The past decade saw some impressive changes brought into the aorta of risk management. And the change is showing no signs of slowing down, now.
In order to keep pace with the changing times, you need to get to the crux of these five trends that are shaping the role of risk management in banking sector: Continue reading “What the Future Holds for Risk Management in Banking”
Today, Pelle Braendgaard writes distributed applications, or “DApps,” for Ethereum—a cryptography-based technology that is waiting to make an impact. It’s similar to the green field of 1990’s web, providing similar opportunities as then.
If people at all know about Ethereum, it is as Bitcoin’s first cousin that stands for everything experimental and of course Braendgaard, who is widely acclaimed as the old-guard programmer. The price of Ether, the coin underlying Ethereum, has spiked up by over a factor of 20 in the last 6 months. Unfortunately, on the zest to become rich quickly, many of us have overlooked Ethereum’s prominent significance. More than just being a new type of digital currency, Ethereum has developed into a new breed of distributed computer, which no one can control but can see inside out. Through this computer, a new creed of applications is launched -“DApps”.
Continue reading “Why Ethereum Is the Next Big Thing for Today’s Netizens?”
Machines are going to eat our jobs.
AI is handling insurance claims and basic bookkeeping, maintaining investment portfolios, doing preliminary HR tasks, and performing extensive legal research and lot more. So, do humans stand a chance against the automation apocalypse, where everything, almost everything will be controlled by robots?
What do you think? You might be worried about your future job opportunities and universal basic income, but I would ask you to draw a clearer picture about this competing theory – because, in the end, this question might not even be a plausible and completely valid question. Why, I will tell you now.
Continue reading “Automation Doesn’t Necessarily Make Humans Obsolete, Here’s Why”
Analysts at Facebook promptly shut down the Artificial Intelligence system over concerns they might lose control over the system. Recently, Facebook had developed a new Artificial Intelligence program, which could create its own language with the help of code words to make communication easier and effective. The researchers took it offline, when they understood the language used is no longer English.
Though this isn’t the first time that AIs went a step ahead to take a different route instead of the oh-so-regular training in English language to develop their own more productive language, the recent Facebook incident made us wary about Elon Musk’s warnings about AI. “AI is the rare case where I think we need to be proactive in regulation instead of reactive,” Musk, co-founder, CEO and Product Architect at Tesla once stated at the meet of US National Governors Association. “Because I think by the time we are reactive in AI regulation, it’ll be too late,” he further added.
Continue reading “Facebook Shut Down AI amid Fears of Losing Control”
Each year, pronouncements are made. And each year, a particular job field rides high above the tides of fortune.
For 2017, Data Scientist jobs seem to be #1 Best Job in India. Several magazines and research associates have put Data Scientist jobs at #1 position. No wonder, data science jobs are the hottest jobs in today’s market, hopefully in future too.
So, how do you become a good data scientist? Affordable Data Science Training Course in Gurgaon is now available in India that too quite easily. DexLab Analytics is one such institute that offers state-of-the-art data science training facilities for young aspiring candidates.
If you are aware of the top data science skills, you must have known that statistical analysis and data mining calls for SAS specialization. SAS plays an important role in all these disciplines. It has been the pioneer and the most reliable software suit, and for a long time enjoying the monopoly position.
However, since the advent of R and Python, the powerful open source competitors, it is true that the growth curve of SAS has been little but hampered. Nevertheless SAS skills still boast of astounding demand all over the world.
SAS training courses help you understand the nuances of data science. Nowadays, these training’s are not too difficult to find, myriad institutes offer online and classroom training for its students on a regular basis. It is no more too difficult to get a grip on the fundamentals of this subject matter.
It would be like mine 11th commandment – there is a shortage of data science jobs. It is being predicted that there could be a shortage of 200,000 data scientists by 2020, and this is for real. Indian market is an emerging economy, though data science may not be so famous here as it is in the US, yet I am proud to say that the importance of this field is on the rise.
The survey says – the global demand for data scientists grew by more than 50% in between 2014 and 2015, while the searches have increased by 73%.
By analyzing a whole lot of LinkedIn job postings, we have come to a conclusion that there are 5 high-in demand skills that you need to master in order to ace in data analytics – SQL, Hadoop, Python, Java, and R. Apart from these five, you also need to be quite proficient in Data Visualization and statistics, and try to bring out your creative side to the front.
Make sure, you know what you want, very clearly. Prepare yourself well, before getting into any course. Experience matters, but before that you need encompassing training on the subject matter that can only be offered by a pioneering institute of data science. However, before investing money and your time, check properly if the curriculum satisfies your needs. The material needs to be crisp, to the point and in line with the current industry standards.
DexLab Analytics is a top-of-the-line data science training institute in Gurgaon, offering high-in demand courses on analytics. For any assistance, reach us.
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A lot of myths are going around about Artificial Intelligence.
In a recent interview, Alibaba founder Jack Ma said AI can pose a massive threat to jobs around the world, along with triggering World War III. The logic of shared by him explained that in 30 years, humans will be working for only 4 hours a day, and 4 days a week.
Fuelling this, Recode founder Kara Swisher vouched for Ma’s prediction. She supported him by saying Ma is “a hundred percent right,” adding that “any job that’s repetitive, that doesn’t include creativity, is finished because it can be digitized” and “it’s not crazy to imagine a society where there’s very little job availability.”
Besides, I find all these stuffs quite baffling. I think that if AI is going to be the driving force towards innovation and bringing in a new technological revolution, it’s upon US to curate the opportunities that will require new jobs. Apocalyptic predictions just don’t help.
Let’s highlight the myths and the logical equations:
Remember, it’s humans who have created robots. We excel at mechanizing, systematizing and automating. We spurred the automation drive, while infusing intelligence to the machines.
The present objective is to create AIs that can work together with human intelligence to develop new narratives for problems we are yet to solve. To solve these new problems, we need new kinds of jobs – there’s a great scope of opportunity, let’s not believe that AI will kill our jobs.
DexLab Analytics is here with its comprehensive machine learning courses.
From drones to self-organizing shelves in warehouses to machines sent to Mars, all are just machines programmed to function.
Data mining, Data Science, Pattern Recognition – they are just human-created models. They might be intricate or complicated in nature, but not AI. Data and AI are two entirely different and divergent concepts.
Though Machine Learning and Deep Learning are a part of the enormous AI tool kit, they are not AI. They are just mere tools to program computers to tackle complex patterns- like the way your email filters out spam by “understanding” what hundreds and thousands of users have identified as spam. They look uber smart, undeniably, in fact scary at times, when a computer wins against a renowned expert at the game GO, but they are definitely not AI.
Search Engines have made our lives easier, undoubtedly. The way you can search information now was impossible few years back, but being the searcher, you too contribute the intelligence. All the computer does is identify patterns from what you search and suggest it to others. From a macro perspective, it doesn’t actually know what it finds because it’s dumb in the end. We feed them intelligence, otherwise they are nothing.
So, instead of panicking about the uncertainties that AI may bring into our lives, we should take a bow and appreciate the efforts humans gave into creating something so huge, so complex like AI.
And remember, AI has always created jobs in the past and didn’t take them. So, be hopeful!
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The INTCK and INTNX functions in SAS helps you compute the time between events. This technical blog is based on the timeline of living US presidents, sourced from a Wikipedia table. The table data shows the number of years and days between events.
So, let’s start.
To calculate the interval between two dates, you can use these two SAS functions:
The INTCK function returns the number of time units between dates. The time unit can be selected in years, months, weeks, days, or whatever you feel like.
The INTNX function helps you compute the date that is 308 days away in the future from a specific date. This was just an example to help you understand what it means. The INTNX function returns a SAS date that is particular number of time units away from a particular date.
These two functions share a complimentary bond: where one calculates the difference between two dates, the other entitles you to add time units to a specified date value. Also, the INT part in both the functions denotes INTervals, and the terms INTCK and INTNX means Interval Check and Interval Next, respectively.
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These two prime functions tend to be useful in counting the number of anniversaries between two dates along with calculating a future anniversary date. Use the ‘CONTINUOUS’ option for the INTCK function and the ‘SAME’ option for the INTNX function in the following manner:
The ‘CONTINUOUS’ option in the INTCK function helps you count the number of anniversaries of one date that occur before a second date. For example, the statement
Years = intck('year', '30APR1789'd, '04MAR1797'd, 'continuous');returns the value 7 because there are 7 full years (anniversaries of 30APR) between those two dates. Without the ‘CONTINUOUS’ option, the function returns 8 as 01JAN occurs 8 times between those dates.
The statement
Anniv = intnx('year', '30APR1789'd, 7, 'same');returns the 7th anniversary of the date 30APR1789. In some ways, it returns the date value for 30APR1796.
The most exciting part about these two functions is that they automatically handle leap years! Yes, you read that right. If you ask for the number of days within two dates, the INTCK function will show leap days in the result. If an event takes place on a leap day, and you ask the INTNX function to reveal the anniversary date, it will report 28FEB of the next year to the next anniversary date.
Go through the following algorithm to calculate the number of years and days between dates in SAS:
Here are the data steps that enable you to compute the time interval in years and days between the first few US presidential inaugurations and deaths.
data YearDays; format Date prevDate anniv Date9.; input @1 Date anydtdte12. @13 Event $26.; prevDate = lag(Date); if _N_=1 then do; /* when _N_=1, lag(Date)=. */ Years=.; Days=.; return; /* set years & days, go to next obs */ end; Years = intck('year', prevDate, Date, 'continuous'); /* num complete years */ Anniv = intnx('year', prevDate, Years, 'same'); /* most recent anniv */ Days = intck('day', anniv, Date); /* days since anniv */ datalines; Apr 30, 1789 Washington Inaug Mar 4, 1797 J Adams Inaug Dec 14, 1799 Washington Death Mar 4, 1801 Jefferson Inaug Mar 4, 1809 Madison Inaug Mar 4, 1817 Monroe Inaug Mar 4, 1825 JQ Adams Inaug Jul 4, 1826 Jefferson Death Jul 4, 1826 J Adams Death run; proc print data=YearDays; var Event prevDate Date Anniv Years Days; run; |
In a nutshell, the INTCK and INTNX functions are consequential for calculating intervals between dates. In this blog, I discussed about two-less-popular options inn SAS, for more such SAS training related blogs, follow us at DexLab Analytics.
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Use intelligence to make the world a better place to live in – Google’s London-based AI coterie, DeepMind is a pioneer in artificial intelligence research programs and has churned out two distinct types of AI that uses the ‘power of imagination’ to plan ahead and fulfil tasks with a higher success rate than the previous ones that lacked imagination.
In a recent interview, DeepMind researchers shared a crisp review of “a new family of approaches for imagination-based planning.” I2As, the so-called Imagination-Augmented Agents make use of an internal ‘imagination encoder’, which helps the AI determine what are and what aren’t productive predictions about its atmosphere.
Continue reading “Google’s DeepMind: Roll the Wheels of Imagination with Advanced AI”
The internet has killed some newspapers’ lunch, but it also presented them something truly remarkable – Data Journalism.
Data journalism is an amalgamation of a nosy reporter’s news sniffing capabilities and a statistician’s fondness for data analysis. By scrounging through vast amounts of data sets that are available through extensive connectivity, data journalists are using this data to etch out interesting stories.
Continue reading “Data Journalism: What is it and how it works”