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Quantum Computing Going Commercial: IBM and Google Leading the Trail

Quantum computing is all set to make a debut in the commercial world – tech bigwigs, like IBM and Google are making an attempt to commercialize quantum computing. Julian Kelly, a top notch research scientist at Google’s Quantum AI Lab announced with a joint collaboration with Bristlecone, a quantum processor that offers a testbed for various research activities on quantum technology and machine learning, quantum supremacy can be achieved and this could be a great stepping stone for building larger scale quantum computers.

QUANTUM COMPUTING GOING COMMERCIAL: IBM AND GOOGLE LEADING THE TRAIL

After Google, IBM is also making significant progress in commercializing quantum computing technology by taking it to the cloud in 2016 with a 5 qubit quantum computer. Also, last year, November they raised the bar by declaring that they are going to launch third generation quantum computer equipped with a 50 quibit prototype, but they were not sure if it will be launched on commercial platforms, as well. However, they created another 20 qubit system available on its cloud computing platform.  

Reasons Behind Making Quantum Computing Commercialized:

Might lead to fourth industrial revolution

Quantum computing has seeped in to an engineering development phase from just a mere theoretical research – with significant technological power and constant R&D efforts it can develop the ability to trigger a fourth industrial revolution.

Beyond classic computing technology

Areas where conventional computers fail to work, quantum computing will instill a profound impact – such as in industrial processes where innovative steps in machine learning or novel cryptography are involved.

Higher revenue

Revenues from quantum computing are expected to increase from US$1.9 billion in 2023 to US$8.0 billion by 2027 – as forecasted by Communications Industry Researchers (CIR).

Market expansion

The scopes of quantum computing have broadened beyond expectations – it has expanded to drug discovery, health care, power and energy, financial services and aerospace industry.

From cloud to on-premise quantum technology

To incorporate quantum computing into the heart of the business operations’ computing strategy, the companies are contemplating to add a new stream of revenue by implementing quantum computing via cloud. In the future, it’s expected to see a rise in on-premise quantum computing – because the technology is already gaining a lot of accolades.

Better growth forecasts

In the current scenario, the quantum enterprise market is still at a nascent stage with a large user base in the R&D space. But by 2024, it has been forecasted that this share would be somewhere around 30% and the powerful revenue drivers will be industries, like defense, banking, aerospace, pharmaceutical and chemical.

IBM or Google? Who is a clear winner?

In the race to win quantum supremacy, IBM is a sure winner and has made stunning progress in this arena, even though it is receiving stiff competition by Google recently. Google’s new quantum processor Bristlecone has the ability to become a “compelling proof-of-principle for building larger scale quantum computers”. For this, Julian Kelly suggested, “operating a device such as Bristlecone at low system error requires harmony between a full stack of technology ranging from software and control electronics to the processor itself. Getting this right requires careful systems engineering over several iterations.”

 

As last notes, quantum computing has come out from being a fundamental scientific research to a structural engineering concept. Follow a full-stack approach, coupled with rapid testing and innovative practices and establish winning control over this future tool of success.

In this endeavor, DexLab Analytics can for sure be of help! Their business analytics certification online courses are mindblowing. They also offer machine learning using python courses and market risk training – all of them are student-friendly and prepared after thorough research and fact-finding.

 

The article has been sourced from – https://analyticsindiamag.com/why-are-big-tech-giants-like-google-ibm-rushing-to-commercialize-quantum-computing

 

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How to Develop a Data-Driven Culture among the Employees and Organization?

Data creation and consumption is exploding. So is the challenge of analyzing data and transforming it into actionable insights.

How to Develop a Data-Driven Culture among the Employees and Organization?

The expert consultants at IBM say – 90% of the data in the world has been created in the last couple of years at a rate of 2.5 quintillion bytes per day. Just imagine, when such gold mines of information go unused, what toll does it take on companies who harbors them? The loss is insurmountable, isn’t it? 

But the question that makes us brood is how do companies empower employees to use such vast pools of data to reveal hidden business insights?

To keep pace with an accelerating growth of data generation and robust competitive landscape, new age companies need to shift their focus to sound Business Intelligence solutions that helps in collecting and analyzing data to determine patterns and alert users, in case of anomalies in the nature of business. And the good news is that they are doing so.

Once companies start off with data handling and data mining, the issue of utilization needs to be addressed next – the trickiest problem with data utilization is the insights that take place within the departments –while creating data silos. Siloed data results in creating a lot of issues, but the larger one is that it creates only a partial view of whatever is happening within an organization and a bigger picture is not available.

As a result, a data-driven culture is to be adapted – but how?

 

Let’s Take Your Data Dreams to the Next Level

Right from the top-level

The true DNA of any organization lies within its top-level management team, including the founders and managing directors – and that’s where the foundation stone of data-driven culture should be implanted. Implementing something new and offbeat is intimidating, but when the company leaders promote it, the idea gains familiarity and merges with other data-driven decisions.

Empowerment

Employees need to feel empowered – then only they can independently mine data and share crucial findings with colleagues and seniors without asking for help from the IT guys. A common misconception that exists around is that data analytics is a cumbersome task which requires heavy involvement from IT- but in reality, things are changing – BI tools are being revamped to make users more independent and self-sufficient to take better business decisions.

Time and again, it’s important for the executive management to show some token of appreciation to employees for their hard work. It is in these subtle ways the data-driven culture gets promoted across company walls.

 

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Sharing is caring

Now, the data siloes come into the picture. Once employees are comfortable with using data and bearing the fruits of success – insights need to be shared across the business fronts to draw a much larger picture.  Not only it promotes cross-team and departmental collaboration, but also brings in newer data into the limelight that wouldn’t have been possible before. Hence, sharing of insights is crucial for business success.

From the above discussion it is clear, insights gained from data is extensively beneficial for business, as they offer new answers for innovation and development. However, achieving data nirvana is no mean feat – the steps highlighted above should be followed, and then only the companies would be able to achieve their desired goal, i.e. a seamless data-driven culture.

Accelerate your career with business analyst training Delhi NCR. DexLab Analytics offers 360-degree Data Science Online training in Delhi – interested candidates please visit the website.

Sources: http://dataconomy.com/2017/05/data-nirvana-develop-data-driven-culture

Data Analytics: The Key to Track and Curb Leakages in GST

Though our country may have got a One Nation, One Tax Policy, in the face of GST, its revenue collection figures are not so encouraging. In the beginning, GST revenue collection for the first three months went over 90000 crore, but the figures started dropping from October to 83346. And in November, it further slipped to 80808 crore. Since then, the figures mostly lingered around 86000 in the recent months.

 
Data Analytics: The Key to Track and Curb Leakages in GST
 

The Union Ministry of Finance had to figure out the reason of this discrepancy, the reason behind such huge revenue leakage in GST collection before it’s too late, and for that data analytics came to the rescue. After carrying out a thorough analysis, on its 26th meeting on Saturday, GST Council discovered several major data gaps between the self-declared liability in FORM GSTR-1 and FORM GSTR-3B.

 

Highlighting the outcome of basic data analysis, the GST Council stated that the GST Network (GSTN) and the Central Board of Excise and Customs have found some inconsistency between the amount of Integrated GST (IGST) and Compensation cess paid by importers at customs ports and input tax credit of the same claimed in GSTR-3B.

 

 

“Data analytics and better administration controls can help solve GST collection challenges” – said Pratik Jain, a national leader and partner, Indirect Tax at PricewaterhouseCoopers (PwC).

 

He added, “Government has a lot of data now. They can use the data analytics to find out what the problem areas are, and then try and resolve that.” He also said that to stop the leakage, the government need to be a lot more vigilant and practice better controls over the administration.

 

Moreover, of late a parliamentary committee has found that the monthly collection from GST is not up to the mark due to constant revisions of the rates, which has undoubtedly affected the stability of the tax structure and had led to an adverse impact for trade and business verticals.  

 

 

“The Committee is constrained to observe the not-so-encouraging monthly revenue collections from GST, which still have not stabilised with frequent changes in rates and issue of notifications every now and then. Further, the Committee is surprised to learn that no GST revenue targets have been fixed by the government,” said M Veerappa Moily, the head of Standing Committee on Finance and a veteran Congress leader in a recent report presented in the Parliament.

 

The original article appeared inanalyticsindiamag.com/government-using-data-analytics-to-track-leakages-in-gst/

To experience the full power of data analytics and the potentials it withholds, find a good data analyst training institute in Delhi NCR. A reliable data analytics training institute like DexLab Analytics can help you unearth the true potentials of a fascinating field of science – go get details now.

 

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How Precision Medicine is breaking off Chokehold on Healthcare with Big Data?

How Precision Medicine is breaking off Chokehold on Healthcare with Big Data?

Big data is showering its miraculous effects on a range of industries. And the healthcare industry is not left out of the bandwagon. Precision medicine is at the brink of a revolution in individualizing treatment, and healthcare professionals are devising ways to prevent and treat diseases with granularity down to a single patient’s genome. Nevertheless, many out there shudders thinking if such humongous amounts of personal data stored in servers becomes vulnerable to threats from attackers. What will happen then?

It is expected the global precision medicine market will hit $88.64 billion – FYI, precision market is a specialized domain that includes data on a patient’s genes, lifestyle and environment to draw a clear picture of his/her health.

Busting the Security Challenges

Numerous efforts are being implemented to secure the storage facilities in which large chunks of genetic information are stored. Last year, a leading cyber-security company, Northrop Grumman Corp. published a white paper penning down clear guidelines about how to secure precision medicine data. The company seeks out to aid the National Institute of Standards and Technology and the White House Precision Medicine Initiative.

To this, the AHA’s Institute for Precision Cardiovascular Medicine developed the Precision Medicine Platform to boost research and treatment of this particular kind of treatment. The platform is rich in functions, including high-end analytic tools that enable advanced computing and sharing of clinical trial data, hospital data, pharmaceutical data and personal data. The security build-up in here is very strong, and it passes through all crucial compliance tests, according to Laura Stevens, AHA data scientist – “Even if you have data that you’d like to use, it’s sort of a walled garden behind your data so that it’s not accessible to people that don’t have access to the data, and it’s also HIPPA compliant. It meets the utmost secure standards of healthcare today,” she explained.

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Boons of Data

The National Institutes of Health is creating a database to store genetic information to facilitate researchers in curing and preventing cancer and other diseases. It aims to collect data from around 1 million Americans. For applying data on a larger, more diverse population range, genetic information should be collected from larger demographics – that’s more feasible.

The AHA’s Myresearchlegacy.org invites individuals to donate their health, genetic and lifestyle data to aid researchers in treating patients. At present, the researchers are busy conducting precision medicine studies on treating diseases, like pancreatic, breast and other types of cancers. Not much development would have been possible without the advancement in computing power and storage coupled with big data and AI.

“The combination of benefits from process optimization, the ongoing transformation of medical data collection along the analog to digital continuum, and the availability of cheap memory and processing power and coding talent make the evolution of precision medicine inevitable,” David Sable, who runs the Special Situations Life Sciences Fund wrote in Forbes. Apart from managing the fund, he teaches entrepreneurship in biotechnology at Columbia University.

For always, the platform services, like clusters with Apache Spark big data framework, Amazon Elastic MapReduce and EMR thrives to pump up aggregation and analytics. Sometimes, where AI and machine learning tends to be time-consuming, EMR clusters work like a miracle in scaling and making the entire set of things faster to implement, thereby answering research questions faster and identifying crucial insights related to healthcare.

For in-depth understanding on Apache Spark, get certified in Apache Spark Training by DexLab Analytics. They are a prime Apache Spark Training institute in India.

 

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Why B2B Marketers Should Use Predictive Analytics in 2018?

The Risks are indispensable. In any business.

But what if you can nullify the risks?

Or find a suitable solution to limit them?

Why B2B Marketers Should Use Predictive Analytics in 2018?

That’s probably where Predictive Analytics ring the bell. Right from logistics and inventory to marketing initiatives and sales to applications in hiring and HR, predictive analytics is the ultimate tool that impacts business decisions across every domain of a B2B enterprise.

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How Much Excel Excels in Deriving Rich ‘Insights’ from Your Data

For millions, Excel is the ultimate tool to understand data and frame insights. It makes analysis easy as pie and intuitive for all. Those who are well acquainted with Excel might know about Insights – it is the newest artificial intelligence-backed capability that rolled out in preview to Office Insiders last month.

How Much Excel Excels in Deriving Rich ‘Insights’ from Your Data

A quick note on Insights

Insights is a brand new service used to highlight patterns it identifies from your data, aiding you discover and inspect new insights, like outliers, trends and several other relevant visualizations and analyses. It will take special care to find out intriguing trends in your data and offer concise summaries with charts and PivotTables. As it’s powered by machine learning, the capability to churn out advanced analysis tends to increase as usage grows.

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Data Governance: How to Win Over Data and Rule the World

Data is the buzzword. It is conquering the world, but who conquers data: the companies that use them or the servers in which they are stored?

 

Data Governance: How to Win Over Data and Rule the World

 

Let’s usher you into the fascinating world of data, and data governance. FYI: the latter is weaving magic around the Business Intelligence community, but to optimize the results to the fullest, it needs to depend heavily on a single factor, i.e. efficient data management. For that, highly-skilled data analysts are called for – to excel on business analytics, opt for Business Analytics Online Certification by DexLab Analytics. It will feed you in the latest trends and meaningful insights surrounding the daunting domain of data analytics.

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Architecture Trade-offs Pays Well for Enterprise Analytics

Today, owing to an explosion of technology options, determining which analytics stack to adopt takes into account a streak of architectural trade-offs. Over the years, with our experience and expertise we have learnt the most crucial aspect of creating sound analytics systems and pleasing customers with improved digital solutions – is the location where data is to be stored and processed, and the different types of databases to use so that only the right people gain access to it.

Architecture Trade-offs Pays Well for Enterprise Analytics

Opt for a comprehensive data analyst course Delhi NCR from DexLab Analytics.

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How Careers in Tech is Getting Influenced Due to CryptoCurrency Revolution

Cryptocurrency is the new in-thing that is creating a lot of buzz in the tech world. And though your friends and family might be hearing all good things about Bitcoin, you will be surprised to know – it’s creating job. Yes, you heard it right – cryptocurrency is exploding the job market. From startups to blue chip companies, everyone is talking about the perks of blockchain and what it potentials it holds for future.

 
How Careers in Tech is Getting Influenced Due to CryptoCurrency Revolution

Job trends to follow

Going by the reports uploaded by job search site Indeed, job postings for bitcoin, blockchain and cryptocurrency have increased by more than 620% since November 2015. In fact, the search ratios for such jobs have also increased by 1065%, suggesting supply is expanding along with demand.

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