With technologies seeing growth in businesses, more companies are embracing them. The impact of disruptive technologies such as Data Science, Artificial Intelligence (AI), Augmented and Virtual reality (AR and VR), Internet of Things (IoT), Blockchain, Cloud, big data analytics, and other technologies are more often discussed.
According to a recent IDC survey, 47% of the US organizations surveyed thought that AI and robotics will have a positive impact on their organization’s job in the next three years. The companies and business leaders are striving to build capabilities in their organizations to ride the tide of digital transformation.
Let us explore how organizations are planning to leverage technology in their sectors. Though 61% of organizations indicated that they may hire new skills, 57% said that they would invest in reskilling the existing workforce. The Future of Work survey conducted by the IDC survey says that online training, internal knowledge sharing, and engagements with 3rd party training providers (to earn certifications for data analysts, engineers, cloud analysts, or other technologists) to reskill their employees.
However, training and reskilling employees are not the responsibility of the organization alone. The professionals must take initiative to prepare for the new normal. It is necessary to make a shift in thinking to learn. They must evolve their skillset as new tools and techniques surface the organization. They need to reposition themselves by staying abreast of the technology front. It helps them to add value to the business.
The Next Wave of Upskills for Data Scientists
As companies are becoming data-driven, data scientists must embrace the latest tools and technologies to automate tasks and conduct big data analytics. The next wave of upskills includes learning of AutoML, explainable machine learning models, Custom Neural Networks, reusable code, and Natural Language Processing.
Using AutoML, data scientists can evaluate models, train and deploy them. As the tasks get automated, they can focus on solving problems than selecting the ML models
Custom in-house ML models can assist employees to achieve the company’s unique objectives
Data scientists must upskill themselves to explain the factors behind the code. It avoids biased insights
Data scientists must reuse codes to expedite their analytics. It helps them to complete projects at a faster rate
Professionals with Natural Language Processing (NLP) skills have an edge over the others to find relevant information from voice searches and text analysis
Business Benefits of Upskilling in Data Science
It is necessary to integrate data science into the organization. And, reskill employees to derive actionable insights for growth. Some of the business benefits include:
Big data analytics help businesses to detect fraudulent activities
Help businesses to prevent fraud and data breaches
Outpace shareholders’ assumptions and competitors in revenue growth
Integrate data points with the customers’ info and derive insights
Target the potential market
Create personalized products for customers
Going forward, let us know how to upskill oneself to thrive well in the data world.
How to Upskill in Data Science
It is necessary to focus on the skills that employees will be using. Some of them are:
Develop a job-specific upskilling plan or reskill yourselves to succeed
Correlate your tasks with the company’s bigger picture
Focus on business acumen to identify problems, approach, and create solutions
Pursue big data professional certifications. Learn the specific skill set in data analytics
Many tech companies today are investing time and money to upskill their employees. For e.g., Wipro, Tech Mahindra, CSS Corp. Moreover, they are looking for a mix of internal and external talent for emerging new roles.
Make a move that best fits in the interest of your company by upskilling yourselves.
Blockchain and AI have been revolutionizing the industry in their own ways. Transforming various industries, financial services, and supply chain, for instance, by blockchain, and IT by artificial intelligence, have proven the extent to which they can bring out change and innovation.
Blockchain’s underlying encryption techniques which help to store, distribute, and verify data, coupled with AI’s decision making can offer immense value for development and progress.
One useful way in which Blockchain technology can help AI is by making it easily understandable. We can understand how decisions are made by machine learning by leveraging Blockchain’s capability to store all data and variables that go through decision making.
Further, AI can improve the efficiency of Blockchain technology far greater than humans. Blockchain requires an immense amount of computing power. Hashing algorithm – the prominent approach in most blockchain offerings is a hammer and tongs approach. With AI, this could be reduced to smaller and less power consuming tasks.
Here are some other ways in which Blockchain and AI can complement each other 1.Less Computing Power
As mentioned above, blockchain requires a large amount of computing power. The reason is -- it uses a ‘brute force’ approach for its operations. For mining Bitcoin’s blocks and verify, blockchain runs all possibilities until the right one fits in. It’s like code-breaking, trying all possible code combinations until the right one fits in. AI can reduce these possibilities; given that it is fed right training data.
2.Creating diverse data sets
Blockchain is known for its humongous decentralized and transparent network which can be accessed from anywhere on the network. Companies are now using blockchain to build a distribution network. Singularity Net is a network over which data and algorithms can be shared, leading to better access to information and future development of artificial intelligence—what is being called “decentralized A.I”.
Singularity AI uses blockchain and AI to hosts diverse data sets.
AI works on personal data. AI learns about the world and about us with the help of data. The more data it uses, the better it gets at its work. Blockchain technology, on the other hand, secures data with its encryption, allowing access to people who only have been approved to see. Combining both—blockchain and AI – will build more secure databases for sensitive personal data.
For instance, medical and financial data are sensitive information to share with a company. Alternately, this data can be stored on the blockchain and accessed by an AI algorithm, upon permission, to provide a recommendation.
Companies like Google, Facebook, Snap Chat, etc. are already using personal data to drive their revenue. However, this data is accessible to companies and individuals have more or less access to control.
As blockchain stores data in encrypted form. This can be easily utilized to monetize it. As blockchain requires permission, accessibility of data can be controlled. We can easily choose the amount of information we want to share. Similarly, as AI requires data, it opens up the opportunity to buy data from creators and data marketplaces. This will make the process fairer.
Further, it will open opportunities for smaller AI companies that do not generate their own data, instead buy from other places at far more cost. Through the decentralized marketplace, they will be able to access private valuable data, which otherwise would be expensive to buy.
A combination of artificial intelligence and blockchain is yet to be explored. Largely, this space has remained undiscovered. Even though scholars have explored the combination, commercial research is yet to be explored.
A simplistic view is – AI requires data to improve and enhance, but this data is secured by blockchain. AI is revolutionary and blockchain assists in this. However, how the combination of these technologies will turn out is a complete guess. One thing is sure –blockchain and artificial intelligence have potential for disruption and it is evolving.
Slow internet connectivity can be a trying task for internet users. From simple hacks like rebooting the router to using high-end tech support like Mywifiext, there are numerous ways to boost the speed.
Speed test and the choice of your internet plan: The first and foremost thing to do is to test the speed of your internet. There are many speed testing websites that offer to test your internet speed. Once you have installed a reputed and trusted speed testing tool, you can cross-check the actual speed with the given speed of your internet plan. If necessary you will have to change your plan according to your browsing needs.
Check unnecessary or illegal devices that are connected to your internet: Sometimes when many devices are connected to the Wi-Fi, the data connectivity seems to have slowed down, because of bandwidth usage. Sometimes, when you have connected a regular laptop and an iPad to your home Wi-Fi you observe a slower connection to the laptop. Also, media and gaming consoles consume higher bandwidth causing the Wi-Fi to slow down drastically. Check for connected devices that are no longer in use and remove them accordingly.
If your Wi-Fi connection is not secured with a password, a neighbor or anyone who has observed your unsecured Wi-Fi connection might be hopping on to your network and using up your bandwidth. You can check for such unwanted users in the log of connected users available under the Network or Wireless tab.
Check router for upgrades: If your router is outdated, you may want to update it with a newer model or check for updates. Modern routers come with auto-update firmware features, which make you worry less about an incompatible router. If you are using the same router for a decade it is best to search for modern routers to boost your internet speed.
Restart router: If your router is brand new and is up-to-date and yet you are facing internet slow down, try rebooting your router. Simply remove all the cords and power of the router. Switch it on after connecting the modem and wait for it to broadcast the internet signal. You may observe significant improvement in the router speed after this as it clears the router cache.
Change router placement for better signal: If you have hidden your router in a cabinet or a shelf, it is recommended that you change the place. The ideal place for routers is a high open shelf with the antenna placed at an angle between the vertical and horizontal. If it has two antennae you may place an antenna vertically and another horizontally to cover both smart devices and laptops.
Change router channel: Sometimes, the channel interference plays a significant role in slowing down the Wi-Fi speed. Try changing the channel to avoid neighbor channel interference.
Wi-Fi range and how to increase it: Sometimes weaker Wi-Fi signal strength and range may be causing a slow-down of the internet. Try using a modern network to overcome this problem.
Use of Mesh network: Mesh network consists of the main unit which is connected to the modem, there are other units which cover the entire house and work in tandem to give you a strong Wi-Fi signal.
Tech support Mywifiext.net new extender setup for Wi-Fi extenders like Netgear is also available to provide you with extended support for your Wi-Fi network and boost your internet speed.
“If our era is the next Industrial Revolution, as many claims, Artificial Intelligence is surely one of its driving forces,” says Fei-Fei-Li, a Chinese Computer Science expert.
Artificial Intelligence (AI) has the power to transform the way businesses operate and humans interact with each other. Today, we often hear that “AI will take our jobs” or “AI will create more jobs soon”. Though the statements are paradoxical, both the statements appear to be true in one or the other condition.
While the argument continues on the long-term impact of AI, the majority of the engineers are excited to grab the AI career and take their job to a new level altogether. Several activities are seeing automation already and no job will remain untouched by AI, though the degree of impact may vary from field to field.
According to a report by Economic Times, 50k jobs are vacant that require Data Science and AI expertise. The talents are untrained to meet the new-age demands. This makes upskilling a norm for the professionals.
It is estimated that AI and Machine Learning alone have at least 1.4 million job openings at the moment. A LinkedIn report suggests that 11.5 million jobs will be created by 2026.
To grab an opportunity in the AI field, you need to upgrade your skills and redesign your existing career. It is necessary to earn a certification in AI apart from graduation in Computer Science or related fields to make a smooth switch in your career. The curve is steep and requires you to have a set of basic skill sets. Know how to embark on your journey into the AI industry.
Assess your work profile
It is recommended to enlist your daily tasks and evaluate each activity for automation possibilities. If any of your activity involves the performance of the repetitive task(s) that needs little or no human discretion, root cause analysis, or identifying triggers, anomalies, and alerts, then AI can perform them effectively.
Some of the activities such as IT infrastructure scaling, maintenance, monitoring, service desk, and database administration tasks already use AI algorithms. Moreover, quality analysis, quality control, and audits can be performed by AI.
Embrace the change
It is recommended to accept AI automation possibilities and learn about AI capabilities. There is nothing to get scared off or to fight back. Whether it is computer vision, pattern recognition, or natural language processing, build awareness of robotic process automation in your industry. Augment AI by leveraging the benefits of AI in your career and utilize the time for other higher-value activities such as technology or business.
Learn AI capabilities
It is crucial to learn technologies that are alternatives for your area of specialization and upskill yourselves. Understand the broader opportunities AI can bring in and be the technologist who can navigate the changing technology landscape. Identify the opportunities for innovations using AI in your industry. Be the problem-solver.
You can learn AI authentically by earning AI certifications. Some of the popular AI certifications include:
MIT Professional Certificate Program in Machine Learning and Artificial Intelligence
Artificial Intelligence Engineer TM from ARTiBA
Machine Learning Certification by Experfy
Education-Google AI, a free course on AI from Google
Artificial Intelligence (AI) Certification by Columbia University
Artificial Intelligence (AI) Certification by Microsoft
Machine Learning at Udacity
And so forth.
A dedicated AI certification course will help you to master the subject. Artificial Intelligence is the next thing in the IT sector and as the organizations are adopting this technology at a faster rate, the demand for certified professionals is increasing. Give a boost to your career by enrolling in AI program(s).
Right now Bitcoin is bouncing along a 10k bottom. It has spent three weeks in a tight (for Bitcoin) trading range. To date, there is good support at this level and with tightening volatility it continues to look ripe for a breakout. If it is bottoming at 10K as it seems, then this is a good accumulation point.
Ethereum has announced last week a list of six different code changes to be activated for Ethereum’s next system-wide upgrade, Istanbul.
"Istanbul" will be executed in two parts. The first, which will feature all six code changes, is tentatively expected to execute on the Ethereum network in October. These improvements are expected to increase speed, efficiency and security.
Mike Tyson is making headlines with his Fight to Fame’s planned fan token offering; the tokens will apparently confer betting and voting rights on their holders and form part of a transparent blockchain-based economy for the entire ecosystem.
This follows the Litecoin Foundation partnered with premier kickboxing league Glory to become the official cryptocurrency for its online merchandise platform.
French soccer club Paris Saint-Germain was the first big-name club to enter the blockchain space when they partnered with blockchain platform Socios.com to incentivize and monetize fan engagement and experiences via a token ecosystem.
BTC is currently range-bound between 11 and 12k. This range looks like it is holding well. It is a good thing to see it holding but keep watch for a break-up or down for signs of future short term direction. I think we will see more upward price action if we break above 11,750. A break below 11,300 would signify a downward move. Hard to pick. For long term holders - still a buy
So what is driving the Bitcoin price rise over the last few weeks? For a start, global stock markets are tumbling due to the trade war talk between the US and China which is rattling investors.
Secondly, investors are waking up to Bitcoin as a hedge. Currencies are a lot more volatile than they have been and the interest rates attached to them are only going down.
Thirdly, the threat of currency manipulation by major players especially in the form of devaluation creates uncertainty and therefore makes Bitcoin a more considered option.
speculative....as are world markets right now.
For Litecoin, the halving did finally provide a boost with LTC/USD gaining just 13% over the past 24 hours. Many traders had factored in an increase already and bought, so when the announcement occurred the increase was limited.