analysts to aim at more progressed researches of threats rather than performing strategic information crunching. This meeting of the minds, by which, Artificial Intelligence is applied using a human-interactive approach grasps lots of promise for responding, fighting, and detecting to cyber risks.  

Cyber Security – The past, present and future of the industry That Will Actually Make Your Life Better.

With hundreds to thousands of cyber vulnerabilities across the IT infrastructure, the security providers are left with an insurmountable disadvantage. This often leads to longer dwell times and non-coexistentrepetitions that curtail the efficacy of network security programs. So, this begs the question, what is preventing us from prevailing against cyber threats. Furthermore, what are the upcoming approaches that allow enterprises to evolve from a traditional domain expert model to something that is more iterative, communicable and collaborative.

What are the biggest problems in the Cyber security industry and why?

Businesses often make the mistake of executing a reactive- rather than a pro-active approach tocyber security. Most often they rely on blocking techniques which are proven to be ineffective.

One of the biggest issue in IT security is how to manage the velocity, volume, and complexity of the information generated by a number of IT securitytools in a normal enterprise.Feeds from this disconnected, isolated tools must be examined & normalized. Remediation efforts must be prioritized. The more tools, more difficult the challenge.

Eventually, this data accumulation and analysis requires multitudes of personnel to look through the enormous amounts of information to match up and find the required minute detail from the junk. These efforts can take time, while hackers can exploit susceptibilities and extract sensitive information.

Even if an enterprise can hire enough experts and resources to perform this examination, they often misalign remediation work by relying on the internal security intel that lacks context in relation to active threats and which particular vulnerabilities they are manipulating.

Without taking the external threat information and business criticality into consideration, the security teams can concentrate on extenuating the wrong gaps.

What are the factors that reduce the efficacy by cyber security programs?

·         One Dimensional View

Primarily, many business and vendors still give emphasis on network layer, while ignoring other areas of the attack surface, for e.g. application layer. A holistic view of the attack surface, is the need of the day, to match the tactics and competency of the rivals.

The Verizon data breach in 2016 report confirms this point. The network layer and end points are just one part of riddle. The attack platform has grown intensely and therefore security efforts in    Technology market must align as a result.

·         CVE Focus

Secondarily, most vulnerability management tools depend on CVE [ Common vulnerabilities and exposure], which can lead can lead to a misplacement of resources.

For e.g. the POODLE vulnerability which happened in 2014. At the time it was available, it got a 5.5 assessment by the National Vulnerability Database [ NVD]. It is common to sift susceptibilities and only concentrate on those with 7 point or higher CVD. Implementing this model, POODLE vulnerability would have been overlooked. Thus, recognizing the threat, many companies would have been able to adjust the remediation priorities and speak about the POODLE theat.

This incident portrays the necessity of contextualizing the internal security intel with external risk information.

To develop the odds of overcoming cyber threats, enterprises should implement the following three practices:

·         Escalate the frequency of security posture assessments as broadcasted   by the National Institute of Standard and technology’s – continuous observing and diagnostic guidelines

·         Given the shortage of qualified security personnel, influence technology to automate as many security operations tasks as conceivable.

·         Finally, companies can extend security measures to focus today’s growing attack surface. This consist of moving beyond the network layer and endpoints, to include databases, applications, IOT and cloud environments etc.

To conclude, it is no longer feasible to handle the threats individually, taking into account the steep volume of protection gaps that exist. Therefore, an all-inclusive method that reflects the business impact as well as security posture can curtail attack surfaces and then reduce the dwell period during which susceptibilities can be manipulated.