Signify – Signify unveils white paper with Climate Group

EMR Analysis

More information on Signify: See the full profile on EMR Executive Services

More information on Željko Kosanović (Member of the Board + Chief Financial Officer + Senior Vice President, Group Controller + Interim Chief Executive Officer, Signify): See the full profile on EMR Executive Services

More information on Alice K. Steenland (Member of the Leadership Team, Chief of Strategy, Sustainability and Marketing, Signify): See the full profile on EMR Executive Services

More information on the Sustainability Program (Brighter Lives, Better World 2025) + The Climate Transition Plan 2040 by Signify: See the full profile on EMR Executive Services 

More information on Maurice Loosschilder (Head of Sustainability, Signify): See the full profile on EMR Executive Services

 

More information on The Signify Foundation by Signify: https://www.signify.com/global/our-company/signify-foundation + The Signify Foundation has been working with its partners to bring light and opportunities to people who aspire to create a brighter future.

At the Signify Foundation, we believe in the transformative power of light. The flick of a switch catalyses dark spaces into brighter ones that enable learning, healing, and creativity. Yet, for over 750 million people worldwide, reliable access to electrical lighting remains a distant dream.We are committed to bringing sustainable lighting solutions to underserved communities. By bridging the gap in access to light, we envision a world where everyone benefits from the power of light. 

More information on Harry Verhaar (Global Head of Brand, Communication & Marketing, Signify + Chair of the Board, the Signify Foundation Board, Signify): See the full profile on EMR Executive Services

 

 

More information on The Climate Group: https://www.theclimategroup.org + We’re an international non-profit founded in 2003, with offices in London, New York and New Delhi.

In that time, we’ve grown our network to include over 300 multinational businesses in 140 markets worldwide. The Under2 Coalition, for which we are the Secretariat, is made up of over 260 governments globally, representing 1.75 billion people and 50% of the global economy.

More information on Helen Clarkson (Chief Executive Officer, The Climate Group): https://www.theclimategroup.org/helen-clarkson + https://www.linkedin.com/in/helenclarkson/ 

More information on EP100 by The Climate Group: https://www.theclimategroup.org/about-ep100 + EP100 is a global corporate energy efficiency initiative, led by Climate Group, bringing together over 100 ambitious businesses committed to improving their energy efficiency. 

EP100 members are committed to doubling their energy productivity, rolling out energy management systems, or achieving net zero carbon buildings. Through public commitments, and driving towards those targets, companies can show climate leadership and send a powerful signal to policymakers and other businesses about the enormous climate potential of energy efficiency.

 

 

More information on the United Nations Framework Convention on Climate Change (UNFCCC): https://unfccc.int/ + The UNFCCC secretariat (UN Climate Change) is the United Nations entity tasked with supporting the global response to the threat of climate change.  UNFCCC stands for United Nations Framework Convention on Climate Change. The Convention has near universal membership (198 Parties) and is the parent treaty of the 2015 Paris Agreement. The main aim of the Paris Agreement is to keep the global average temperature rise this century as close as possible to 1.5 degrees Celsius above pre-industrial levels. The UNFCCC is also the parent treaty of the 1997 Kyoto Protocol. The ultimate objective of all three agreements under the UNFCCC is to stabilize greenhouse gas concentrations in the atmosphere at a level that will prevent dangerous human interference with the climate system, in a time frame which allows ecosystems to adapt naturally and enables sustainable development.

More information on Simon Stiell of Grenada (Executive Secretary, UNFCCC): https://unfccc.int/about-us/the-executive-secretary + https://www.linkedin.com/in/simon-stiell/ 

More information on the Nationally Determined Contributions (NDCs) by the United Nations Framework Convention on Climate Change (UNFCCC): https://unfccc.int/process-and-meetings/the-paris-agreement/nationally-determined-contributions-ndcs + Nationally determined contributions (NDCs) are at the heart of the Paris Agreement and the achievement of its long-term goals. NDCs embody efforts by each country to reduce national emissions and adapt to the impacts of climate change. The Paris Agreement (Article 4, paragraph 2) requires each Party to prepare, communicate and maintain successive nationally determined contributions (NDCs) that it intends to achieve. Parties shall pursue domestic mitigation measures, with the aim of achieving the objectives of such contributions.

NDCs are submitted every five years to the UNFCCC secretariat. In order to enhance the ambition over time the Paris Agreement provide that successive NDCs will represent a progression compared to the previous NDC and reflect its highest possible ambition.

 

More information on COP28 – Climate Change Conference (30 November to 12 December 2023, Dubai, United Arab Emirates): https://www.cop28.com/ + The 28th session of the Conference of the Parties (COP 28) to the UNFCCC convened from 30 November to 12 December 2023. It took place in the United Arab Emirates. 

In the three decades since the Rio Summit and the launch of the United Nations Framework Convention on Climate Change (UNFCCC), the Conference of the Parties to the Convention (COP) has convened member countries every year to determine ambition and responsibilities, and identify and assess climate measures. The 21st session of the COP (COP21) led to the Paris Agreement, which mobilized global collective action to limit the global temperature increase to 1.5C above pre-industrial levels by 2100, and to act to adapt to the already existing effects of climate change.

More information on Dr. Sultan Ahmed Al Jaber (President-Designate, COP28 UAE + Minister of Industry and Advanced Technology, UEA + Managing Director and Group Chief Executive Officer, ADNOC): https://www.cop28.com/en/cop28-presidency#leadership + https://www.linkedin.com/in/dr-sultan-al-jaber/ 

 

More information on COP30 – Climate Change Conference (10th till 21st of November 2025, Belém, Brazil): https://cop30.br/en  + The Conference of the Parties (COP) is the largest global event for discussions and negotiations on climate change. The meeting is held annually, with the presidency rotating among the five regions recognized by the United Nations.

In 2025, Brazil will have the honor of hosting the 30th Conference of the Parties (COP30), which will take place in Belém, Pará. The chosen city will provide the world with a unique platform to discuss climate solutions, firmly rooted in the heart of the Amazon.

As the host country, Brazil is committed to strengthening multilateralism and fostering consensus on global targets to reduce greenhouse gas emissions that contribute to the warming of the planet.

More information on Ambassador André Corrêa do Lago (President, COP30 Brazil + Vice-Minister for Climate, Energy and Environment, Ministry of Foreign Affairs, Brazil): https://cop30.br/en/brazilian-presidency 

 

 

More information on IEA (International Energy Agency): https://www.iea.org + The IEA is at the heart of global dialogue on energy, providing authoritative analysis, data, policy recommendations, and real-world solutions to help countries provide secure and sustainable energy for all.

The IEA was created in 1974 to help co-ordinate a collective response to major disruptions in the supply of oil. While oil security this remains a key aspect of our work, the IEA has evolved and expanded significantly since its foundation.

Taking an all-fuels, all-technology approach, the IEA recommends policies that enhance the reliability, affordability and sustainability of energy. It examines the full spectrum issues including renewables, oil, gas and coal supply and demand, energy efficiency, clean energy technologies, electricity systems and markets, access to energy, demand-side management, and much more.

Since 2015, the IEA has opened its doors to major emerging countries to expand its global impact, and deepen cooperation in energy security, data and statistics, energy policy analysis, energy efficiency, and the growing use of clean energy technologies. 

More information on Dr. Fatih Birol (Executive Director, International Energy Agency): https://www.iea.org/contributors/dr-fatih-birol + https://www.linkedin.com/in/fatih-birol/ 

 

 

 

 

 

 

 

 

EMR Additional Notes: 

• Negawatts:
  • Unit of electrical power saved, essentially a “watt of energy not used” due to energy conservation or efficiency improvements. It represents the amount of power that is avoided by using less electricity, for example, by reducing energy consumption through efficiency measures or behavioral changes. 
  • The term negawatt is derived from megawatt and was created by Amory Lovins (physicist and co-founder of the Rocky Mountain Institute). Lovins saw a typo — “negawatt” instead of “megawatt” — in a Colorado Public Utilities Commission report in 1989.

 

 

• Carbon Dioxide (CO2):
  • Primary greenhouse gas emitted through human activities. Carbon dioxide enters the atmosphere through burning fossil fuels (coal, natural gas, and oil), solid waste, trees and other biological materials, and also as a result of certain chemical reactions (e.g., manufacture of cement). Carbon dioxide is removed from the atmosphere (or “sequestered”) when it is absorbed by plants as part of the biological carbon cycle.
• Biogenic Carbon Dioxide (CO2):
  • Biogenic Carbon Dioxide (CO2) and Carbon Dioxide (CO2) are the same. Scientists differentiate between biogenic carbon (that which is absorbed, stored and emitted by organic matter like soil, trees, plants and grasses) and non-biogenic carbon (that found in all other sources, most notably in fossil fuels like oil, coal and gas).
• Decarbonization:
  • Reduction of carbon dioxide emissions through the use of low carbon power sources, achieving a lower output of greenhouse gasses into the atmosphere.
• Carbon Footprint:
  • There is no universally agreed definition of what a carbon footprint is.
  • A carbon footprint is generally understood to be the total amount of greenhouse gas (GHG) emissions that are directly or indirectly caused by an individual, organization, product, or service. These emissions are typically measured in tonnes of carbon dioxide equivalent (CO2e).
  • In 2009, the Greenhouse Gas Protocol (GHG Protocol) published a standard for calculating and reporting corporate carbon footprints. This standard is widely accepted by businesses and other organizations around the world. The GHG Protocol defines a carbon footprint as “the total set of greenhouse gas emissions caused by an organization, directly and indirectly, through its own operations and the value chain.”
• CO2e (Carbon Dioxide Equivalent):
  • CO2e means “carbon dioxide equivalent”. In layman’s terms, CO2e is a measurement of the total greenhouse gases emitted, expressed in terms of the equivalent measurement of carbon dioxide. On the other hand, CO2 only measures carbon emissions and does not account for any other greenhouse gases.
  • A carbon dioxide equivalent or CO2 equivalent, abbreviated as CO2-eq is a metric measure used to compare the emissions from various greenhouse gases on the basis of their global-warming potential (GWP), by converting amounts of other gases to the equivalent amount of carbon dioxide with the same global warming potential.
    • Carbon dioxide equivalents are commonly expressed as million metric tonnes of carbon dioxide equivalents, abbreviated as MMTCDE.
    • The carbon dioxide equivalent for a gas is derived by multiplying the tonnes of the gas by the associated GWP: MMTCDE = (million metric tonnes of a gas) * (GWP of the gas).
    • For example, the GWP for methane is 25 and for nitrous oxide 298. This means that emissions of 1 million metric tonnes of methane and nitrous oxide respectively is equivalent to emissions of 25 and 298 million metric tonnes of carbon dioxide.
• Carbon Capture and Storage (CCS) – Carbon Capture, Utilisation and Storage (CCUS):
  • CCS involves the capture of carbon dioxide (CO2) emissions from industrial processes. This carbon is then transported from where it was produced, via ship or in a pipeline, and stored deep underground in geological formations.
  • CCS projects typically target 90 percent efficiency, meaning that 90 percent of the carbon dioxide from the power plant will be captured and stored.
• Carbon Dioxide Removal (CDR): 
  • Carbon Dioxide Removal encompasses approaches and methods for removing CO2 from the atmosphere and then storing it permanently in underground geological formations, in biomass, oceanic reservoirs or long-lived products in order to achieve negative emissions.
• Direct Air Capture (DAC): 
  • Technologies extracting CO2 directly from the atmosphere at any location, unlike carbon capture which is generally carried out at the point of emissions, such as a steel plant.
  • Constraints like costs and energy requirements as well as the potential for pollution make DAC a less desirable option for CO2 reduction. Its larger land footprint when compared to other mitigation strategies like carbon capture and storage systems (CCS) also put it at a disadvantage.
• Carbon Credits or Carbon Offsets:
  • Permits that allow the owner to emit a certain amount of carbon dioxide or other greenhouse gases. One credit permits the emission of one ton of carbon dioxide or the equivalent in other greenhouse gases.
  • The carbon credit is half of a so-called cap-and-trade program. Companies that pollute are awarded credits that allow them to continue to pollute up to a certain limit, which is reduced periodically. Meanwhile, the company may sell any unneeded credits to another company that needs them. Private companies are thus doubly incentivized to reduce greenhouse emissions. First, they must spend money on extra credits if their emissions exceed the cap. Second, they can make money by reducing their emissions and selling their excess allowances.

 

 

• Kilowatt (kW):
  • A kilowatt is simply a measure of how much power an electric appliance consumes—it’s 1,000 watts to be exact. You can quickly convert watts (W) to kilowatts (kW) by diving your wattage by 1,000: 1,000W 1,000 = 1 kW.
• Megawatt (MW):
  • One megawatt equals one million watts or 1,000 kilowatts, roughly enough electricity for the instantaneous demand of 750 homes at once.
• Gigawatt (GW):
  • A gigawatt (GW) is a unit of power, and it is equal to one billion watts.
  • According to the Department of Energy, generating one GW of power takes over three million solar panels or 310 utility-scale wind turbines
• Terawatt (TW):
  • One terawatt is equal to 1,000,000,000,000 watts.
  • The main use of terawatts is found in the electric power industry.
  • According to the United States Energy Information Administration, America is one of the largest electricity consumers in the world using about 4,146.2 terawatt-hours.

 

 

• Grid, Microgrids, DERs and DERM’s:
  • The power grid is a network for delivering electricity to consumers. The power grid includes generator stations, transmission lines and towers, and individual consumer distribution lines.
  • The grid constantly balances the supply and demand for the energy that powers everything from industry to household appliances.
  • Electric grids perform three major functions: power generation, transmission, and distribution.
  • A microgrid is a small-scale power grid that can operate independently or collaboratively with other small power grids. The practice of using microgrids is known as distributed, dispersed, decentralized, district or embedded energy production.
  • Smart Grid is any electrical grid + IT at all levels . Micro Grid is a group of interconnected loads and DERs (Distributed energy resources) within a clearly defined electrical and geographical boundaries witch acts as a single controllable entity with respect to the main grid.
  • Distributed energy resources (DERs) are small-scale electricity supply (typically in the range of 3 kW to 50 MW) or demand resources that are interconnected to the electric grid. They are power generation resources and are usually located close to load centers, and can be used individually or in aggregate to provide value to the grid.
  • Common examples of DERs include rooftop solar PV units, natural gas turbines, microturbines, wind turbines, biomass generators, fuel cells, tri-generation units, battery storage, electric vehicles (EV) and EV chargers, and demand response applications.
  • Distributed energy resources management systems (DERMS) are platforms which helps mostly distribution system operators (DSO) manage their grids that are mainly based on distributed energy resources (DER).
  • DERMS are used by utilities and other energy companies to aggregate a large energy load for participation in the demand response market. DERMS can be defined in many ways, depending on the use case and underlying energy asset.

 

 

• LED:
  • LED stands for light emitting diode. LED lighting products produce light up to 90% more efficiently than incandescent light bulbs. How do they work? An electrical current passes through a microchip, which illuminates the tiny light sources we call LEDs and the result is visible light.
  • A light-emitting diode is a semiconductor light source that emits light when current flows through it. Electrons in the semiconductor recombine with electron holes, releasing energy in the form of photons.
• LED vs. Halogen:
  • Halogen bulbs, while lasting longer than incandescent bulbs, only last up to 2,000 hours. In contrast, LED bulbs can last up to 25,000 hours, and LED tubes are rated for up to 50,000 hours. LED bulbs can use as much as 80% percent less energy than halogen bulbs.
  • There’s obviously a clear winner when it comes to LED vs halogen lighting. LED lights are more energy-efficient, have a longer lifespan, and offer more choices in color temperature. They do cost a little more, but their extremely long lifespan easily offsets the higher upfront cost.
• microLED:
  • Compared to widespread LCD technology, microLED displays offer better contrast, response times, and energy efficiency. They are also capable of high speed modulation, and have been proposed for chip-to-chip interconnect applications.
  • MicroLED prototype displays have been shown to offer up to 10 times more brightness than the best OLED panel while being significantly more power efficient, making them an exciting new technology in the world of displays.
• OLED:
  • An Organic Light-Emitting Diode is a solid-state device consisting of a thin, carbon-based semiconductor layer that emits light when electricity is applied by adjacent electrodes. In order for light to escape from the device, at least one of the electrodes must be transparent.
  • OLED devices (television screens, computer monitors, and portable systems such as smartphones …) use LED technology and use an organic material as a light emitting layer. Organic LEDs can produce high quality displays with high contrasts, high viewing angles and true blacks. Some say that OLEDs produce the world’s best display panels.

 

 

• Global Warming: 
  • Global warming is the long-term heating of Earth’s climate system observed since the pre-industrial period (between 1850 and 1900) due to human activities, primarily fossil fuel burning, which increases heat-trapping greenhouse gas levels in Earth’s atmosphere.
• Global Warming Potential (GWP): 
  • The heat absorbed by any greenhouse gas in the atmosphere, as a multiple of the heat that would be absorbed by the same mass of carbon dioxide (CO2). GWP is 1 for CO2. For other gases it depends on the gas and the time frame.
  • Carbon dioxide equivalent (CO2e or CO2eq or CO2-e) is calculated from GWP. For any gas, it is the mass of CO2 which would warm the earth as much as the mass of that gas. Thus it provides a common scale for measuring the climate effects of different gases. It is calculated as GWP times mass of the other gas. For example, if a gas has GWP of 100, two tonnes of the gas have CO2e of 200 tonnes.
  • GWP was developed to allow comparisons of the global warming impacts of different gases.
• Greenhouse Gas (GHG):
  • A greenhouse gas is any gaseous compound in the atmosphere that is capable of absorbing infrared radiation, thereby trapping and holding heat in the atmosphere. By increasing the heat in the atmosphere, greenhouse gases are responsible for the greenhouse effect, which ultimately leads to global warming.
  • The main gases responsible for the greenhouse effect include carbon dioxide, methane, nitrous oxide, and water vapor (which all occur naturally), and fluorinated gases (which are synthetic).

• GHG Protocol Corporate Standard Scope 1, 2 and 3: https://ghgprotocol.org/ + The GHG Protocol Corporate Accounting and Reporting Standard provides requirements and guidance for companies and other organizations preparing a corporate-level GHG emissions inventory. Scope 1 and 2 are mandatory to report, whereas scope 3 is voluntary and the hardest to monitor.
  • Scope 1: Direct emissions:
    • Direct emissions from company-owned and controlled resources. In other words, emissions are released into the atmosphere as a direct result of a set of activities, at a firm level. It is divided into four categories:
      • Stationary combustion (e.g fuels, heating sources). All fuels that produce GHG emissions must be included in scope 1.
      • Mobile combustion is all vehicles owned or controlled by a firm, burning fuel (e.g. cars, vans, trucks). The increasing use of “electric” vehicles (EVs), means that some of the organisation fleets could fall into Scope 2 emissions.
      • Fugitive emissions are leaks from greenhouse gases (e.g. refrigeration, air conditioning units). It is important to note that refrigerant gases are a thousand times more dangerous than CO2 emissions. Companies are encouraged to report these emissions.
      • Process emissions are released during industrial processes, and on-site manufacturing (e.g. production of CO2 during cement manufacturing, factory fumes, chemicals).
  • Scope 2: Indirect emissions – owned:
    • Indirect emissions from the generation of purchased energy, from a utility provider. In other words, all GHG emissions released in the atmosphere, from the consumption of purchased electricity, steam, heat and cooling. For most organisations, electricity will be the unique source of scope 2 emissions. Simply stated, the energy consumed falls into two scopes: Scope 2 covers the electricity consumed by the end-user. Scope 3 covers the energy used by the utilities during transmission and distribution (T&D losses).
  • Scope 3: Indirect emissions – not owned:
    • Indirect emissions – not included in scope 2 – that occur in the value chain of the reporting company, including both upstream and downstream emissions. In other words, emissions are linked to the company’s operations. According to GHG protocol, scope 3 emissions are separated into 15 categories.

 

 

 

• Geothermal Heating, Heat Pumps, Chillers, Hydronics & Heat Exchangers:
  • Geothermal heating and cooling systems take advantage of the stable temperature underground using a piping system, commonly referred to as a “loop.” Water circulates in the loop to exchange heat between your home, the ground source heat pump, and the earth, providing geothermal heating, cooling, and hot water at remarkably high efficiencies.
  • Heat pumps use electricity to transfer heat from a cool space to a warm space, making the cool space cooler and the warm space warmer. During the heating season, heat pumps move heat from the cool outdoors into your warm house.  During the cooling season, heat pumps move heat from your house into the  outdoors. Because they transfer heat rather than generate heat, heat pumps can efficiently provide comfortable temperatures for your home.
  • The only difference between a heat pump and a chiller is that one is designed to remove heat from a space or process stream, making it cooler and rejecting heat to the environment, while the other is designed to extract heat from the environment and use it to provide useful heat.
  • Hydronics are systems of heating or cooling that involves transfer of heat by a circulating fluid (such as water or vapor) in a closed system of pipes.
  • Heat exchangers are used to transfer heat from one medium to another. These media may be a gas, liquid, or a combination of both. The media may be separated by a solid wall to prevent mixing or may be in direct contact. Heat exchangers are required to provide heating and/or cooling to meet a process requirement.
  • In HVAC, Heat exchangers are used to transfer heat between the indoor and outdoor air streams while keeping them physically separated as a means of cooling the indoor air. In addition, heat exchangers can also be used to heat indoor air. These systems are called heat pumps.

 

 

• HPC (Hight-Performance Computing):
  • Practice of aggregating computing resources to gain performance greater than that of a single workstation, server, or computer. HPC can take the form of custom-built supercomputers or groups of individual computers called clusters.
• Cloud Computing:
  • Cloud computing is a general term for anything that involves delivering hosted services over the internet. … Cloud computing is a technology that uses the internet for storing and managing data on remote servers and then access data via the internet.
  • Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each location being a data center.
• Edge Computing:
  • Edge computing is a form of computing that is done on site or near a particular data source, minimizing the need for data to be processed in a remote data center.
  • Edge computing can enable more effective city traffic management. Examples of this include optimising bus frequency given fluctuations in demand, managing the opening and closing of extra lanes, and, in future, managing autonomous car flows.
  • An edge device is any piece of hardware that controls data flow at the boundary between two networks. Edge devices fulfill a variety of roles, depending on what type of device they are, but they essentially serve as network entry — or exit — points.
  • There are five main types of edge computing devices: IoT sensors, smart cameras, uCPE equipment, servers and processors. IoT sensors, smart cameras and uCPE equipment will reside on the customer premises, whereas servers and processors will reside in an edge computing data centre.
  • In service-based industries such as the finance and e-commerce sector, edge computing devices also have roles to play. In this case, a smart phone, laptop, or tablet becomes the edge computing device.
  • Edge Devices:
    • Edge devices encompass a broad range of device types, including sensors, actuators and other endpoints, as well as IoT gateways. Within a local area network (LAN), switches in the access layer — that is, those connecting end-user devices to the aggregation layer — are sometimes called edge switches.
• Data Centers:
  • A data center is a facility that centralizes an organization’s shared IT operations and equipment for the purposes of storing, processing, and disseminating data and applications. Because they house an organization’s most critical and proprietary assets, data centers are vital to the continuity of daily operations.
• Hyperscale Data Centers:
  • The clue is in the name: hyperscale data centers are massive facilities built by companies with vast data processing and storage needs. These firms may derive their income directly from the applications or websites the equipment supports, or sell technology management services to third parties.
• White Space and Gray Space in Data Centers:
  • White space in data center refers to the area where IT equipment are placed. Whereas Gray space in the data centers is the area where back-end infrastructure is located.
  • White Space includes housing of: servers, storage, network gear, racks, air conditioning units, power distribution system.
  • Grey Space includes space for: switchgear, UPS, transformers, chillers, generators.

 

 

• AI – Artificial Intelligence:
  • Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
  • As the hype around AI has accelerated, vendors have been scrambling to promote how their products and services use AI. Often what they refer to as AI is simply one component of AI, such as machine learning. AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. No one programming language is synonymous with AI, but well a few, including Python, R and Java, are popular.
  • In general, AI systems work by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states. In this way, a chatbot that is fed examples of text chats can learn to produce lifelike exchanges with people, or an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples.
  • AI programming focuses on three cognitive skills: learning, reasoning and self-correction.
  • The 4 types of artificial intelligence?
    • Type 1: Reactive machines. These AI systems have no memory and are task specific. An example is Deep Blue, the IBM chess program that beat Garry Kasparov in the 1990s. Deep Blue can identify pieces on the chessboard and make predictions, but because it has no memory, it cannot use past experiences to inform future ones.
    • Type 2: Limited memory. These AI systems have memory, so they can use past experiences to inform future decisions. Some of the decision-making functions in self-driving cars are designed this way.
    • Type 3: Theory of mind. Theory of mind is a psychology term. When applied to AI, it means that the system would have the social intelligence to understand emotions. This type of AI will be able to infer human intentions and predict behavior, a necessary skill for AI systems to become integral members of human teams.
    • Type 4: Self-awareness. In this category, AI systems have a sense of self, which gives them consciousness. Machines with self-awareness understand their own current state. This type of AI does not yet exist.
  • Machine Learning (ML):
    • Developed to mimic human intelligence, it lets the machines learn independently by ingesting vast amounts of data, statistics formulas and detecting patterns.
    • ML allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.
    • ML algorithms use historical data as input to predict new output values.
    • Recommendation engines are a common use case for ML. Other uses include fraud detection, spam filtering, business process automation (BPA) and predictive maintenance.
    • Classical ML is often categorized by how an algorithm learns to become more accurate in its predictions. There are four basic approaches: supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning.
  • Deep Learning (DL):
    • Subset of machine learning, Deep Learning enabled much smarter results than were originally possible with ML. Face recognition is a good example.
    • DL makes use of layers of information processing, each gradually learning more and more complex representations of data. The early layers may learn about colors, the next ones about shapes, the following about combinations of those shapes, and finally actual objects. DL demonstrated a breakthrough in object recognition.
    • DL is currently the most sophisticated AI architecture we have developed.
  • Computer Vision (CV):
    • Computer vision is a field of artificial intelligence that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information.
    • The most well-known case of this today is Google’s Translate, which can take an image of anything — from menus to signboards — and convert it into text that the program then translates into the user’s native language.
  • Machine Vision (MV):
    • Machine Vision is the ability of a computer to see; it employs one or more video cameras, analog-to-digital conversion and digital signal processing. The resulting data goes to a computer or robot controller. Machine Vision is similar in complexity to Voice Recognition.
    • MV uses the latest AI technologies to give industrial equipment the ability to see and analyze tasks in smart manufacturing, quality control, and worker safety.
    • Computer Vision systems can gain valuable information from images, videos, and other visuals, whereas Machine Vision systems rely on the image captured by the system’s camera. Another difference is that Computer Vision systems are commonly used to extract and use as much data as possible about an object.
  • Generative AI (GenAI):
    • Generative AI technology generates outputs based on some kind of input – often a prompt supplied by a person. Some GenAI tools work in one medium, such as turning text inputs into text outputs, for example. With the public release of ChatGPT in late November 2022, the world at large was introduced to an AI app capable of creating text that sounded more authentic and less artificial than any previous generation of computer-crafted text.

 

• Edge AI Technology:
  • Edge artificial intelligence refers to the deployment of AI algorithms and AI models directly on local edge devices such as sensors or Internet of Things (IoT) devices, which enables real-time data processing and analysis without constant reliance on cloud infrastructure.
  • Simply stated, edge AI, or “AI on the edge“, refers to the combination of edge computing and artificial intelligence to execute machine learning tasks directly on interconnected edge devices. Edge computing allows for data to be stored close to the device location, and AI algorithms enable the data to be processed right on the network edge, with or without an internet connection. This facilitates the processing of data within milliseconds, providing real-time feedback.
  • Self-driving cars, wearable devices, security cameras, and smart home appliances are among the technologies that leverage edge AI capabilities to promptly deliver users with real-time information when it is most essential.
• Multimodal Intelligence and Agents:
  • Subset of artificial intelligence that integrates information from various modalities, such as text, images, audio, and video, to build more accurate and comprehensive AI models.
  • Multimodal capabilities allows to interact with users in a more natural and intuitive way. It can see, hear and speak, which means that users can provide input and receive responses in a variety of ways.
  • An AI agent is a computational entity designed to act independently. It performs specific tasks autonomously by making decisions based on its environment, inputs, and a predefined goal. What separates an AI agent from an AI model is the ability to act. There are many different kinds of agents such as reactive agents and proactive agents. Agents can also act in fixed and dynamic environments. Additionally, more sophisticated applications of agents involve utilizing agents to handle data in various formats, known as multimodal agents and deploying multiple agents to tackle complex problems.
• Small Language Models (SLM) and Large Language Models (LLM):
  • Small language models (SLMs) are artificial intelligence (AI) models capable of processing, understanding and generating natural language content. As their name implies, SLMs are smaller in scale and scope than large language models (LLMs).
  • LLM means large language model—a type of machine learning/deep learning model that can perform a variety of natural language processing (NLP) and analysis tasks, including translating, classifying, and generating text; answering questions in a conversational manner; and identifying data patterns.
  • For example, virtual assistants like Siri, Alexa, or Google Assistant use LLMs to process natural language queries and provide useful information or execute tasks such as setting reminders or controlling smart home devices.
• Agentic AI:
  • Agentic AI is an artificial intelligence system that can accomplish a specific goal with limited supervision. It consists of AI agents—machine learning models that mimic human decision-making to solve problems in real time. In a multiagent system, each agent performs a specific subtask required to reach the goal and their efforts are coordinated through AI orchestration.
  • Unlike traditional AI models, which operate within predefined constraints and require human intervention, agentic AI exhibits autonomy, goal-driven behavior and adaptability. The term “agentic” refers to these models’ agency, or, their capacity to act independently and purposefully.
  • Agentic AI builds on generative AI (gen AI) techniques by using large language models (LLMs) to function in dynamic environments. While generative models focus on creating content based on learned patterns, agentic AI extends this capability by applying generative outputs toward specific goals.