It really wasn’t necessary to bring any food; we’ve got plenty here. have ___________________________ we’ve got plenty here.

You really needn´t have brought any food;

You really needn´t had brought any food

ou really shouldn´t have to brought any food

We weren’t able to remove the old oak tree ourselves; we needed to employ a tree surgeon. get we ___________________ the old oak tree.

needed to get a tree surgeon to remove

needed a tree surgeon to get removed

What have you got to lose? Call her and see if she wants to go out on a date. might you _________________________________ and see if she wants to go out on a date. might

You might as well give her a call and see if she wants to go out on a date.

March progress review quiz C2.1

March progress test review quiz

Create MCQs from this text "For as long as we can remember, innovation has been a top priority—and a top frustration—for leaders. In a recent McKinsey poll, 84% of global executives reported that innovation was extremely important to their growth strategies, but a staggering 94% were dissatisfied with their organizations’ innovation performance. Most people would agree that the vast majority of innovations fall far short of ambitions. On paper, this makes no sense. Never have businesses known more about their customers. Thanks to the big data revolution, companies now can collect an enormous variety and volume of customer information, at unprecedented speed, and perform sophisticated analyses of it. Many firms have established structured, disciplined innovation processes and brought in highly skilled talent to run them. Most firms carefully calculate and mitigate innovations’ risks. From the outside, it looks as if companies have mastered a precise, scientific process. But for most of them, innovation is still painfully hit-or-miss. What has gone so wrong? The fundamental problem is, most of the masses of customer data companies create is structured to show correlations: This customer looks like that one, or 68% of customers say they prefer version A to version B. While it’s exciting to find patterns in the numbers, they don’t mean that one thing actually caused another. And though it’s no surprise that correlation isn’t causality, we suspect that most managers have grown comfortable basing decisions on correlations. Why is this misguided? Consider the case of one of this article’s coauthors, Clayton Christensen. He’s 64 years old. He’s six feet eight inches tall. His shoe size is 16. He and his wife have sent all their children off to college. He drives a Honda minivan to work. He has a lot of characteristics, but none of them has caused him to go out and buy the New York Times. His reasons for buying the paper are much more specific. He might buy it because he needs something to read on a plane or because he’s a basketball fan and it’s March Madness time. Marketers who collect demographic or psychographic information about him—and look for correlations with other buyer segments—are not going to capture those reasons. After decades of watching great companies fail, we’ve come to the conclusion that the focus on correlation—and on knowing more and more about customers—is taking firms in the wrong direction. What they really need to home in on is the progress that the customer is trying to make in a given circumstance—what the customer hopes to accomplish. This is what we’ve come to call the job to be done. We all have many jobs to be done in our lives. Some are little (pass the time while waiting in line); some are big (find a more fulfilling career). Some surface unpredictably (dress for an out-of-town business meeting after the airline lost my suitcase); some regularly (pack a healthful lunch for my daughter to take to school). When we buy a product, we essentially “hire” it to help us do a job. If it does the job well, the next time we’re confronted with the same job, we tend to hire that product again. And if it does a crummy job, we “fire” it and look for an alternative. (We’re using the word “product” here as shorthand for any solution that companies can sell; of course, the full set of “candidates” we consider hiring can often go well beyond just offerings from companies.)"

Stages in the Sale of a Property Stage 1 – Getting to Instruction • Initial contact with the vendor: need to check the following: type of property, contact details of vendor, address of property/Eircode and purpose of the contact - sale or valuation? If a sale, does the vendor need a quick sale? Qualify the lead i.e. is the vendor buying another property? If an investment property, is the tenant in situ? Check if there is a folio number available and confirm the ownership of the property. Schedule the viewing. • Pre-viewing: Set up a file & record all info from initial contact on CRM system. Check the Property Price Register to help get a general idea of property valuation (subject to viewing, helps to display knowledge of area/market and set expectations for the vendor). Nature of property may affect pricing e.g. starter home vs. larger property with vendor seeking to downsize. Consideration for comparables may include similar/same location, size and condition of property, availability and type of parking, layout of property, plot size, orientation of garden, extensions undertaken etc. Nature of market conditions, state of wider economy, cost of capital and availability of credit may also be factors. • Appraisal/viewing: Bring an advertising pack/sales & marketing brochures. Walk through property with client, note nice features/selling points for the brochure, let the client talk about upgrades/specific features of the property. It is very important to listen to the vendor and build rapport. Confirm property details e.g. condition and layout, plot size, orientation of garden. Check for certificates of compliance for any extensions, planning permissions for conversions, right of way if applicable etc. Check if a BER available/provide details for approved assessors. Demonstrate your/the practice’s professional expertise, justify why you should get the instruction, discuss recent local sales and give your potential valuation. Discuss the sales fee, marketing fee and any additional charges e.g. professional photography, drone footage, virtual tours (walkthrough video, Matterport etc.) Ask how the vendor heard about you/your practice and why are they considering you for the sale. Where appropriate offer advice to help vendor increase potential sales price. (If possible, leave with signed Property Services Agreement/Letter of Engagement.) Thank you, send/email market appraisal, any queries/questions do get in touch and let the vendor know that we’ll be in touch in coming days. • Post appraisal – letter sent that pm/next morning with market appraisal; diary note to follow up. Check that market appraisal letter received and check for questions. If did not get sale, find out why not/debrief. If get the sale, email confirmation of instruction. Once PSRA sent and LOE returned signed = stage 2. Other details required – ID, proof of address, proof of ownership/title, solicitor details, BER certificate (refer to assessor if not available). All these should be uploaded to CRM. Stage 2 – Getting to ‘Sale Agreed’ Set up appointment to measure & photograph, note any special features e.g., upgraded kitchen, south-facing garden. Provide ideas for improving sales potential (declutter, painting, tidy garden etc. Check if has vendor potential buyers in mind already e.g., relations, friends, other parties interested. Seek vendor approval for photos/text of brochure. Check for access (tenants in situ/working from home etc) and confirm viewing times. If given a key for viewings – tag it! Check alarm codes & whether a sign is allowed on the property. Bring to market – upload to all websites e.g., daft/my home, in house websites and create window display. Match the property against your internal database of potential purchasers /CRM system. Set up appointments for viewings on CRM or arrange for open viewings. Confirm viewings with vendor & purchaser. Turn on lights, open windows, secure valuables, leave out brochures & business cards, bring viewings sheets to keep record of attendees. Introduce yourself and get attendee details. Let people view the property and address any questions. Point out key features. Record questions to be answered and any feedback from viewers. Ask are they selling property? Let viewers know of offers already received. Lock up/alarm property/close windows. Provide vendor with feedback on viewings - number of viewers / questions raised/overall reaction to property. Offers should be confirmed in writing & upload to on CRM/ offers will be input by bidders onto online bidding platforms ‘Proof of funds’ required for offers in some practices. Successful bidder will be chosen by vendor, who might want quick sale/no chain or prefer the highest bidder. Booking deposit will be sought from successful bidder. The amount varies by practice but must cover fees. Sales Advice Notice/letter should be sent to both solicitors (and may be cc’d to vendor/buyer or notify both that SAN have gone out). Booking deposit receipt should be issued. The BER certificate and report should go to the solicitor. Send requests for docs/info to successful bidder including steps they need to take to progress sale e.g., organise the bank valuation and/or schedule the survey. Once the deposit is paid the property is Sale Agreed, inform other bidders, and update all websites/sales board etc. Stage 3 – Getting to closing Access should be organised for the bank valuation/survey. Stay in touch with both solicitors ‘contract-chasing’ i.e., check when contracts are issued, signed and queries answered. Legal searches undertaken by the solicitors may include checking boundaries, land registry, title, rights of way, compliance certs etc. When contracts are signed 10% purchase price/booking deposit should be sent to the vendor’s solicitor. Once all queries satisfied = drawdown of mortgage/funding, house/life insurance in place. Title deeds will be requested once contract is signed. Decide final closing date. Check that the property taxes have been paid. Check that vendor has vacated the property. When vacant, conduct the final walkthrough and take final readings (MPRNs ). Check with solicitor if the drawn down funds h, and once received the solicitor gives authorisation to the estate agent to release the keys. The agent will do up invoice, send the balance of funds to solicitor and provide gift to purchaser. Finally remove sign, mark as sold on CRM, seek testimonials, upload to social media and close a/c on CRM

Historia de la Inteligencia Artificial Introducción La inteligencia artificial (IA) tiene una historia larga y fascinante que comenzó mucho antes de que existieran los ordenadores modernos. A lo largo de los siglos, filósofos, científicos e ingenieros han sentado las bases conceptuales y tecnológicas necesarias para el desarrollo de máquinas capaces de imitar ciertos aspectos de la inteligencia humana. 1. Antecedentes remotos Época Figura o movimiento Aportación clave Siglo IV a. C. Aristóteles Desarrolla la lógica formal, primera aproximación sistemática al razonamiento deductivo. Edad Media Alquimistas Buscan crear “vida artificial”, anticipando el deseo de simular procesos naturales. 2. Cimientos modernos (1950‑1959) Año Hito Descripción 1950 Prueba de Turing Alan Turing propone un test para determinar si una máquina puede exhibir comportamiento inteligente indistinguible del humano. 1955 Nacimiento del término "Inteligencia Artificial" John McCarthy define la IA como la “ciencia e ingeniería de crear máquinas inteligentes”. 3. Principales hitos (1960‑2010) Año Hito Relevancia 1997 Deep Blue vence a Garry Kasparov Primer ordenador que derrota al campeón mundial de ajedrez; marca un antes y un después en el uso de la IA para resolver problemas complejos. 2002 Roomba (iRobot) Primer robot aspirador de consumo masivo con capacidades de mapeo y navegación autónoma. 2011 Siri (Apple) Asistente virtual por voz que populariza la IA conversacional en smartphones. 2014 Alexa (Amazon) Amplía el concepto de asistente virtual al hogar conectado. 4. Avances de la última década (2011‑2021) Año Hito Relevancia 2017 AlphaGo vence a Lee Sedol en Go Demuestra que el aprendizaje profundo puede superar al ser humano en tareas de enorme complejidad estratégica. 2021‑2022 Democratización de la IA generativa Herramientas como ChatGPT y DALL·E abren el acceso masivo a modelos capaces de generar texto e imágenes de alta calidad. 5. Situación actual y perspectivas La IA está cada vez más integrada en nuestra vida diaria: desde los algoritmos de recomendación hasta los asistentes de voz y los sistemas de generación de contenido. Se prevé que continúe evolucionando y transformando sectores como la salud, la educación y la industria creativa. Conclusión La semilla que Alan Turing plantó en 1950 ha dado lugar a un campo vibrante y en constante expansión. Mirar al pasado nos ayuda a comprender el rápido progreso actual y a anticipar un futuro en el que la inteligencia artificial desempeñará un papel aún más central en la sociedad.

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