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Oct-2018 Watson failed to deliver for IBM Reported: Nerd Geek Lab

It’s been a few years since IBM (NYSE: IBM) started talking about its turnaround strategy. The disappointing results of the recently released third quarter do not please investors. The market loses patience and the stock has seen the biggest decline in the last four years, falling to the level of early 2016.

Financial Stats Of IBM

Revenues for the quarter decreased 2.1% year-over-year to $ 18.8 billion, exceeding Street’s estimate of $ 19.1 billion. Adjusted earnings of $ 3.42, however, were better than expected by the market of $ 3.40.

By segment, Cognitive Solutions revenue, which includes software solutions and transaction processing software, decreased 6% to $ 4.15 billion. Global business services revenues increased 1% to $ 4.13 billion, while technology services and cloud computing platforms declined 2% to $ 8.29 billion. Systems revenues increased 1% to $ 1.74 billion and Global Financing revenues decreased 9% to $ 388 million.

Among the key indicators, Cloud revenues rose 10% to $ 4.5 billion, well below the 20% recorded a quarter ago. Global revenue generated by strategic imperatives improved by 13% over the last 12 months to $ 39.5 billion, compared with the 15% growth recorded last quarter. For the quarter, IBM revealed that signatures fell by 21% to $ 8 billion, and the backlog of Services, fell 3% to $ 113 billion.

IBM’s Watson Woes

The market is clearly concerned about IBM’s ability to implement key technology trends. Cognitive Solutions, which includes Watson, was one of the weakest segments of the company during the quarter. IBM attributed the decline in this segment at the close of the largest transactions and to the “secular changes” in the collaboration software, commerce and talent management markets.

According to a survey by Morgan Stanley, those who want to evaluate the artificial intelligence tools of their company increased by 45%, against 35% a year ago. But this growth does not go in favor of IBM. The report found that businesses were more likely to use Amazon (NASDAQ: AMZN) as the preferred supplier over IBM. Amazon’s machine learning service through AWS saw interest increase 24% a year ago, from 24% to 27%, while IBM’s preference went from 33% to 24%.

Results of the survey aside, IBM Watson is not gaining ground even in industries and applications where it has already been deployed. For example, the Watson-on-Oncology service, which IBM says will revolutionize the diagnosis and treatment of cancer, is not progressing as fast as expected. The reports reveal that most of IBM’s partners have blocked or curtailed these projects because they do not see Watson having a positive impact on cancer treatment. Some doctors also added that despite the free access to the service, they did not feel comfortable with Watson, mainly because of a lack of confidence.

What’s with IBM

But IBM believes that it addresses these concerns through new offers. For example, in commerce, he has integrated artificial intelligence into offerings such as customer experience analysis and introduced Notes Domino Version 10, designed for mobile devices and supporting JavaScript and Node.js.

IBM recently launched Sugar.IQ, an application developed with Medtronic (NYSE: MDT). The app harnesses data and applies intelligence to Medtronic’s blood glucose meters. Within the analytics platform, he continued to invest in data and AI improvements. He announced bias detection services and introduced new Watson services on the IBM Cloud Private platform.

In the emerging field of the blockchain, the IBM Food Trust Food Security Network has become operational. The service uses blockchain technology to create visibility and accountability in the food supply chain. It connects producers, processors, distributors, and retailers through authorized, permanent and shared registration of food system data.

It has reached an agreement with Maersk to launch TradeLens, which will apply blockchain technologies to address inefficiencies in the global supply chain. It already has more than 50 participants in the ecosystem and now has more than 75 active blockchain networks.

Its stock is trading at 52-week low levels of $133.42 with a market capitalization of $122 billion. It touched a 52-week high of $171.13 in January this year.
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IBM recently launched Sugar.IQ, an application developed with Medtronic (NYSE: MDT). The app harnesses data and applies intelligence to Medtronic’s blood glucose meters. Within the analytics platform, he continued to invest in data and AI improvements. He announced bias detection services and introduced new Watson services on the IBM Cloud Private platform.

In the emerging field of the blockchain, the IBM Food Trust Food Security Network has become operational. The service uses blockchain technology to create visibility and accountability in the food supply chain. It connects producers, processors, distributors, and retailers through authorized, permanent and shared registration of food system data.

It has reached an agreement with Maersk to launch TradeLens, which will apply blockchain technologies to address inefficiencies in the global supply chain. It already has more than 50 participants in the ecosystem and now has more than 75 active blockchain networks.

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Oct-2018 Artificial Intelligence Availing Tons of Job: Nerd Geek Lab

Nerd Geek LabGartner and PwC seem to agree on a key point about the robot’s apocalypse: Artificial Intelligence will probably create more jobs. According to a recent analysis by PwC, artificial intelligence will create as many jobs as it will remove.

While algorithms and artificial intelligence are gradually eliminating existing tasks and old jobs, new jobs are being born, this is the conclusion of these studies.

Gartner’s forecasts are also bold: by 2020, AI will generate 2.3 million jobs, more than the 1.8 million eliminated, announced research firm Gartner in a report published in December 2017.

Affectionate magnates such as Billionaires Bill Gates and Elon Musk, none other than Elon Musk, claimed that robots would essentially replace humans at work. The types of Silicon Valley appear in press releases scattered about how UBI is our best asset for a fairer and more equitable future.

So-why is Gartner and PwC predicting and forecasting that artificial intelligence will create as many jobs as it destroys?

Is it just the immediate future or is there something else?

While Gartner recognizes that the manufacturing and transportation sectors will be the hardest hit, public sector services industries, such as health and education, should benefit more directly from the benefits of AI.

Lords’ robots warning us of their own inventions seem a bit sarcastic in all honesty, but even if short-term artificial intelligence prospects show rapid job creation, it is likely that this will no longer happen. We do not really know when this point will occur: the year that AI and robots eliminate more jobs than they create. I call it job-killing kill switch (ALEKS). Dramatic, I know.

Gartner remains firmly convinced that at least by 2020, ALEKS is not achieved. We did not expect this to be the case, 2020 is only two years away; a time when autonomous vehicles and the adoption of blockchain are in fashion. No AI or decentralized energy and consumption network with 3D printing or automated health system already in place

PwC admits that artificial intelligence will “displace” 38% of jobs in the transport sector and 30% of jobs in the manufacturing sector, according to their recent report. Artificial intelligence is a positive motivator until it becomes an existential risk. This is what technology companies say for years. rights.

In the health sector, for example, the RN will obviously create more jobs in an aging population and it will be absolutely necessary to follow them. According to PwC, only 12% of jobs in the health sector will be displaced by AI, while 34% will be created.

“The idea is that artificial intelligence will create as many jobs as it will eliminate when it is spread across different sectors. That is until we reach the ALEKS pivot. “

Unlike the singularity that is highly speculative, the ALEKS pivot is a time when it becomes clear that automation is ubiquitous and accelerating so rapidly that human systems cannot keep pace with change. Personally, I would tie such an event closer to the 2030 mark, while automation would just reach its acceleration level.

Artificial intelligence is not the only one responsible for this change, but an important factor.

PwC does not agree, they do not see this point happen any time soon. Our estimates suggest that artificial intelligence will not lead to technological unemployment, as we expect it to result in the displacement of around 20% of existing jobs in the United Kingdom by 2037, but create a similar number.

Gartner has more disturbing news to give, but nothing should worry us too much. Indeed, what Gartner predicts sounds like a convenience and not a terrible picture of uncertainty about the future state of work.

  1. By 2022, one in five workers engaged in essentially non-road tasks will rely on AI to do a job.
  2. Until 2022, efforts by multichannel retailers to replace their business associates through AI will be in vain, even though cashier and operator jobs will be disrupted.
  3. By 2021, the increase in AI will generate a commercial value of $ 2.9 trillion and will recover 6.2 billion hours of worker productivity.

Companies like Nerd Geek Lab, PwC and Gartner, like many others, typically emphasize artificial intelligence to automate everyday, repetitive tasks, while under-representing the impact of artificial intelligence on more complex, occupation-related tasks. employees. Innovation in artificial intelligence and automation, however, history will show, will work in a more mysterious way.

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Oct-2018 50K + Data Science, In Artificial Intelligence Space Jobs Vacant Due to Lack of Talent: Nerd Geek Lab

Nerd Geek Lab report indicates that 50K + jobs in the fields of Data Science and Machine Learning are vacant due to the shortage of skilled talent.

The situation is such that the market has twice as many jobs as job seekers, which indicates an urgent need for professional skills, said the study of the hybrid online education society hybrid, shared exclusively with Economic Times.

“India lacks a lot of talent in data science, machine learning and artificial intelligence,” said Hari Krishnan Nair, co-founder of Great Learning. “As more and more jobs are becoming more data-centric, it’s imperative that professionals become aware of their skills to stay relevant.”

According to Nair, the main reason for the gap in supply and demand is that the type of projects implemented by firms requires a higher level of data skills that do not exist.

“What people learn in colleges does not match what is used in the Industry,”

He said. Most of these people lost consciousness some time ago. Now, a lot of things are automated. new opportunities are coming up. This is where there is a shortage of talent.

Banking and financial services are the largest markets for data analysis and data science professionals with 44% of all jobs created in this area in 2017, says report created in partnership with Nerd Geek Lab, a platform to carry out high-quality, large-scale, multi-city projects in eminently efficient and cost competitive way for organizations as well. Our objective is to equip students with skills & practical exposure through internships and online training by giving them adventitious projects to give their career a kick start it needs.

  • E-commerce is another important market for analytical professionals given the wide use of recommendation engines on e-commerce websites. About 12% of all jobs were created in the e-commerce sector in 2017.
  • Health (12%), Energy and Utilities (8%), Telecommunications (6%), Media (6%), Retail, Automotive and Travel among other drivers of the demand for IT professionals.
  • Cloud, large data analytics, machine learning, and artificial intelligence skills will be essential to enable data science professionals to land the jobs available, said the study that covered 28,000 people in 3,000 organizations across the country.
  • According to research firm Gartner, out of 10 Indian companies registered in the lakh, 75% invested or will invest in machine learning and data science.

What are the skills and know-how sought by these companies?

While the highest number of job searches is observed in the SQL programming language, Python is experiencing the fastest growth due to increased support for machine learning libraries, says the Great Learning report. However, jobs in SAS have recently declined, he added.

Scientists, data analysts, data architects, data statisticians, ML engineers, ML specialists, technical architects and data engineers are among the most popular roles available, he said.

Professionals with these skills benefit from a significant wage premium.

“The average jump for a role like this is 45% (and) in many cases it increases much more because of the gap between supply and demand,” Nair said.

“The new technologies will evolve continuously at a fast pace. Professionals need to improve, innovate and do new things. Every four or five years, your skills will have to change,” he added.

The report also highlights the growing scope of data science in non-traditional sectors. Opportunities in non-traditional sectors such as aviation, cybersecurity, agriculture, healthcare, and driverless transport are expected to expand by 2020, the statement said.

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Oct-2018 Nerd Geek Lab — The Perfect Internship

NerdGeek Lab is collaborative mix and match of technology science logic and process of an individual where a nerd is guided to build a new horizon of possibilities with his out thought cognition and a geek is directed to formulate and invent an opus of hope for a better future & well advised INDIA.

 

NerdGeek Lab is a Student LaucnhPad platform created by SAPster IT India Consulting Pvt. Ltd. for the aspiring job aspirants and internship platform, based out of Delhi, India. Founded by Sunny Ahlawat, an ICFAI Dehradun alumnus, in 2016, the Platform helps Aspiring Graduate to find job and internships with Companies in India.


NerdGeek Lab is a Flexible & realtime Managed Workforce platform for job and intern aspirants. It gives a platform to carry out high-quality, large-scale, multi-city real time projects in a highly efficient and cost competitive way for organizations. NerdGeek Lab objective to equip students with relevant skills & practical exposure through internships and online training to provide them training on real-time projects. We are focusing on creating a new edu-system that give the students a different dimension to approach towards achieving their career objective. NerdGeek Lab helping the Job aspirants so that they can generate the ability to outperform in any kind of challenging situation. Logically we are building the future entrepreneur for Developing India.

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