It & Technology Archives

Latest Innovation in Technology that are shaping the Future of the Industry

The era of modern electronics initiated with the invention of the transistor in the year 1947 and silicon-based semiconductor technology. Now after so many years, we are surrounded by numerous advance technologies, electronic devices and we rely on them in our everyday lives.

Here, we have come up with latest modern innovations that have completely transformed the industry:

Virtual Reality

Virtual Reality works great in electronic manufacturing companies to enhance manufacturing efficiency. It mainly referred to as digital design, integration, and simulation. It enables companies to inspects design objects at all conceivable scales, thereby removing defects in the product in the design stage.

Artificial Intelligence

Artificial Intelligence has become a mainstay of the electronics sector in consumer tech. AI works on different verticals from big data analytics to speech recognition to predictive teach. It is virtually integrated into every piece of IoT technology and is transforming the way companies do business. AI took the center stage at the CSE 2019 and showed how this will affect every aspect of life.

Robotics and Automation

Today, various electronics equipment companies use robotics and automation to boost the efficiency and productivity of the crop. These sensors are widely used on different machines to access priceless data to enhance efficiency as well as decrease the potential damage. Thereby increasing the use of automation and robotic technology to boost productivity and cut production cut.

IoT Technology Driving Smart Household Appliances

Home appliance manufacturers integrate their products with IoT technology to ensure that your customers are comfortable and convenient. IoT is the interconnection of physical objects and devices that are integrated with sensors and software. These technological solutions allow them to exchange and collect data. The major technologies allow smart home appliances like Wi-Fi, micro servers, micro-electromagnetically systems and Bluetooth Low Energy.

5G to Open Up New Verticals

5G is the next-generation mobile data network technology; it offers more speeds than those provided by today’s cellular and cable operators. However, the applications of mobile 5G are very far away from being available for the public. Verizon unveiled its 5G Ultra Wideband; it will alter the virtual gaming landscape with the ability to deliver heightened virtual reality experiences. 5G technology is bringing revolutionary changes in the electronic field.

Self-driving Vehicles

As technology is continuing to transform the auto industry, it has also brought amazing transformations. This year’s CES provided a lot of advanced automotive tech, some of them can be seen in the not-so-distant future. Some of the innovations unveiled at the CES this years in the electronics industry include electric vehicles, large-screen infotainment systems, talking cars, flying taxis, autonomous cars, etc.

Voice-assisted Personal Entertainment Systems

When it comes to personal entertainment spaces in the electronic space, voice-assisted systems have opened up a new level of work quality. LG unveiled its latest Signature Series OLED R, a rollable television that rises out of a box on the touch of a button.

Best Technological Innovations In 2019

In this modern era, technology plays a critical role in finding solutions to all the challenges our world faces today from income inequality to climate change. Today’s technological solutions always shape tomorrow’s world. This year’s emerging technologies demonstrate the rapid pace of human innovation and offer a glimpse into what a sustainable, inclusive future will look like.

Here are the best technological revolutions of 2019 that are disrupting the existing workflow and industry:

5G: MOVING, MANIPULATING, AND ANALYZING DATA

5G network has greatly emerged and enhanced the ability to move, manipulate, and analyze data across wireless platforms. As 5G is coming fully in the near future, it will bring great growth in more complex apps to resolve issues and enhance progress across industries.

No other technological developments have impacted business as effective as 5G. It has wireless connectivity at the speed and latency that are needed for complex solutions like driverless vehicles. Additionally, once 5G gets fully deployed geographically, it will help emerging markets realize the same ‘speed of business’ as their mature counterparts.

MICROBIOMES: GENETIC ANALYSIS OF BACTERIA AND MICROBES

Microbiomes are basically the genetic analysis of bacteria and microbes. As technology evolves, so do the microbes like bacteria that enter the human food chain– in farms, factories, and grocery stores – increasing the quantity of food while also posing a health risk. The latest advancement in the genetic analysis will make it easier to monitor and track the spread of these microbes and also understand the impact on human health.

With the support of Microbiomes, we will be able to understand how they travel and interact with the food chain will lead to further reductions in food waste and lessen the human cost of illness due to contamination.

REVOLUTION IN RECYCLING: BREAKING UP PLASTICS AND MAN-MADE POLYMERS

The recent revolution in recycling will increase the efficient ways of breaking up plastics and man-made polymers. Apart from spreading awareness about the pollution being caused by our reliance on disposable plastic, development in this field will cut the damage to the ecosphere ad also cut the environmental cost of the production of plastics.

Advancement in recycling means new methods of catalytic polymer “digestion” like VolCat that include developing chemical processes to more effectively break down plastic refuse into a state where it can be fed back into the manufacturing process.

BLOCKCHAIN AND DRONES: ENHANCING THE WORLD

Blockchain is the latest innovation of the technological world. These days, many organizations are exploring and implementing blockchain to tackle the increased demand for securing and managing transactions across the internet. Drones are amazing and are used in multipurpose.

Drones enable robotic automation with some geographical restrictions. As drones have numerous advantages, opportunities for development and integration are high for this market. Soon, in the coming days, drones will be used for different work.

These are the top solution for the modern world that will simplify the task and bring enhancement in the world. Hopefully, you find this article interesting and informative.

Customer Relationship Management – A Complete Guide

A single repository to brig sales, marketing, and customer support activities together, CRM or Customer Relationship Management is basically an approach that helps businesses improve existing customer relationships and acquire new customers. This amazing software helps you focus on your organization’s relationships with individual people- including customers, service users, colleagues or suppliers-throughout your lifecycle with them.

CRM software gives everyone- from sales, customer service, business development, recruiting, marketing or any other line of business- a better way to manage the external interactions and relationships that bring growth. It allows business owners to store customer and prospect contact information, identify sales opportunities, record service issues, and manage marketing campaigns, all in one main location.

Types of Customer Relationship Management

CRM Software
CRM Cloud Solutions
CRM Human Management and Artificial Intelligence

Importance Of CRM For Business

Garner has presented a report saying that CRM software revenues have now overtaken database management systems to become the largest of all the software markets. In this highly competitive era and with so many products and services to choose for, customers are picky and customer loyalty seems to be a thing of the past. The moment a product is launched in the market, it has taken a very short time and it becomes a commodity. CRM helps prioritize sales and marketing efforts when dealing with different customer groups.

How Does It Work?

CRM is considered just technology but, it is much more than that. Let’s see the work of CRM in customer-centricity, customer data management, and automation.

Supports a customer-centric strategy
Centralizes all your customer data
Automates customer-facing business processes
Customer-facing process automation

WHO ARE BENEFITTED?

Small Businesses

If you have a small business and you wish a competitive edge in your marketplace, a CRM solution can work here. It will take the burden of IT management off your employees by automating your business process and let you focus on more important aspects.

Giant Business

In case, you have a well-established business, you can simplify and improve even the most complex customer engagements with an array of CRM tools that scale to fit your needs. Bring CRM software in your business and communicate with the customer in an improved manner, track all sales leads efficiently and grow your business overall.

Running A Business Without CRM

Without the technological solution, you get more administration; more administration means less time for everything else. Your sales team can generate a flood of data, meeting prospects and finding out valuable information- but all this information gets stored in handwritten notes, laptops or in the head of your salesperson.

In this modern age, buyers no longer need you to tell them what they need anymore. They are award what they want since they have been searching on the Internet through different channels. Now, they wish to be treated as individuals. They want to feel like their business matters to you and that you care.

Overall, go beyond sales force automation to better understand customer needs, engage more effectively and win more deals with the support of CRM solution.

Latest Innovation in Electronic that are shaping the Future of the Industry

Here, we have come up with latest modern innovations that have completely transformed the industry:

Virtual Reality

Artificial Intelligence

Robotics and Automation

IoT Technology Driving Smart Household Appliances

5G to Open Up New Verticals

Self-driving Vehicles

Voice-assisted Personal Entertainment Systems

How to Find Service Writing Software on the Web

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Service Writing Software for Dummies

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Trump signs bill that creates the Cybersecurity and Infrastructure Security Agency

US President Donald Trump signed today a bill into law, approving the creation of the Cybersecurity and Infrastructure Security Agency (CISA).

The bill, known as the CISA Act, reorganizes and rebrands the National Protection and Programs Directorate (NPPD), a program inside the Department of Homeland Security (DHS), as CISA, a standalone federal agency in charge of overseeing civilian and federal cybersecurity programs.

The NPPD, which was first established in 2007, has already been handling almost all of the DHS’ cyber-related issues and projects.

As part of the DHS, the NPPD was the government entity in charge of physical and cyber-security of federal networks and critical infrastructure, and oversaw the Federal Protective Service (FPS), the Office of Biometric Identity Management (OBIM), the Office of Cyber and Infrastructure Analysis (OCIA), the Office of Cybersecurity& Communications (OC&C), and the Office of Infrastructure Protection (OIP).

As CISA, the agency’s prerogatives will remain the same, and nothing is expected to change in day-to-day operations, but as a federal agency, CISA will now benefit from an increased budget and more authority in imposing its directives.

“Elevating the cybersecurity mission within the Department of Homeland Security, streamlining our operations, and giving NPPD a name that reflects what it actually does will help better secure the nation’s critical infrastructure and cyber platforms,” said NPPD Under Secretary Christopher Krebs. “The changes will also improve the Department’s ability to engage with industry and government stakeholders and recruit top cybersecurity talent.”

With its promotion to the rank of federal agency, CISA is now on the same level as the US Secret Service or FEMA, but still under the DHS’ oversight. The new agency is expected to improve the cyber-security defenses across other US federal agencies, coordinate cyber-security programs with states, and bolster the government’s overall cyber-security protections in the face of mundane criminals and nation-state hackers.

The Amazing Ways Artificial Intelligence Is Transforming Genomics and Gene Editing

By 2021, consultant firm Frost & Sullivan expects that artificial intelligence (AI) systems will generate $6.7 billion in revenue from healthcare globally. One area that machine learning is significantly evolving is genomics the study of the complete set of genes within an organism. While much attention has been paid to the implications for human health, genetic sequencing and analysis could also be ground-breaking for agriculture and animal husbandry. When researchers can sequence and analyze DNA, something that artificial intelligence systems make faster, cheaper and more accurate, they gain perspective on the particular genetic blueprint that orchestrates all activities of that organism. With this insight, they can make decisions about care, what an organism might be susceptible to in the future, what mutations might cause different diseases and how to prepare for the future.

Genome Sequencing and Gene Editing

Since the illnesses an individual experiences in a lifetime are largely determined by their genetics, there has been significant interest to better understand our genetic makeup for years. Our progress was stalled by the complexity and enormity of the data that needed to be evaluated. With advances in artificial intelligence and machine learning applications, researchers are better able to interpret and act on genomic data through genome sequencing and gene editing.

A genome sequence is a specific order of DNA building blocks (A, T, C, G) in a living organism; the human genome is made up of 20,000 genes and more than 3 billion base pairs of these genetic letters. Sequencing the genome is a critical first step to understanding it. The latest technology called high-throughput sequencing (HTS) allows the sequencing of DNA to occur in one day—a process that once took a decade when it was first done.

When changes are made to DNA at a cellular level, it’s called gene editing.

Personalized medicine and life-saving therapies

One of the most exciting prospects about gene technology is the development of precision or personalized medicine. The field, which enables interventions specific to a patient or population of genetically similar individuals, is expected to reach $87 billion by 2023. Historically, cost and technology limited the implementation of personalized medicine, but machine learning techniques are helping to overcome these barriers. Machines help identify patterns within genetic data sets and then computer models can make predictions about an individual’s odds of developing a disease or responding to interventions.

Microsoft acquires conversational AI and bot development firm

SAN FRANCISCO: Microsoft has announced to acquire a conversational Artificial Intelligence (AI) and bot development company XOXCO for an undisclosed sum.

Texas-based XOXCO has been paving the way in conversational AI since 2013 and was responsible for the creation of Howdy, the first commercially available bot for Slack that helps schedule meetings.

“It also developed Botkit which provides the development tools used by hundreds of thousands of developers on GitHub. Over the years, we have partnered with XOXCO and have been inspired by this work,” said Lili Cheng, Corporate Vice President, Conversational AI at Microsoft on Thursday.

Conversational AI is quickly becoming a way in which businesses engage with employees and customers — from creating virtual assistants and redesigning customer interactions to using conversational assistants to help employees communicate and work better together.

According to Gartner, “by 2020, conversational artificial intelligence will be a supported user experience for more than 50 percent of large, consumer-centric enterprises”.

The Microsoft Bot Framework, available as a service in Azure and on GitHub, today supports over 360,000 developers.

“With this acquisition, we are continuing to realise our approach of democratising AI development, conversation and dialog, and integrating conversational experiences where people communicate,” said Cheng.

Over the last six months, Microsoft has made several strategic acquisitions to accelerate the pace of AI development.

The acquisition of Semantic Machines in May brought a revolutionary new approach to conversational AI.

In July, it acquired Bonsai to help reduce the barriers to AI development by combining machine teaching, reinforcement learning and simulation.

In September, Microsoft acquired Lobe, a company that has created a simple visual interface empowering anyone to develop and apply deep learning and AI models quickly, without writing code.

“The acquisition of GitHub in October demonstrates our belief in the power of communities to help fuel the next wave of bot development,” Microsoft said.

How to make AI less biased

With machine learning systems now being used to determine everything from stock prices to medical diagnoses, it’s never been more important to look at how they arrive at decisions.

A new approach out of MIT demonstrates that the main culprit is not just the algorithms themselves, but how the data itself is collected.

“Computer scientists are often quick to say that the way to make these systems less biased is to simply design better algorithms,” says lead author Irene Chen, a PhD student who wrote the paper with MIT professor David Sontag and postdoctoral associate Fredrik D. Johansson. “But algorithms are only as good as the data they’re using, and our research shows that you can often make a bigger difference with better data.”

Looking at specific examples, researchers were able to both identify potential causes for differences in accuracies and quantify each factor’s individual impact on the data. They then showed how changing the way they collected data could reduce each type of bias while still maintaining the same level of predictive accuracy.

“We view this as a toolbox for helping machine learning engineers figure out what questions to ask of their data in order to diagnose why their systems may be making unfair predictions,” says Sontag.

Chen says that one of the biggest misconceptions is that more data is always better. Getting more participants doesn’t necessarily help, since drawing from the exact same population often leads to the same subgroups being under-represented. Even the popular image database ImageNet, with its many millions of images, has been shown to be biased towards the Northern Hemisphere.

According to Sontag, often the key thing is to go out and get more data from those under-represented groups. For example, the team looked at an income-prediction system and found that it was twice as likely to misclassify female employees as low-income and male employees as high-income. They found that if they had increased the dataset by a factor of 10, those mistakes would happen 40 percent less often.

In another dataset, the researchers found that a system’s ability to predict intensive care unit (ICU) mortality was less accurate for Asian patients. Existing approaches for reducing discrimination would basically just make the non-Asian predictions less accurate, which is problematic when you’re talking about settings like healthcare that can quite literally be life-or-death.

Chen says that their approach allows them to look at a dataset and determine how many more participants from different populations are needed to improve accuracy for the group with lower accuracy while still preserving accuracy for the group with higher accuracy.

“We can plot trajectory curves to see what would happen if we added 2,000 more people versus 20,000, and from that figure out what size the dataset should be if we want to have the best of all worlds,” says Chen. “With a more nuanced approach like this, hospitals and other institutions would be better equipped to do cost-benefit analyses to see if it would be useful to get more data.”

You can also try to get additional kinds of data from your existing participants. However, that won’t improve things either if the extra data isn’t actually relevant, like statistics on people’s height for a study about IQ. The question then becomes how to identify when and for whom you should collect more information.

One method is to identify clusters of patients with high disparities in accuracy. For ICU patients, a clustering methods on text called topic modeling showed that cardiac and cancer patients both had large racial differences in accuracy. This finding could suggest that more diagnostic tests for cardiac or cancer patients could reduce the racial differences in accuracy.

The team will present the paper in December at the annual conference on Neural Information Processing Systems (NIPS) in Montreal.

How Artificial Intelligence is Changing SEO

Artificial intelligence and digital marketing are quickly becoming intertwined systems. AI development is occurring at a feverish pace, improving the efficiency with which developers and marketers can do many tasks.

AI goes beyond enhancing market research. Because it doesn’t rely on static methods for data collection, it can do far more to categorize and classify data than almost any market research firm working today.

What this means for techniques like SEO is having tools that can offer data collection for predictive keyword phrases long into the future. In most cases today, SEO is based on the ideas of keyword research and speculation for keywords that can produce excellent results in ranking the webpage.

Stronger algorithms

Search engine algorithms typically have set patterns for the way they rank websites, but with an introduction of AI enhancements to search, marketers may be forced to use the same tools. This is because AI enhancements mean the algorithm can change almost daily. AI enhancements to search engine algorithms can learn from query to query and decide relevant search engine results based off the volume of every search on a much timelier basis.

Introducing SEO tools and software that can adjust keywords on the fly can help to make sure that a page is always in its best position to perform based on current search engine algorithms. Being able to adjust and select main keyword phrases to optimize content regularly or include new variations of content can remain essential to ranking a page.

More relevant, high-quality content

AI simulations can also be extremely helpful with managing technical and on-page SEO. Testing and diagnostic software are only improving with the use of learning algorithms. Performing multiple search engine queries for voice-based search, mobile searches and more could help to make sure that a page is optimized correctly to perform. As most search engine algorithms will place enhancements and search engine ranking to a site that is well optimized for mobile users and fast loading, this can present great opportunities for marketers to optimize further.

AI is also delivering improvements in relevance and quality of content. Google AI tools for search can weed out content that is light on information or simply optimized to rank. Google AI works to check on content relevancy by measuring time spent on each page. AI can go even further with sorting analytics data to check into the content that is producing the best on-page results and categorizing subjects that can keep your viewers returning to the page. Insights on quality of content are giving marketers the tools they need to rank and produce improvements for their viewers too.

These are just a few of the top ways that AI is changing SEO. It seems as though both on a technical side from a search engine perspective and from the side of marketers, an evolution is taking place as these AI systems improve.