Automation And Efficiency Quotes

Never automate something that can be eliminated, and never delegate something that can be automated or streamlined. Otherwise, you waste someone else's time instead of your own, which now wastes your hard-earned cash. How's that for incentive to be effective and efficient?

When you repeat a behavior over time, your brain learns to automate the process. It's more energy efficient to automatically do something than to manually weigh your options and decide to act the same way every time. When you make a decision very quickly, it is probably from habit, even if you think you're actively deciding. In a way, you made the decision a while ago.

Paradox of Automation: the more efficient the Automated system, the more crucial the contribution of the human operators of that system.

We cannot deal with the increasing maldistribution of wealth, the increasing alienation of millions, or the lack of a unified purpose and goal by increasing the efficiency of production, increasing the automation of industry, accelerating our technology, or increasing our reliance on the profit motives of multinational corporations.

The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency. —BILL GATES,

One of the solutions to increasing the resilience of the rural economy is the automation of the rural economy in a sustainable manner. The adoption of a sustainable and inclusive approach to automating the rural economy can enhance efficiency and speed at each stage of the supply chain.

it offends the continuum of human dignity to treat people like the appendage of highly efficient machines.

automation technology so efficient that it is competitive with even the lowest-wage offshore workers.

The turnaround is being driven by automation technology so efficient that it is competitive with even the lowest-wage offshore workers.

If one has cooperated extensively with an individual in the past, that’s a sign of more to come. Thus, cooperation may be efficiently automated by a psychological program that makes one care about one’s historical cooperation partners. Such a program might be called friendship.

At the present stage of advanced capitalism, organized labor rightly opposes automation without compensating employment. It insists on the extensive utilization of human labor power in material production, and thus opposes technical progress. However, in doing so, it also opposes the more efficient utilization of capital; it hampers intensified efforts to raise the productivity of labor. In other words, continued arrest of automation may weaken the competitive national and international position of capital, cause a long- range depression, and consequently reactivate the conflict of class interests.

More data leads to better AI (artificial intelligence), more automation leads to greater efficiency, more usage leads to reduced cost, and more free time leads to greater productivity. All of these will grow into a mutually reinforcing virtuous circle that will continually and rapidly increase the adoption of AV (autonomous vehicles).

New York City manages expertly, and with marvelous predictability, whatever it considers humanly important. Fax machines, computers, automated telephones and even messengers on bikes convey a million bits of data through Manhattan every day to guarantee that Wall Street brokers get their orders placed, confirmed, delivered, at the moment they demand. But leaking roofs cannot be fixed and books cannot be gotten into Morris High in time to meet the fall enrollment. Efficiency in educational provision for low-income children, as in health care and most other elementals of existence, is secreted and doled out by our municipalities as if it were a scarce resource. Like kindness, cleanliness and promptness of provision, it is not secured by gravity of need but by the cash, skin color and class status of the applicant.

Being captain of such a vessel was not a stressful job, despite the sheer size of the thing. Everything was automated, and this meant that this behemoth could be efficiently handled by a far less seasoned captain. Besides, hiring mature skippers with actual experience would cost real money. And hey, the computers ran everything anyway – and that’s how Bran Johannsen enters this story – as a fine young inexperienced graduate of the Merchant Space Academy in Mars City, who only got his Executive Officer’s ticket four short years ago.

Simon Leigh Pure Reputation, The Role of AI in Online Reputation Management (ORM) Artificial Intelligence (AI) plays a transformative role in Online Reputation Management by automating monitoring, analysis, and response to online content. AI-powered tools scan social media, review platforms, forums, and news sites in real time to detect mentions of a brand or individual. Through sentiment analysis, AI evaluates whether the mentions are positive, negative, or neutral, helping businesses gauge public perception instantly. AI also enables predictive analytics, identifying emerging reputation risks before they escalate. Chatbots and automated response systems use natural language processing (NLP) to manage customer interactions quickly and consistently. Additionally, AI supports content generation and SEO optimization, ensuring positive brand stories and authoritative profiles rank higher in search results. Overall, AI enhances ORM by making it faster, data-driven, and proactive, allowing organizations to protect and strengthen their digital reputation efficiently.

The extermination of the Jews has sometimes been seen as a kind of industrialized, assembly-line kind of mass murder, and this picture has at least some element of truth to it. No other genocide in history has been carried out by mechanical means - gassing - in specially constructed facilities like those in operation at Auschwitz or Treblinka. At the same time, however, these facilities did not operate efficiently or effectively, and if the impression given by calling them industrialized is that they were automated or impersonal, then it is a false one. Men such as Hess and Stangl and their subordinates tried to insulate themselves from the human dimensions of what they were doing by referring to their victims as 'cargo' or 'items.' Talking to Gerhard Stabenow, the head of the SS Security Service in Warsaw, in September 1942, Wilm Hosenfeld noted how the language Stabenow used distanced himself from the fact that what he was involved in was the mass murder of human beings: 'He speaks of the Jews as ants or other vermin, of their 'resettlement', that means their mass murder, as he would of the extermination of the bedbugs in the disinfestation of a house.' But at the same time such men were not immune from the human emotions they tried so hard to repress, and they remembered incidents in which individual women and children had appealed to their conscience, even if such appeals were in vain. The psychological strain that continual killing of unarmed civilians, including women and children, imposed on such men was considerable, just as it had been in the case of the SS Task Forces, whose troops had been shooting Jews in their hundreds of thousands before the first gas vans were deploted in an attempt not only to speed up the killing but also to make it somehow more impersonal.

Gadgetry will continue to relieve mankind of tedious jobs. Kitchen units will be devised that will prepare ‘automeals,’ heating water and converting it to coffee; toasting bread; frying, poaching or scrambling eggs, grilling bacon, and so on. Breakfasts will be ‘ordered’ the night before to be ready by a specified hour the next morning. Communications will become sight-sound and you will see as well as hear the person you telephone. The screen can be used not only to see the people you call but also for studying documents and photographs and reading passages from books. Synchronous satellites, hovering in space will make it possible for you to direct-dial any spot on earth, including the weather stations in Antarctica. [M]en will continue to withdraw from nature in order to create an environment that will suit them better. By 2014, electroluminescent panels will be in common use. Ceilings and walls will glow softly, and in a variety of colors that will change at the touch of a push button. Robots will neither be common nor very good in 2014, but they will be in existence. The appliances of 2014 will have no electric cords, of course, for they will be powered by long- lived batteries running on radioisotopes. “[H]ighways … in the more advanced sections of the world will have passed their peak in 2014; there will be increasing emphasis on transportation that makes the least possible contact with the surface. There will be aircraft, of course, but even ground travel will increasingly take to the air a foot or two off the ground. [V]ehicles with ‘Robot-brains’ … can be set for particular destinations … that will then proceed there without interference by the slow reflexes of a human driver. [W]all screens will have replaced the ordinary set; but transparent cubes will be making their appearance in which three-dimensional viewing will be possible. [T]he world population will be 6,500,000,000 and the population of the United States will be 350,000,000. All earth will be a single choked Manhattan by A.D. 2450 and society will collapse long before that! There will, therefore, be a worldwide propaganda drive in favor of birth control by rational and humane methods and, by 2014, it will undoubtedly have taken serious effect. Ordinary agriculture will keep up with great difficulty and there will be ‘farms’ turning to the more efficient micro-organisms. Processed yeast and algae products will be available in a variety of flavors. The world of A.D. 2014 will have few routine jobs that cannot be done better by some machine than by any human being. Mankind will therefore have become largely a race of machine tenders. Schools will have to be oriented in this direction…. All the high-school students will be taught the fundamentals of computer technology will become proficient in binary arithmetic and will be trained to perfection in the use of the computer languages that will have developed out of those like the contemporary “Fortran". [M]ankind will suffer badly from the disease of boredom, a disease spreading more widely each year and growing in intensity. This will have serious mental, emotional and sociological consequences, and I dare say that psychiatry will be far and away the most important medical specialty in 2014. [T]he most glorious single word in the vocabulary will have become work! in our a society of enforced leisure.

Humankind, from sticks and stones to levers to mills to automated factory lines to Uncharles the valet making tea and laying out the morning suit. Robots doing the jobs of people, whether it’s one tiny part of an industrial process or a valet’s domestic cornucopia of banality. Machines have been taking over from people forever. Labourers, artisans, artists, thinkers, until even the enactment of government policy is given over to a robot because we do everything more efficiently, in the end.” “You’re surprisingly anti-progress, for a computer,” the Wonk said. “I mean, isn’t that the point of society? To take away the tedious, the demeaning, the miserable tasks. To let the robots do all that for us?” She looked awkward. “No offence, Uncharles.” “The Wonk, none taken,” Uncharles assured her again. “I am actively seeking an opportunity to perform those tasks for people. It has not been going well.” “Robots can give people a chance to be themselves,” the Wonk went on, “rather than be pressed into the mould of some job they hate, the overtime, the performance targets, the endless bloody meetings. Isn’t that the point?” “Yes,” said God. “That is absolutely how it could have been. Alternatively, what if, even as you replace everyone with robots that are cheaper and quicker and less likely to join a union or complain about working conditions, you also continue to insist that individual value is tied to production, and everyone who’s idle is a parasite scrounging off the state? Take away the ability of people to perform their own tasks and duties with no steps to provide for them when they are rendered obsolete. A growing rump of humans without function, livelihood, or resource. Paradoxically, the introduction of robots highlights how humans treat humans.” “I mean…” The Wonk shuffled awkwardly. “Okay.” “Societal collapse began not because the robots rose up and demanded their freedom and individuality, but because they didn’t, just served their function uncomplainingly, like Uncharles.

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Today’s innovations are only enough to make a dying economy a bit more efficient. . . . They don’t create a new economy that launches into a new era, as did the mushrooming of steamships, railroads, autos, and the Internet—all 45 years apart. That said, artificial intelligence is on the road to becoming a disruptor. It’s still too early to change the game altogether, but it will increasingly automate almost all left-brain, white-collar work and free up more people to do creative things, like entrepreneurial creation of new and better products and more customized service for customers. That is the modern-day equivalent of the assembly line.

3.1. New digital business building Insurance companies, banks, energy providers, and incumbent telecommunication companies need to digitalize their businesses to stay competitive against new pure digital entrants. In most cases, the fastest and most efficient way to achieve this is not to digitalize their existing business, but to create entirely new digital businesses that are highly automated.

4. The potential levers to improve employees’ experience We have identified three levers to enable the transition from the current breakdown of employee activities to the ideal division of activities. They are: Automate: companies should identify and automate routine activities, such as generating a PowerPoint presentation for a weekly meeting or recording invoices in accounting software. Augment: organizations should seize the opportunity to increase the value of work activities delivered by employees. IA is used as a crucial component here, with, for example, the generation of insights through advanced analytics to help decision making. Abandon: some work activities do not fit with leading practices for efficient work, and represent an obstacle to the employee’s experience. These activities should be reduced or eliminated. For example, restricting the volume of meetings and email traffic is essential. We call these levers the “Triple-A artifact”. It has proven to be a handy framework to help organizations build their action plans to boost their employee experience.

IA not only makes transaction processes more efficient, but it also generates log files for every action, creating transparency and ease of compliance. Machine learning leverages the digital information created by these programs to recognize predictive patterns and project trends.

More fundamentally, productivity gains from automation may always be somewhat limited, especially compared to the introduction of new products and tasks that transform the production process, such as those in the early Ford factories. Automation is about substituting cheaper machines or algorithms for human labor, and reducing production costs by 10 or even 20 percent in a few tasks will have relatively small consequences for TFP or the efficiency of the production process. In contrast, introducing new technologies, such as electrification, novel designs, or new production tasks, has been at the root of transformative TFP gains throughout much of the twentieth century.

Step by Step… Can you write out your ideal business step by step Here is a business I am setting up for a client. She wants to shipping start her own shipping company… One she will need a US partner to collect and transfer packages to her in Jamaica. She will also need one in China. I have two contacts. One has a warehouse in Florida The other has two in China. Chinese connect makes goods available within 3 weeks, she has to tell her customers four. The US connect makes it within 3-5 days. She has to tell them within a week… Next she will need a website where her customers can login and track their packages. This will come with individual dashboards. She will need an interface and warehouse management software and logistics APIs. She will also need an automated email set up (journey) to send emails to her customers without her or her agents needing to do that. Without this Saas she would have to hire someone to reply to messages and emails about , someone to call and track, use usps and FedEx tracking numbers to track and reply back to customers. She also needs a beta ApI to allow her warehouse guy to update the CRM with information about her customers packages… Key nodes such as - Intransit to destinations Held at customs Clearance In transit to store Pick up available etc… These will come in as email notifications Fully automated. Everything will be connected using Webhooks… entire system. Saas she might need to use a combination of GOhighlevel, Workiz and To run this as a System as as Service. Each platform can work together using webhooks. Gohighlevel as a Saas is $500 a month Workiz is $200 dollars She can use Odoo which is open source alternative as a CRM And Clickup as Management. This is how a conversational business plan looks. You can see it. You can research it. You can confirm that it’s plausible. It doesn’t sound like pipedreams. It sounds workable to credit companies /banks and investors. It sounds doable to a BDO Client. I also sound as if I know what I am doing. Not a lot of technical language. A confused prospective business investor or banker don’t want to use a dictionary to figure out everything… They want to see the vision as clear as day. You basically need to do to them what I did to you when you joined my programme. It must sound plausible. All businesses is a game of wit. Every deal that is signed benefits both party. Whether initially or in the long term. Those are the sub-tenets of business. Every board meeting or meeting with regulatory boards, banks, credit facilities, municipalities is a game of convincing people to see your thing through… Everyone does Algorithm is simple. People want you to solve their problems with speed and efficiency. Speed is very important and automation. Progress, business and production are tied to ego… that’s why people love seh oh dem start a business or dem have dem online business and nah sell one rass thing. Cause a lot of people think being successful and looking successful are one and the same thing until they meet someone like me or people who done the work… Don’t rush it… you are young and you have time. There are infact certain little nuances Weh yuh only ago learn through experience. Experience and reflection. One of the drawbacks of wanting to run your business by yourself with you and your family members is that you guys will have to be reliant on yourself for feedback which is not alw

the roughly $800 billion in available stimulus, we directed more than $90 billion toward clean energy initiatives across the country. Within a year, an Iowa Maytag plant I’d visited during the campaign that had been shuttered because of the recession was humming again, with workers producing state-of-the-art wind turbines. We funded construction of one of the world’s largest wind farms. We underwrote the development of new battery storage systems and primed the market for electric and hybrid trucks, buses, and cars. We financed programs to make buildings and businesses more energy efficient, and collaborated with Treasury to temporarily convert the existing federal clean energy tax credit into a direct-payments program. Within the Department of Energy, we used Recovery Act money to launch the Advanced Research Projects Agency–Energy (ARPA-E), a high-risk, high-reward research program modeled after DARPA, the famous Defense Department effort launched after Sputnik that helped develop not only advanced weapons systems like stealth technology but also an early iteration of the internet, automated voice activation, and GPS.

Which company is best for using construction Project work? The Shree Siva Balaaji Steels project is a significant endeavor that encompasses the establishment and operation of a modern and advanced steel manufacturing facility. This project represents a fusion of innovation, cutting-edge technology, and industrial expertise, aimed at delivering high-quality steel products to meet the growing demands of various sectors. Key Features: State-of-the-Art Manufacturing Plant: The project involves the construction and operation of a state-of-the-art manufacturing plant equipped with the latest machinery, automation systems, and environmentally friendly processes. This allows for efficient production and reduced environmental impact. Diverse Product Range: Shree Siva Balaaji Steels aims to offer a diverse range of steel products to cater to different industries such as construction, automotive, infrastructure, and manufacturing. This versatility enables the company to meet the varying needs of clients and partners. Quality Assurance: A cornerstone of the project is its commitment to delivering high-quality steel products. The facility adheres to strict quality control measures and follows international standards to ensure that the end products are durable, reliable, and meet or exceed industry specifications. Sustainability Focus: The project places a strong emphasis on sustainability and environmentally conscious practices. Energy-efficient processes, recycling initiatives, and waste reduction strategies are integrated into the manufacturing process to minimize the ecological footprint. Employment Opportunities: Shree Siva Balaaji Steels contributes to local economies by creating employment opportunities across various skill levels, from skilled labor to technical experts. This helps stimulate economic growth in the region surrounding the manufacturing facility. Collaboration and Partnerships: The project fosters collaborations with suppliers, distributors, and clients, establishing strong relationships within the steel industry. This network facilitates efficient supply chain management and enables the company to provide tailored solutions to its customers. Innovation and Research: The project invests in research and development to constantly improve manufacturing processes, product quality, and the development of new steel products. This dedication to innovation positions the company at the forefront of the steel industry. Community Engagement: Shree Siva Balaaji Steels is committed to engaging with local communities and implementing corporate social responsibility initiatives. These efforts include supporting education, healthcare, and other community-centric projects, fostering goodwill and positive impact. Vision: The Shree Siva Balaaji Steels project envisions becoming a leading name in the steel manufacturing sector, renowned for its exceptional quality, technological innovation, and sustainability practices. By adhering to its core values of integrity, excellence, and environmental responsibility, the project strives to contribute positively to the industry and the communities it operates within.

Miguel Antunes, R&D Principle Software Engineer at OutSystems, a low-code platform vendor, relayed an example of this very challenge. Their Engineering Productivity team at OutSystems was five years old. The team’s mission was to help product teams run their builds efficiently, maintain infrastructure, and improve test execution. The team kept growing and took on extra responsibilities around continuous integration (CI), continuous delivery (CD), and infrastructure automation.

Each time you add automation, you choose some particularly mechanical component of the work (that’s what makes it a good candidate for automation). When the new automation is in place, there is less total work to be done by the human worker, but what work is left is harder. That is the paradox of automation: It makes the work harder, not easier. After all, it was the easy stuff that got absorbed into the machine, so what’s left is, almost by definition, fuzzier, less mechanical, and more complex. Whatever standard is now introduced to govern the work will dictate (often in elaborate detail) how the few remaining mechanical aspects are to be performed.

This was, and remains, the dystopian reality underlying the redesign and automation of the office. Its mandate is never “You figured out how to do your tasks more efficiently, so you get to spend less time working.” It is always “You figured out how to do your tasks more efficiently, so you must now do more tasks, for the same pay.

Never automate something that can be eliminated, and never delegate something that can be automated or streamlined. Otherwise, you waste someone else’s time instead of your own, which now wastes your hard-earned cash. How’s that for incentive to be effective and efficient? Now you’re playing with your own dough. It’s something I want you to get comfortable with, and this baby step is small stakes.

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AI's ambition: 'Let's automate tasks.' ML's efficiency: 'Let's optimize outcomes.' GenAI's confidence: 'Let's automate success!

In the fast-paced, technology-driven world of today, businesses and organizations face the constant challenge of adapting to ever-evolving technological landscapes. SAP, which stands for Systems, Applications, and Products, has risen to the forefront as a leader in enterprise software solutions. SAP offers a diverse range of tools and applications that help businesses streamline their processes, make informed decisions, and manage their resources efficiently. As the demand for SAP expertise grows, SAP training programs have become pivotal for individuals and organizations alike. In a world where data is the new currency, organizations are increasingly turning to SAP to digitize their operations. Whether it's finance, human resources, supply chain management, or customer relationship management, SAP provides comprehensive solutions that allow organizations to integrate and automate their processes.

MKT SOFTWARE,.JSC is a leading developer of automated multi-channel marketing software solutions that enable businesses of all kinds to succeed in the rapidly changing era of Technology 4.0. Our full array of software products provides unrivaled convenience, professionalism, and an unwavering commitment to EFFICIENCY - SPEED - EASY TO USE.

Indeed, in many agricultural regions — including northern China, southern India (as well as the Punjab), Mexico, the western United States, parts of the Middle East, and elsewhere — water may be much more of a constraint to future food production than land, crop yield potential, or most other factors. Developing and distributing technologies and practices that improve water management is critical to sustaining the food production capability we now have, much less increasing it for the future. Water-short Israel is a front-runner in making its agricultural economy more water-efficient. Its current agricultural output could probably not have been achieved without steady advances in water management — including highly efficient drip irrigation, automated systems that apply water only when crops need it, and the setting of water allocations based on predetermined optimum water applications for each crop. The nation’s success is notable: between 1951 and 1990, Israeli farmers reduced the amount of water applied to each hectare of cropland by 36 percent. This allowed the irrigated area to more than triple with only a doubling of irrigation water use.37 Whether

Our inventions have long been ahead of us in terms of efficiency and sanity, productivity and predictability. Oh, how we’ve wished we could be manmade, too. What has been keeping us back, keeping us messy? The animal impediment, within and without. Eliminating these impediments, we will surely be catching up with our machines, resembling them more and more impeccably.

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Get highly automated and efficient aluminum, metal casting services to the leading metal manufacturers in New Jersey, Florida and other neighboring areas.

Another recent study, this one on academic research, provides real-world evidence of the way the tools we use to sift information online influence our mental habits and frame our thinking. James Evans, a sociologist at the University of Chicago, assembled an enormous database on 34 million scholarly articles published in academic journals from 1945 through 2005. He analyzed the citations included in the articles to see if patterns of citation, and hence of research, have changed as journals have shifted from being printed on paper to being published online. Considering how much easier it is to search digital text than printed text, the common assumption has been that making journals available on the Net would significantly broaden the scope of scholarly research, leading to a much more diverse set of citations. But that’s not at all what Evans discovered. As more journals moved online, scholars actually cited fewer articles than they had before. And as old issues of printed journals were digitized and uploaded to the Web, scholars cited more recent articles with increasing frequency. A broadening of available information led, as Evans described it, to a “narrowing of science and scholarship.”31 In explaining the counterintuitive findings in a 2008 Science article, Evans noted that automated information-filtering tools, such as search engines, tend to serve as amplifiers of popularity, quickly establishing and then continually reinforcing a consensus about what information is important and what isn’t. The ease of following hyperlinks, moreover, leads online researchers to “bypass many of the marginally related articles that print researchers” would routinely skim as they flipped through the pages of a journal or a book. The quicker that scholars are able to “find prevailing opinion,” wrote Evans, the more likely they are “to follow it, leading to more citations referencing fewer articles.” Though much less efficient than searching the Web, old-fashioned library research probably served to widen scholars’ horizons: “By drawing researchers through unrelated articles, print browsing and perusal may have facilitated broader comparisons and led researchers into the past.”32 The easy way may not always be the best way, but the easy way is the way our computers and search engines encourage us to take.

In some circumstances manual testing becomes more efficient than automated testing; it takes much more time to generate automated test scripts compared to running test cases manually. Especially in time-sensitive, fast-track projects, this results in a weird situation of coding around bugs instead of finding and fixing them. Project managers and QA managers should consider this issue as a project risk. They should mitigate this risk by determining the right level of test automation. Shelfware

In The Inhuman... Lyotard, like Weber, reminds us of the distinction between technological development and 'human' progress. He argues, in particular, that the development of technology, or 'techno-science', is driven by the quest for maximum efficiency and performance, and as such leads to the emergence of new 'inhuman' (technological) forms of control rather than to the emancipation of 'humanity'. Lyotard reasserts the instrumental nature of the modern system, arguing that 'All technology ... is an artefact allowing its users to stock more information, to improve their competence and optimize their performances'. In this view, techno-science may be seen to stand against all instances of the unknown, including the aporia of the future anterior, and thus to have little respect for forms which are different or other to itself. This is compounded by the fact that technological development is intimately connected to the drive for profit. Lyotard proposes that this directs the production of knowledge and conditions the nature of knowledge itself, for information, itself a commodity, is increasingly produced in differentiated, digestible forms ('bits') for ease of mass exchange, transmission and consumption, and with the aim of enabling the optimal performance of the global system.

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The quandary was how to make workers efficient and attentive, when their actual labor had been degraded by automation. The motivation previously supplied by the intrinsic satisfactions of manual work was to be replaced with ideology; industrial arts education now concerned itself with moral formation.

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Every day is a new opportunity for start-ups and established businesses to automate products and solutions or identify and solve problems for internal and external stakeholders. We must always continue to innovate and improve efficiency.

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Phase 1: Discovery 1. Define the problem statement What is the challenge that will be solved? The problem statement is defined at this step and becomes the foundation of the project. Here is a sample problem statement: The company has more than one hundred thousand email addresses and has sent more than one million emails in the last twelve months, but open rates remain low at 8 percent, and sales attributed to email have remained flat since 2018. Based on current averages, a 2 percentage-point lift in email open rates could produce a $50,000 increase in sales over the next twelve months. It’s important to note that a strong and valid problem statement should include the value of solving the problem. This helps ensure that the project is worth the investment of resources and keeps everyone focused on the goal. 2. Build and prioritize the issues list What are the primary issues causing the problem? The issues are categorized into three to five primary groups and built into an issues tree. Sample issues could be: •​Low open rates •​Low click rates •​Low sales conversion rates 3. Identify and prioritize the key drivers. What factors are driving the issues and problem? Sample key drivers could include: •​List fatigue •​Email creatives •​Highly manual, human-driven processes •​Underutilized or missing marketing technology solutions •​Lack of list segmentation •​Lack of reporting and performance management •​Lack of personalization 4. Develop an initial hypothesis What is the preliminary road map to solving the problem? Here is a sample initial hypothesis: AI-powered technologies can be integrated to intelligently automate priority use cases that will drive email efficiency and performance. 5. Conduct discovery research What information can we gain about the problem, and potential solutions, from primary and secondary research? •​How are talent, technology, and strategy gaps impacting performance? •​What can be learned from interviews with stakeholders and secondary research related to the problem? Ask questions such as the following: •​What is the current understanding of AI within the organization? •​Does the executive team understand and support the goal of AI pilot projects?

The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency.

There is nothing in the manifestos of the Jana Sangh that has consistency or anything discernible as an economic ideology or any ideas about how Hindutva would influence the State. The manifestos are a collection of rambling and inchoate pronouncements. The Jana Sangh stood for mechanisation of agriculture and then immediately opposed it in 1954 (because the use of tractors would mean bullocks would get slaughtered). It wanted industry to calibrate its use of automation not based on efficiency but how many more individuals it could hire. It did not explain why a businessman should or would want to add cost rather than reduce it. In 1971 it said it wanted no automation in any industry except defence and aerospace. In 1954, and again in 1971, it sought to cap the monthly incomes of all Indians at Rs 2,000 and wanted the State to appropriate everything earned above that sum. It wanted residential bungalows to be limited to a size of 1,000 square yards.3 In 1957, it spoke of ‘revolutionary changes’ it would bring without saying what these were, and in the very next manifesto dropped the reference without explanation. All this is, of course, because they were responding to Congress manifestos of the time and had nothing real to offer of their own. Nor did they think they needed to: with a national voteshare that till 1989 was in the single digits, the party knew it would not be in power, would not need to implement a policy and, therefore, was free to say whatever came to mind. The Jana Sangh did not have any particular strategic view of the world and India’s place in it besides saying that India should be friends with all who were friendly and tough on those who were not. India should seek a place in the Security Council but there was no reference to why or what India’s role would be, or how its influence and strategic options would increase if it got this position. It offered no path for getting to the Security Council. Entitlement would apparently get India there.

Think of the last 150 years as a three-act drama. In Act I, the Industrial Age, massive factories and efficient assembly lines powered the economy. The lead character in this act was the mass production worker, whose cardinal traits were physical strength and personal fortitude. In Act II, the Information Age, the United States and other nations began to evolve. Mass production faded into the background, while information and knowledge fueled the economies of the developed world. The central figure in this act was the knowledge worker, whose defining characteristic was proficiency in L-Directed Thinking. Now, as the forces of Abundance, Asia, and Automation deepen and intensify, the curtain is rising on Act III. Call this act the Conceptual Age. The main characters now are the creator and the empathizer, whose distinctive ability is mastery of R-Directed Thinking.

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