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Impacts: Covid-19 & Water Utilities

The COVID-19 pandemic’s lasting impact continues to strain utilities across the globe, but the Water and Sanitation Sector has had to face unique challenges. Frequent and proper handwashing is the most basic frontline defense against the spread of COVID-19, yet a quarter of the world’s population lacks access to reliable water supplies.

According to the United Nations, nearly one-third of people globally lack access to safely managed drinking water services, over half lack access to safely managed sanitation facilities and in the least-developed countries, approximately 22% of healthcare facilities lack access to improved water and sanitation services. This is the result of a combination of challenges the water sector faces, however utilizing digital technologies are at the forefront to tackling these challenges. Digital Technologies, especially artificial intelligence solutions like Maestro, will be critical in accelerating the path towards meeting the Sustainable Development Goal 6– ‘Ensuring availability and sustainable management of water and sanitation for all by 2030’.

Revenue losses, as a result of COVID-19, have significantly slowed water utilities’ ability to make critical capital investments. Large industrial and commercial users of water slowed their usage as a result of the lockdowns. A survey by Global Water Leaders Group estimates that industrial water demand will fall by an average of 27% due to COVID-19. Crisis emergency measures, including partial suspension of bills for lower-income users and moratoriums on water cut-offs, have also led to a meaningful revenue loss for global water utilities.

While the decrease in industrial use of water may have had a positive impact on our global net zero goals, revenue losses have caused even further delay to the water sector’s infrastructure and digital upgrading. In some cases, to counteract the revenue losses, certain plants have had to delay critical infrastructure and maintenance upgrades. For example, in early May 2021, a former phosphate processing plant, Piney Point, in Palmetto, FL, was facing the potential of a catastrophic failure as a result of a leak. Piney Point has been a risk to the local environment of the Tampa Bay for at least 10 years, due to inadequate overflow procedures but in this case the leak that was identified could have lead to a catastrophic flood.

Source: USA Today

The leak was identified by personnel at least a few days after it had begun. This delay in leak identification, aided by reduced head count and maintenance expenditures as a result of COVID-19, could have been prevented with the use of Artificial Intelligence technology, such as Maestro. With the help of advanced metering, Maestro is able to detect leaks in real time and even predict potential weak spots all with the ability to automate a directive to solve the challenge, in an instant.

The intense labor requirements of the water industry made operational continuity difficult during the COVID-19 pandemic. While many employees were deemed essential workers, social distancing protocols meant only critical staff could be on site, causing major supply chain and logistic disruptions. This makes the water industry a prime candidate for increased automation and artificial intelligence. We have seen that the plants with existing enhanced metering and controls systems prior to the COVID-19 pandemic performed much better during the crisis. Artificial Intelligence’s ability to predict and automate response to occurrences such as leaks and pipe bursts make water utility providers more agile and efficient while decreasing physical interaction amongst staff.

The water sector, which is used to a consistent demand, especially for chemicals and other consumables, has experienced one of the most serious interruptions in the overall utilities sector. With the help of digital technologies, especially artificial intelligence, the water sector can work towards addressing gaps in water supply, build a more resilient long-term CAPEX structure, increase continuity and respond better in the event of future crises. Additionally, the use of digital and artificial intelligence will allow the water sector to achieve the Sustainable Development Goal-6 by the target date of 2030, possibly even in advance of it.

Elutions has extensive experience deploying Maestro technology in the water sector, in clean capture, waste water and even desalination. Acciona Qatar is just one instance of a water utility harnessing the power of Maestro to optimize operations and achieve energy savings, thusly lowering their carbon footprint. Acciona cites Maestro as a platform that is, “scalable, which will allow ACCIONA to extend the benefits of AI to all its clients in the global water industry as part of its commitment to continuous innovation and service excellence.”

To learn more about what Maestro AI and Elutions can do for your corporation, contact us.

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Oil & Gas Giants: U.S. O&G Market: Shale, Policy Change & Artificial Intelligence

The United States’ Oil & Gas Industry has been steadily growing since the 2008 Recession – in large part due to the “Shale Revolution”. A Federal Reserve study showed that the shale industry was responsible for driving “10 percent of the growth in the U.S. economy’s gross domestic product from 2010 to 2015,” significantly aiding the United States’ rebound from the recession. The Shale Revolution has afforded the U.S. the opportunity to be less dependent on overseas oil and to drive growth in stateside natural gas production allowing the U.S. to rise to the top of the Liquified Natural Gas exporters globally.

As the U.S. continues to look away from imports and focus its efforts on domestic production for the future, all eyes are on shale. According to the U.S. Energy Information Administration, shale accounts for at least 40% of U.S. dry natural gas production.

FIGURE 1 The shale revolution Permian • Appalachian • Eagle Ford Bakken Jan 2012 Haynesville • Anadarko Niobrara — Oil share O c o O O 25 20 15 10 5 0 Jan 2007 US shale 45 % 40% 35% 30% 25% 15% c o O c o c u Jan 2008 Jan 2009 Jan 2010 Jan 201 1 Jan 2013 Jan 2014 Jan 2015 O Jan 2016 Jan 2017 Jan 2018 Jan 2019 production was 10% of the world's daily oil consumption in 2018. Economic value added by the US shales since 2006 is of Nigeria's 201 8 GDP. Number of new firms that entered the US shale business in the past decade is 1.8)( of all newly listed companies on the LSE in 2018. O C02 emissions avoided due to the shale gas boom during 2006-18 is 1.8)( of total emissions from South and Central America in 2018. Note: Economic value added by the mining sector in the United States is used as a proxy to highlight the economic impact of shales. Sources: US Energy Information Administration, Drilling Productivity Report, July 201 9; US Energy Information Administration, "US energy-related C02 emissions expected to rise slightly in 201 8, remain flat in 201 9," February 8, 201 8; IMF 201 8 World Economic Outlook. Deloitte Insights I deloitte.com/insights
Source: Deloitte

How have U.S. exports been impacted by COVID-19 as a whole?

Fortunately, the U.S. gas exports are less susceptible to volatile markets because of the nation’s swing supplier status coupled with contracts that allow for scrapped deliveries. World Oil reports that, “American gas exports are rising to fresh records every month as new facilities come online,” but particular attention must be paid to trade relations between the US & China as, “China is the fastest-growing LNG importer, and the U.S. is ramping up exports.”

However, the shale industry has not been entirely immune to the negative impacts of COVID-19, particularly decreased demand. Deloitte’s suggestions for navigating the great compression in shale oil production was for operators to, “work with their vendors to not only automate and digitize operations to realize new savings, but also to shorten value chains and create new pathways for the impending energy transition.” Automating and digitizing to realize savings is critical to the long-term success of the US as a top O&G exporter and, as a relative newcomer on the global O&G stage, the U.S. has the unique opportunity to be on the cutting edge with speed to adoption of digital. 


The change in administration, and President Biden’s ambitious efforts on climate change, represent a much bigger risk to U.S. Oil Production than the effects of COVID-19.

US oil production under a Biden government Million barrels a day — No drilling — With federal drdling 201 q aoao 2021 aoaa 2023 SSP
Source: S&P

With President Biden’s impending plans to cut US oil production, in favor of more environmentally friendly and sustainable energy production, the U.S. O&G Industry must brace for economic and employment impacts. Supply constraints will cause a significant financial issue for producers as a result of President Biden’s suspension of “the sale of oil and gas leases on federal land, where the U.S. gets 10% of its supplies.”

How will producers be able to rebound from this supply and labor constraint?

They must turn to digital in order to extract savings from their existing value chain.

Deloitte reports that more than 70% of global traditional jobs in the O&G market that were lost as a results of COVID-19 may not return by 2021 if the industry does not make changes. According to oil industry leaders, Biden’s policy to decrease drilling activity in offshore federal waters will, “satisfy a few special interest groups [and will ultimately] end up producing more global emissions while killing thousands of high-paying American jobs.”

As we face increasing uncertainty around workforce conditions due to COVID-19, the need for process automation increases drastically. In order to cope with policy change and COVID-19, not just in the U.S. but also the global O&G industry, margin improvement and the future of work must be addressed through the implementation of Artificial Intelligence. 

Artificial Intelligence provides an immediate solution to workforce displacement for continued operations while implementing benefits such as downtime reduction and reduced fuel consumption.

Value chain optimization is key for the shale industry’s continued growth and ability to stabilize regardless of the current demand deficit and restrictions from President Biden’s administration. Aside from well-design, a popular area for mid-stream optimization efforts, there are a host of other measures that holistic Artificial Intelligence, like Maestro AI, can address within the mid-stream value chain. Maestro increases profitability in O&G by solving key operational challenges across the value chain through an unrestricted ability to dynamically observe, evaluate, compare and control real-time operational performance, ensuring maximized production that exceeds quality standards, increasing yield while minimizing resource consumption.

To learn more about Maestro and individual case studies in the Oil & Gas sector, please contact us. 

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Digital Transformation, Artificial Intelligence and the Chemical Industry

In the previous articles in this series, we discussed the importance of the Chemical Industry to the global economy and how that industry is poised to benefit tremendously from digitization. Digitization is a vast concept, it encompasses everything from advanced analytics and process controls through to Artificial Intelligence and full automation. Although many experts agree that digitization is critical for the future of the industry, what exactly that means in a business application remains to be seen.

STEPS TO BRING DIGITAL TRANSFORMATION IN THE CHEMICAL INDUSTRY ORGANIZATION AND TECHNOLOGY DIGITALIZE THE ENTERPRISE REGULATION ECOSYSTEM COLLABORATION CYBER SECURITY WORKFORCE AUTOMATION AND ROBOTICS INDUSTRIAL 10T CULTURAL CHANGE NEW BUSINESS MODEL BRING THE WORKFROCE INTO THE DIGITAL AGE RIGHT DIGITAL STRATEGY CHEMICAL SALES IN 2016 €3.5 trillion NIO million PEOPLE EMPLOYED IN THE INDUSTRY USING ADVANCED TECHNOLOGY CONTRIBUTION OF THE INDUSTRY TO GLOBAL GDP €6.9 trillion RECAST CHEMICALS SALES IN 2030 THE IMPORTANCE INDUSTRY -100.000 CHEMICALS ON THE ENSURE CYBERSECURITY ENSURE REGOLATORY & HARMONIZE POLICIES CHANGING THE MINDSET STRENGTHENING KEY AREAS ARTIFICIAL INTELLIGENCE CLOUD MOBILITY CONVERGENCE AND DEVICES PLATFORMS AND APPLICATIONS BIG DATA ANALYTICS 90% EVERYDAY PRODCUTS CONTAINING CHEMICALS O PINPOOLS Wm.".pinpools.com MARKET TODAY CONTINU S DEVELOPMENT MANAGEMENT o PROFITABLE OPERATIONS INNOVATION PROCESS OPTIMIZATION BETTER SUPPLY CHAIN MANAGEMENT INCREASE PRODUCTIVITY SOURCE: WOLRo Econowc FORUM • 01GlT,u TRANSFORMATION 'NIATr.'E
Source: Pinpools

Industrial digital transformation represents a host of possibilities, whether it’s a reference to digital technologies applied in various levels of the process, to the entire process or even to the entire estate. For the purpose of this article, at a process level, Chemical Manufacturing and Artificial Intelligence will be the main focus of digitization in chemicals. Transformational benefits such as increased margins, reduced downtime, sustainable business practices, and more are all achievable in chemical manufacturing through the application of Maestro Artificial Intelligence.

For many corporations it may be tempting to apply digital technologies such as Artificial Intelligence, at a plant level or in an ad hoc basis and while benefits can certainly be achieved this way, in order to be truly transformative, from our years of experience, estate wide application is a necessity. Estate wide application allows for a full picture of the process rather than a point in time, isolated view of the equipment. The estate wide view gives way to a true understanding of how upstream and downstream processes impact the entirety of production.

The adoption of Artificial Intelligence across the entire estate is pivotal to the growth strategy of industrial chemical manufacturing and to their ability to combat digital-led disruption in end markets.

Long term consequences from the adoption of digital in other industries is being predicted to cause a large ripple effect in chemicals. The ripple effects can be positive or negative, take the following example: Digital technologies applied to the automotive value chain will have tremendous impact on the demand for production of chemical coatings as the dawn of driverless cars is set to increase safety on the roads and decrease the needs for chemical coatings. While a world filled with driverless cars may seem like a distant future, Chemical Manufacturers that produce these coatings need to begin planning for this disruption by applying digital now in order to survive in the future.

We have all learned many lessons about the uncertainty of the future, especially due to the impacts of the global COVID-19 pandemic, which manufacturers have suffered extensively from. Where have manufacturers turned in order to correct the course? Digitization. An internal research study revealed that the largest drivers for digitization in the chemicals industry are workforce, changes in utilities/ energy costs, COVID-19 related changes, growth strategy and global industry pressures.

Source: Internal Research

Financial incentive alone, derived from increased production, decreased downtime etc., is a significant reason to go digital. Additional benefits relating to sustainability such as reduced energy consumption and hazardous waste are also key drivers. Reduced research and development cycles are another fantastic benefit that comes from digitization.

The above drivers are the “why” that is causing Chemical Manufacturers to adopt digital technologies at increased rates. But how can they drive benefit, adopt solutions quickly and do it all at scale? 

The most important decision in adopting Artificial Intelligence and digitizing is choosing the partner that will transform business operations.

A true partner, like Elutions, will work with the business to establish clear targets, quantify the benefit, develop a governance plan, create a bespoke solution for targeted needs, prioritize speed to benefit and above all remain committed to future growth and surpassing designated targets and goals. Digitization in chemical manufacturing is not a “one size fits all.” Businesses deserve a partner that understands that and is experienced in working together to create the perfect fit.

To learn more about specific case studies of Maestro Artificial Intelligence applied, please contact us.

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AI & COVID-19: Safely Back to School

As we enter September, in one of the strangest years to date, COVID-19 has infiltrated nearly every facet of our everyday lives. When people leave their homes, it is normal to grab keys, cellphone, wallet and now a mask. For most, the changes have simply become the new routine. But one of the biggest disruptors caused by COVID-19 is in the return to campus for many college students. This results in colossal questions being asked, and one extremely important question:

How can we ensure the protection of our student-body, faculty and staff braving the return to college campuses across the globe?

Recently, the World Health Organization (WHO) released that “…current evidence suggests that COVID-19 spreads between people through direct, indirect (through contaminated objects or surfaces), or close contact with infected people via mouth and nose secretions. These are released from the mouth or nose when an infected person coughs, sneezes, speaks or sings, for example.” We recognize that the spread of COVID-19 is an Airborne illness and yet, if colleges are to re-open this fall as many already have, how can we protect the integrity of the open, constructive in-person dialogue that many classrooms thrive upon? The answer exists, partially, in making the environment on campus the healthiest for all, limiting the spread of COVID-19.

According to the WHO, many reported outbreaks of COVID-19 share their occurrence in “closed settings, such as restaurants, nightclubs, places of worship or places of work where people may be shouting, talking, or singing.” Additionally, the lack of social-distancing in practice and lack of mask wearing increased the rate of the spread and we’ve seen in many States bars and restaurants closing again to contain outbreaks. One of the most important things to pay attention to regarding these outbreaks and the future spread is this statement from the WHO,

“In these outbreaks, aerosol transmission, particularly in these indoor locations where there are crowded and inadequately ventilated spaces where infected persons spend long periods of time with others, cannot be ruled out.”

The World Health Organization

Beyond wearing a mask, social distancing and lowering the capacity of contained spaces, the physical environment of the classroom and broader spaces can have a profound effect on the virus’ ability to spread. We acknowledge that this is one of the keys leading to the decreased spread of COVID-19 on the College Campuses, increasing the safety for all. In fact, we are currently working with esteemed universities to prepare their shared spaces for the return of activity on campus.

For years, our team has followed the gold star of industry standard guidelines from the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) and other international equivalents in our work on campuses and beyond. ASHRAE published a report in April of 2020 to rebut some false statements regarding HVAC and also put out a full statement with guidelines regarding the optimal HVAC conditions to decrease the spread of COVID-19.

In their reports, ASHRAE specifically stated the following, “Transmission of SARS-CoV-2 through the air is sufficiently likely that airborne exposure to the virus should be controlled. Changes to building operations, including the operation of heating, ventilating, and air-conditioning systems, can reduce airborne exposures.” This is not only pivotal to the re-opening of college campuses but in all industries where offices are re-opening for example, busy sales floors at large corporations or call centers where many people are talking all day long in close quarters.

In relation to universities and colleges specifically, our team works with facilities teams to automate implementation of the guidelines set by ASHRAE’s Epidemic Task Force. The new guidelines for COVID-19 are vast and the automated implementation by Maestro allows for facilities teams to focus on non-COVID-19 related projects. While Maestro’s core remains to reduce operational and energy spend, our team is passionate about making the working environment as safe as possible for students, faculty and staff to return to this fall.

With Maestro, it is possible to return to safer classrooms and offices, all while achieving significant energy and maintenance cost reduction opportunities through automated, no-cost measures across the campus, eliminating the need for direct human interaction with the University’s assets.

Contact us to learn how Maestro can make your campus a safer place to return to.

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Virtual CogX: The Festival of AI & Breakthrough Technology

Elutions is proud to announce their Lead Partnership of The CogX Global Leadership Summit and Festival of AI & Breakthrough Technology, June 8th- June 10th. In a world that is constantly in flux to adapt to impacts of COVID-19, CogX made the difficult decision to virtualize their event. We fully align with this decision as they themselves said,

“There are important, and in some cases urgent, topics to discuss: both the immediate challenges presented by COVID-19, and to play our part in helping restart the economy by connecting, collaborating and supporting each other.”

Relevant, now more than ever, is CogX’s 2020 Event Theme- How Do we Get the Next 10 years Right? Outlined below are the ways in which the conference aims to address this massive question:

– Move the conversation forward with concrete actions

– Reframe the climate emergency as the biggest economic opportunity in the last 200 years

–Increase understanding of the current Covid-19 pandemic and champion innovative solutions

The global pandemic has allowed many of us, corporations and individuals, to pause and re-evaluate what the next ten years will look like. It is clear now that the businesses that successfully and swiftly adopt to automated, autonomous applications of AI and rethink their business models will be the ones realizing a competitive advantage.

We will be hosting a virtual expo booth across the three days, June 8th through June 10th, where attendees can reach out to our team to learn more. We will also be hosting virtual lunch and learns, happy hours, and coffee chats. Our Managing Director of EMEA, Jamie Devlin, will also be a featured speaker on Industry 4.0 and sustainable supply chain, Monday, June 8th, 5pm BST (12pm EST).

For a limited time, we are offering our readers, interested in attending our speaking events, the chance to receive a Gold Pass, free of charge. Please click here and provide your full name, title at your company, email address and phone number to receive a Gold Pass.

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AI & COVID-19: Stabilize & Survive

In the midst of the COVID-19 pandemic, why are corporations accelerating rather than delaying their digital transformation initiatives? The pandemic’s unprecedented impact on demand, workforce, supply chain, short-term costs and liquidity has forced corporations to take immediate, strategic action to maintain operations. In exploring their means of stabilization and survival, corporations found that Artificial Intelligence is uniquely positioned to ensure business continuity in the short-term, with its proven value in improving employee safety & security, short-term costs and liquidity.

While no industry has proven immune to the pandemic, the depth and breadth of its disruption in the manufacturing vertical clearly demonstrates why corporations have adopted transformational technologies over traditional solutions to beat COVID-19. Manufacturers have felt the acute pressure of COVID-19 in their plants and across their value chains.

  • Demand: Sharp declines in demand across non-essential product segments have disrupted each step of the value chain, driving significant earnings adjustments; essential goods producers are struggling to continue operations with heightened risk, and to satiate demand with unprecedented operating and supply chain limitations.
  • Supply Chain: Despite the geographic diversity of supplier networks, sudden overseas supplier shutdowns and domestic fulfillment delays have disrupted if not halted downstream activity, depleting on-hand inventory, prompting a rapid search for market alternatives, and driving material and part shortages, price increases, and an expected spike in upstream transportation costs as restrictions lift.
  • Workforce: Rapid adoption of new distancing protocols, shift structures and offsite resourcing arrangements have ensured employee safety & security, but constrained operating efficiency, quality, throughput and yield; deferred critical asset maintenance and replacement have increased downtime risk and may increase mid-term CAPEX obligations.
  • Short-Term Costs: Essential and non-essential product manufacturers have made significant adjustments to minimize variable costs, maintain business operations, and operate in an environment of significant macroeconomic and trade policy uncertainty, including layoffs, furloughs and temporary plant closures.
  • Liquidity: With strong macroeconomic headwinds, demand and supply side disruption, and constrained operational agility, liquidity is a principal concern of manufacturers that will not be alleviated at the moment restrictions are lifted, but gradually as the supply chain and broader economy rebound.

How is Artificial Intelligence empowering corporations with substantial value chain disruption to act fast and weather the storm?

Elutions’ highly-automated and autonomous Artificial Intelligence solution, Maestro, leverages historical data, deploys rapidly and delivers immediate improvements in safety & security, short-term costs and liquidity. The following Artificial Intelligence use cases are paramount to ensuring business continuity in manufacturing.

  • Remote Operability, Operational Automation & BEP Adherence: By enabling remote asset and process control, visualization and planning, and automated system-driven asset and process optimization, corporations ensure operational continuity, resilience and efficiency, improving employee safety & security, reducing labor requirements and operating costs, and increasing cash-on-hand.
  • In-Line Quality Assurance & Scrap Reduction: By enabling automated quality prediction and dynamic operating parameter adjustment at each stage of production, manufacturers autonomously ensure end-product quality, minimize scrap and rework, and optimize the Unit Cost of Production as conditions change, improving operating margins, yield (revenue), and liquidity through minimized waste.
  • Dynamic Downtime Prevention & Predictive Preventative Maintenance: By enabling dynamic, system-driven alternate control sequencing in the event of a sensor, asset or process failure, corporations autonomously avoid unplanned downtime, associated repair and replacement costs, and foregone revenue. With system-driven Predictive Preventative Maintenance and automated Work Order creation, corporations minimize downtime and production risk, extend asset use life, generate significant savings through right-time, right-size maintenance, and improve safety & security through truck-roll consolidation.
  • Market, Demand & Capacity Driven Procurement & Inventory Management: By continuously predicting raw material costs, sales and capacity alongside the live environment, and enabling automated procurement and IM directives, corporations optimize operating productivity, inventory levels, and the margin value of Inventory on-hand. Similarly, by continuously predicting replacement part costs, process demand alongside forecasted utilization, and automating replacement part purchasing, corporations optimize part inventory levels, reduce short-term costs and improve liquidity.

Beyond short-term survival, corporations have placed their bets on Artificial Intelligence to thrive in the mid-to-long-term. Stay tuned for more market intelligence on how AI is helping corporations build resilience and optimize operations.

Up Next for NCW: Digitization and Chemical Manufacturing

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Robotics: Automation or Artificial Intelligence?

The rise of robotics – a long touted seismic shift in human existence, the day an inanimate creature is brought to life.  A scary reality in the minds of many conspiracy theorists, and a reality many tech leaders would have us believe is already upon us.  But how close are we to engineering a robotic race?

“Who controls the past controls the future. Who controls the present controls the past.”

― George Orwell, 1984

It’s difficult to not think about physical robots tackling common human tasks when we see the word robotics, but now robotics refers to a much larger application of technology and rising industry. Robotics refers to a focus on creating efficiency and replicating mundane tasks, a world that exists beyond purely physical robots, giving rise to automation bots.

Robotic Process Automation (RPA) is an example of an automation bot operating in a digital world. You may be thinking, obviously it’s automation, it’s even in the name, but what is RPA? Used to perform simple, repetitive tasks, such as data entry, RPA is a programmable “bot” that automates a process in order to free up more time for humans that would otherwise be doing these mundane tasks. RPA cannot be considered Artificial Intelligence as it does not have the ability to understand the implications of the tasks it is performing, or predict future scenarios arising from the performance of these tasks.

Amazon Scout

In contrast, Amazon’s Scout is out on the streets in California, a physical robot, making package deliveries.  This Scout robot may be physical and operate in the real world but similarly to RPA it is another example of automation, lacking human intuition. Just like RPA this Scout robot is programmed to deliver a package straight to your door, removing this repetitive task, lessening the burden on man and machine, but the bot is not capable of modifying the delivery location to the back door under the overhang when rain is predicted, unless the delivery instructions are explicitly programmed to do so.  Far from artificial intelligence, the Scout is simply a machine programmed to automate a repetitive human function.

While individuals commonly mistake robotics as artificial intelligence, it’s important to understand why RPA and delivery robots are not examples of true artificial intelligence. Are they intelligent bots? Maybe. They certainly process and execute complicated instructions and factor many variables, but they lack inherent cognitive function.  Humans are constantly concerned about the demise of humanity as robots are brought to life, but because artificial intelligence still lacks the ability to replicate common sense, the rise of the robotic race will still remain in the halls of science fiction.

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