Pursuit Decision

Pursuit Decision

Many business proposals are won or lost before they even begin. Some companies have an actual knowledge advantage, but others will only pretend to have what it takes to win a bid.

As a company matures, the bid/no bid criteria tend to become more sophisticated. It is important not just to believe you have a chance at winning but also to know how much information is necessary for that winning proposal. Having a standard for whether to bid on an opportunity is not the same thing as having the process of lead pursuit and capture.

Many companies fail at the start of their lead pursuit by only think thinking of activities such as meetings, events, and contacts. They fail to develop these activities as a process with a planned sequence. They might contrive bid/no bid criteria but neglect the sophisticated process toward that end.

Goals are needed. Pursuit decision goals. Goals steer you with information that leads toward accomplishment. Goals can help toward developing a winning proposal.

Pursuit Decision Goals

Many companies fail at the start of their lead pursuit by only thinking about activities such as meetings, events, and contacts. They neglect to develop these into an organized process with planned sequences towards accomplishing goals which can help influence you in your bid/no bid criteria selection but also includes more sophisticated strategies for success.

To win this race, it is important not just to have good ideas or specific skills related specifically to the projects themselves. Instead, having intermediate pursuit decision goals will give direction during each step along the way so that the proposal team may continue moving forward toward the probability of winning the bid.

The decision-making process in an effective bid/no bid situation is like a game of chess. Every step, review, and goal is like another gate that can either bring you closer or push you away from what is best for the business.

Determine The Acceptable Lead

It is important to know when a prospect is actually worth your time. Some companies track every lead they consider, while others only take the ones that look promising.

A worthwhile lead that is qualified as such is a lead that is accepted by the company as a worthwhile lead. It must be evaluated as worth pursuing because it is a worthwhile match for the company. The company needs to determine what lead is a potential match for the company. What criteria determine a potential lead for the company?

Determine The Lead Is Worthy Of Pursuit

Once you have a lead, the next goal is to qualify and prove that it is worth pursuing. This investment decision will make or break your business because capturing new clients can be expensive for some companies.

The level of effort put into lead qualification can vary depending on the company. Some have rigorous requirements for qualifying a lead, while others just need to know if they are capable enough before getting started with your project.

The type and difficulty in acquiring new customers affect how much time goes into ensuring every detail is perfect when it comes down to closing deals. The more complex or sophisticated the product or service is that is being offered, the more effort and rigor should be expended in qualifying and determining the worthiness of pursuing the lead.

Pursue Only Desirable Leads

When the lead is qualified as a worthy lead, the next step is multi-faceted. You will then need to:

· Learn what will be demanded to win the lead

· Pursue an information advantage

· Provide responses to the customer such as draft RFPs, answers to questions, sources sought, etc.

· Determine the proposal

Prepare Input For The Proposal Team

It is important to ensure that the pursuit process delivers information needed for writing a winning proposal, as it will make all your effort worthwhile. The knowledge advantage needs to be provided as input for the proposal writers for them to write the winning proposal.

Conclusion

Pursuit decision goals should result in spending efforts on a worthwhile lead. This lead should end with a high probability of winning (Pwin). Pwin is the evaluating concept that will help position the contractor into a more probable win for the bid.

The best help toward gaining the good Pwin number for confident bidding is using AI-empowered software, such as Scion Analytics’ Proposal & Contract Suite. The Bid/ No Bid Dynamic application can provide comprehensive bid/no bid analysis of an RFP quickly.

Bid Decision

Bid Decision

The decision to bid on a project should not be taken lightly. You invest time and resources into putting together your bids, so it is important to make sure that you are targeting the right projects. This will ensure no regret later down the road. The decision to bid needs to be objective and realistic, not subjective. Passion for a project does not mean that it is suited for the company’s best interests. One easy way to stay objective is by conducting a thorough bid/no bid analysis that meets company goals while also staying true to long-term strategy.

Bid Decision Factors

In order to make the best bid or no bid decision, it is important that you take into account a number of factors. These objective criteria help keep your decision from being subjective and based on bias rather than expertise.

These decision factors are listed below:

The Profitability Factor

Making a profit is the goal of any business, but it is especially important when you have devoted time and money to get there. If your company cannot recoup these costs through project profits, what incentive do investors have? It is easy to underestimate the cost of a project when you are working from just an estimate.

Make sure that your account for annual labor and equipment costs will allow accurate estimations. When you are calculating labor costs, be sure to include all the taxes and benefits that employees receive. You must consider other variables like location, contract requirement, and planned method of construction to determine if the job will be profitable for you.

The Capability Factor

Now that you have determined if your company is capable of doing the project work, it is time to look into how much money can be made on this. Make sure you have enough people, equipment, and resources in place to get the job done when construction is expected to commence. If you want to be sure your company can handle the project, it needs adequate cash flow and bonding capacity.

The Historical Analysis Factor

Recall why some bids were winners and why others did not. To submit better bids and win more work, you should always keep records of all your bids. It is important for a company’s success that they have such an understanding. Many factors can influence their loss in bid such as whether there was a lack of experience or if the price was not low enough. Recall past successes and ask whether things were done well or was there a need for improvement to stay within budget, etc.

The Long-Term Strategy Factor

The key to a successful project is looking at your company’s long-term goals and whether they align with the needs of this particular client. Are you wanting to merely maintain a current level of success, or do you wish to grow? Every company needs to have a long-term strategy. But it is just as important for them to identify and go after projects that align with their goals.

The Risk Assessment Factor

There are many risks that could arise on a project, such as incomplete construction documents or unknown site conditions. Review the bidding documents and plans for the project before deciding whether to bid so you know what is involved with completing each task adequately. Avoid common mistakes that can lead to a less than perfect project.

Bid Decision Importance

Bid management is an essential part of the process to ensure a successful proposal. Essential for your company’s bid, compliance with all requirements should be reached for it to have a high chance at winning against other competitors. But without a smart consideration of these five key factors discussed above, no one will be prepared to bid successfully on a project.

Conclusion

You invest a great deal of time and resources into putting together bids. It is important to make sure you are selecting the right projects that align with your company’s goals. One way to ensure this is by conducting an informed bid/no bid analysis that meets your goals while staying true to your long-term strategy going forward.

Smart bid management is essential to the successful preparation of a winning proposal. When it comes to ensuring a high probability of winning an RFP contract (Pwin), complete compliance can make or break your proposal. The Proposal & Contracts Suite is an out-of-the-box solution for proposal managers. Developed by Scion Analytics, the suite can help ensure Pwin by quickly creating a compliance matrix for efficient and accurate contract bidding.

Effective Color Team Reviewing

Effective Color Team Reviewing

If you are working for any company that writes proposals, there is a chance that they will ask to have your work reviewed by the color team. They are teams pre-determined by well-defined roles and focused goals.

A Color Team Review is an industry-standard practice in the world of business proposals. It is a planned, structured, and disciplined process to bring a contract response to a Request For Proposal (RFP) toward a winning completion.

What Is A Color Team Review?

There are key benefits of using the practice of Color Team Reviews in an RFP response. These benefits arise due to the nature of the Color Team Review discipline:

· These teams are planned in a logical, sequential order.

· There are increasing maturity goals in the development stages of the proposal.

· One color team must satisfy its objectives before the proposal is released to the color team next in line. These are like gates where the status of the working proposal will not be advanced unless completed.

· The focused concerns of each color team must be accomplished in a satisfactory way. Then it is determined to be forwarded to the next color team for its review.

Typical Color Team

Color Team Reviews are very helpful in the development of a compliant and winning proposal. The typical color team is composed of at least a pink, red, gold, and white team.

A proposal team will typically try to keep the same few people on each review so they can get consistent feedback from them during revisions. Keeping the same group of reviewers for pink and red teams is important to avoid inconsistent edits.

The gold team will have fewer reviewers, which typically consists of:

· the proposal manager

· the capture manager

· the operations manager

· the proposal volume managers

· a contract representative

Upon receiving a proposal, the team’s goal is to identify any inconsistencies or errors for them not only to be compliant but also successful. The number of people in this group may vary depending upon how big your company is. However, it should always have at least one person who can inspect all aspects from start to end with care and attention.

The next phase of the process is a review where each writer takes notes and feedback from their reviewers. They then go back into the document with what they have learned, integrating it for future reviews in preparation for developing an improved proposal.

Preparing For A Color Review

Before the color review, it is helpful to come prepared with all your key documents. You should also thoroughly understand what you are reviewing and know where any additional information can be found for this task to go smoothly.

Key documents will include:

Solicitation Documents

Without having an adequate context or understanding of the project, it will be difficult to contribute as a color team reviewer. Requests for Proposals (RFPs) tend to include long detailed information that is often unnecessary.

The review task can be streamlined by concentrating on:

· the RFP sections of C, L, and M,

· or the Performance Work Statement (PWS)/ Statement Of Work (SOW),

· or Instructions To Offerors (ITO),

· and Evaluation Criteria

This depends on the format of the proposal. These different sections focus on different concerns:

· Section C of the RFP and the PWS/SOW documents address the requirements of the work to be performed

· Sections L and M of the RFP and the ITO/Evaluation Criteria documents address instructions and evaluation

Many solicitations also have attachments, which may contain required templates and other compliance-related documents. If these are included in the solicitation, it is important to review them as well because this will help avoid any problems before they arise.

If you have the opportunity, read your proposal team’s outline and compliance matrix. These two documents will be prepared early in the writing process. They can help guide the review of this document’s compliance later on down the line with their input into things like structure or content.

The proposal team should have already prepared these two documents:

Compliance Matrix

An RFP Compliance Matrix is a grid-style tool used by proposal managers to identify, track, and address each requirement in a complex Request For Proposal (RFP).

Annotated Outline

Annotating your outline will help you with pre-writing and research. Instead of writing keywords, write out exactly what the paragraph is about.

Conclusion

When it comes down to ensuring a high probability of winning RFPs (the Pwin), complete compliance can make or break your proposal. So, whether you invest time to manually create a matrix yourself or use software that automates the process of creating one for you, attention to detail always pays off.

The Proposal & Contract Suite developed by Scion Analytics, can help ensure Pwin by quickly creating a compliance matrix for efficient and accurate contract bidding.

RFP Shaping

RFP Shaping

It might seem surprising, but you can tweak a Request For Proposal (RFP) to give your company a winning advantage over competitors. And it is legal and acceptable in the industry. RFP shaping is skewing the requirements of the federal agency to be suited in your favor.

The best of the government contractors shape requirements in a way to increase their win probability (Pwin). They wire contracts and seal deals with perfect proposals, all before other competitors can get started.

The government will try to move in the opposite direction for an even playing field for the competitors to not risk formal protests that it is biased. But the RFP can be successfully rewritten to win your proposal.

How To Shape An RFP

Following some important steps will ensure that the RFP requirements are rewritten and shaped for your favor and win, which will also prove to be unfavorable for the competitors’ capabilities. The areas that can be reshaped in your favor are the scope of work, the facilities being used, or the schedule. These steps listed below will highlight both your supremacy and best solution stature for the vendor:

· The earlier you build the relationship and become a trusted advisor for your clients, the better.

· Propose a solution that both benefits your company and meets their needs so well that the competitor has no chance to win the bid.

· Your recommendations should reflect the interests of both parties. You need to show that your solution is in line with what they want and follows all rules. There should be no preferential treatment, or someone will protest.

Reshape The RFP Scope Of Work

The best way to help your customers is by providing them with clear directions. Define the tasks and objectives that need solving in a manner that suits your company’s strengths, so that you can find a compelling solution for both parties involved to make sure they are on board.

Help the requesting customer define what tasks and objectives specifically need to be accomplished for their solution to be realized within your capabilities and goals.

Help define what metrics apply that fits your solution well. Use a confident prescriptive statement of work project rather than a generalized hope of accomplishment. State how the project will progress and at what costs. Offer the prescriptive type of work scope with fixed costs that is within your company goals as well. Should there be room for work scope negotiation? Should there be excluded work scope elements that are not favorable to your company? Demonstrate your company’s solid performance metrics which cannot be overshadowed by the competitors.

Reshape All RFP Aspects Of The Solution

Key personnel and resume requirements are the areas where you should shine. Demonstrate both your key personnel who will accomplish the project and their resume compliance with the agency’s requirements.

You can influence the future of your workplace by influencing what is required for it. In addition to facilities and resources, you might also want to look at qualifications that will help set standards in this field such as certifications or platform requirements.

Reshape The RFP Legal And Insurance Requirements

You have a great idea for an invention or software, but are you willing to give up the rights? Or will the government license your intellectual property from yourself? What does this mean for competition in terms of who can use it and how much they pay if at all.

If you will be working in a war zone or a foreign country, see if it would be in your best interest to require insurance policies. This might be what you already have but will take the competitors time to obtain.

Conclusion

There are a few things you can do to make sure that your company is at the top of mind when it comes time for RFPs. It might seem like an overwhelming process, but these steps will help highlight what makes your company unique and why they should choose you over all others.

A business proposal for the federal government is a complex document requiring great care and collaboration from many team players. A good way to ensure the proposal is well-developed is by using software technology enhanced with Artificial Intelligence (AI) and Natural Language Processing (NLP) capabilities.

The Proposal & Contracts Suite, an out-of-the-box solution, developed by Scion Analytics, can help ensure the efficient development of your RFPs.

Proposal Management Trends

Proposal Management Trends

The combination of the economic down trend in 2020 and massive expected growth for 2021 creates several interesting business conditions. We detail the five biggest trends companies can expect on proposal teams through the end-of-year, as well as offer an outlook into what is coming next year.

An Increase In Proposals

It is no wonder that, according to Loopio’s 2021 RFP Response Trends & Benchmark Report, 75% of companies expect a slight increase in Requests For Proposals (RFPs) during this year. The economic recovery has led to an increase in expected RFPs. The number of government projects and stimulus spending for their regions is on the rise. This means businesses will be looking into purchasing new services, tools, and equipment due to their increased revenue.

An Increased Importance Of Personalization And Expertise

Proposals will be issued at a greater rate in 2021, but they will also be harder to capture. Proposals will need to capture more attention than before by being more sophisticated. As proposal teams become increasingly sophisticated with their operations, quality has increased significantly. Clientele expects something that is customized just for them. This means demanding higher levels of expertise and personalization from all parties involved.

More Will Be expected From Proposal Teams With Less

Most companies also laid off staff last year. So, proposal and capture teams should expect to pass the year with smaller staffing than they have been accustomed to. It is understandable that the economic recovery will lead to greater demand for proposals but not be met by an increased headcount.

Top Performers Will Leverage Data

The most successful proposal teams leverage data technologies in these ways:

· Top performers tend to track metrics related to proposals, such as total revenue, bids submitted, and bids won. It is surprising that teams do not track profitability metrics or the relative strength of their opportunities. These less frequently tracked aspects are key in establishing a strong qualification process for potential business partners.

· The most successful proposal teams employ a decision-making process that has been informed by research and studies.

· High-performing proposal teams are more likely to utilize software that helps them organize their proposal content, track metrics, and make stronger qualification decisions. Teams leveraging technology report not only higher win percentages but also higher overall team satisfaction with less process stress as well.

Increased Importance In Strong Qualification Processes

A contradiction will be seen: With the economy recovering, most executives understandably might encourage more proposal responses. But this might also be seen as a distraction from other business concerns that are regarded as more important. Though most executives want their companies to pursue more proposals, many will regard it as not the most profitable business function.

This contradiction might be caused by a disparity between executives and proposal teams in their perspectives. A failed business proposal will be judged differently by either. It will be judged as having poor qualifications by the proposal team, while the executives will judge the proposal itself to be poorly written.

The proposal needs to be qualified diligently ahead of time. Companies should also use a standard method of rating the quality of received proposals. Team members can use data-backed win-loss analyses. This will demonstrate an impact upon chances of winning as well as improve their qualifications later.

How To Become A Federal Contractor

How To Become A Federal Contractor

The federal government is encouraging small businesses to pursue contracting opportunities. The process for registering as a contractor with them is more straightforward than most people think, but there are still some intricacies that need careful consideration before you begin.

What Is Federal Government Contracting?

The U.S government is the world’s largest customer, buying all types of products and services for its ever-growing needs. The government is also required by law to provide opportunities for small businesses as well as disadvantaged businesses

Government contracting basics involve many things to learn. The process for pursuing these opportunities requires many steps and can be challenging too. But if done right, it will be worth your time investment and can potentially produce lucrative results.

There are two types of government contractors:

· Principal contractors bid and win direct contracts from the government agencies

· Subcontractors work under the principal contractors providing niche products or services

There are two requirements for a small business to service a government contract:

· A legal qualification as a small business

· Registration as a government contractor

Then the small business can start seeking opportunities as either a prime contractor or subcontractor.

Necessary Compliance With Federal Contracting Rules

The federal government is very particular about how it purchases products and services. It aims to ensure that competition is fair in the marketplace. It wants to ensure that prices are competitive with fair access for all businesses who want a chance at supplying these goods or services. It wants what it pays for. It wants all laws to be obeyed.

Federal laws and regulations can be confusing, but it is important to follow them if you want your purchase or sale of goods from the federal government. The Federal Acquisition Regulations (FARs) and the Defense Federal Acquisition Regulations (DFARs) apply generally across most agencies in any given category. These should be reviewed first. Other organizations may have their own regulations as well.

Contract Awards For Small And Disadvantaged Businesses

The federal government is serious about rewarding small businesses. They try to award a significant percentage of all contracting dollars to these companies. But it is not always easy for them considering how many big businesses there are that also offer service at competitive prices.

The federal government is also trying to give a certain percentage of contracts and grants to:

· women-owned businesses

· minority-owned businesses

· service-disabled or veteran-owned small enterprises

There is an additional incentive for these entrepreneurs in that they can get money from the HUBZone program, which is the “Historically Underutilized Business Zone” Certification Program that reserves federal contracts for competition among small businesses that are located in certain urban and rural communities.

Conclusion

Entering the world of government contracting is not an easy process. It requires many things to know and certain basic steps. Contract compliance is indispensable for success. The Proposal & Contract Suite, which is a key component of the Content Analytics Platform (CAP), developed by Scion Analytics, can help ensure contractual compliance.

How Does Machine Learning Work?

How Does Machine Learning Work?

Machine Learning (ML) is everywhere. It is the backbone of both Netflix’s algorithm for suggestions and Google Search. Other companies like Apple and Facebook Messenger bots can use ML as well to make their business more profitable by making it easier on you.

The researchers at the Massachusetts Institute of Technology (MIT) found that no occupation will be untouched by ML but may not be desirable by all. The way to unleash its potential success is through reclassifying jobs into distinct tasks which can either be done automatically or manually. Some require humans while others do not.

What Is Machine Learning?

Artificial Intelligence (AI) is the science behind robots, computers, and other advanced technologies. ML provides a way to automate tasks by using algorithms that can be programmed with human-like abilities, so they learn on their own through experience.

Artificial Intelligence (AI) is the future of technology. This process creates computer models that exhibit intelligent behaviors like humans, according to Boris Katz, a principal research scientist, and head at CSAIL’s InfoLab Group. AI can recognize visual scenes, or recognize natural language text on their own, and are able to perform actions physically in our world.

ML is a type of AI that helps computers learn without being programmed. AI pioneer, Arthur Samuel, coined the term in 1958 to compare what happens when you program one instance (or controller) with another over time. But this process can be sped up by using algorithms instead.

In the years since its inception, many other innovations have been created from it including voice recognition tools such as Apple’s Siri or Amazon Echo. These devices use spoken words recorded into their databases for answers based on prior customer interactions.

“Machine learning is changing, or will change, every industry, and leaders need to understand the basic principles, the potential, and the limitations,” said MIT computer science professor Aleksander Madry, director of the MIT Center for Deployable Machine Learning.

How Machine Learning Works

Artificial Intelligence (AI) is a hot topic these days, and it seems like every company wants to incorporate some form of the technology. Machine Learning (ML) has become so popular that many people mistake them for one another without realizing there are differences between them. Both machine-based systems learn how something works over time as more data is collected.

Data Must Be Supplied First

A machine learning program starts with data — numbers, photos, sales transactions, or text. This can be anything from bank transactions to pictures of people and even bakery items. The more information the better because it helps train a model that will tell us how things work in context.

A Learning Model Is Chosen

In this process, programmers choose an ML model and let the computer train itself. They supply it with data that helps in finding patterns or making predictions of new outcomes from existing ones by using statistical analysis techniques. Humans can also tweak parameters so that they can help the ML output become more accurate over time.

How Businesses Use Machine Learning

How Businesses Use Machine Learning

Artificial Intelligence (AI) is the science behind robots and other advanced technologies. AI provides a way to automate tasks by using algorithms that can be programmed with human-like abilities, so they learn on their own through experience.

Machine Learning (ML) is a part of Artificial Intelligence. ML uses algorithms that can be compared to digital flowcharts with rules. These guide the computer through data analysis and pattern recognition without being specifically programmed for these goals beforehand. This is done instead of gathering insights from raw input or detecting patterns as they go along.

Main Subsets Of Machine Learning (ML)

Supervised Machine Learning

Supervised ML is a common way to train an algorithm, which starts with labeled datasets. For example, pictures of certain objects such as dogs or cats with labels can be absorbed into the algorithm. The machine is trained thereby to recognize the cats or dogs on its own.

The process of supervised ML training means that there are humans who have already decided what each piece of input looks like and how it should be categorized. This is for the purposes of our model’s predictions or decisions about future observations. The training can become more accurate over time as the learning continues.

Unsupervised Machine Learning

Unsupervised machine learning is a way to find patterns in unlabeled data. For example, an unsupervised program could look through online sales and identify different types of clients. These insights are gathered from their purchases by looking at their browsing habits or purchase history. This information might go unnoticed by humans.

Reinforcement Machine Learning

Reinforcement machine learning trains machines through trial and error to take the best action by establishing a reward system. Reinforcement learners can train models to play games or teach autonomous vehicles when they made the right decisions. These correct decisions help them learn over time what actions should be taken.

AI Subfields Of Machine Learning

There are several subfields associated with ML:

Natural Language Processing (NLP)

Natural Language Processing (NLP) is a field of ML that allows computers to understand human-speak and respond accordingly. It is the key component in building AI, which aims at creating software programs with adaptive behavior patterns based on inputs from natural sources. These can be speech recognition systems for smartphones or personal assistants using voice commands instead of text input boxes.

Neural Networks

Artificial neural networks are a kind of computer program that can learn to identify objects, patterns, or trends in data with the help of multiple layers. In the human brain, multiple thousands of processing cells or nodes are interconnected and organized by layers.

In the artificial neural network model, each cell or node receives a labeled data input. It then processes it according to its specific task to be then sent to another cell or node. Output evaluations of objects or data are made using this electronic filtering-processing system.

Deep Learning

Deep learning networks are neural networks with many layers. The layered structure allows them to process data and learn how individual links can be influenced by other nodes for it to make sense. For example, it is used in an image recognition system where some parts may detect features such as eyes or nose. Another layer determines

whether those specific objects appear together often enough that this could mean someone is supposed to have been spotted.

Business Uses For Machine Learning

Below are some common ways that businesses are using ML:

Automated Chatbots

The bot is an innovative way for companies to reach out and interact with customers. The bots use ML and NLP skills as well as records of past conversations in order to provide appropriate responses on demand

Self-Driving Cars

ML is a branch of AI that deals with the identification and understanding of patterns in data without relying on explicit instructions. This technology has been used to power self-driving cars, where it helps vehicles learn about their environments by analyzing sensor inputs such as camera images or radar readings.

Medical Diagnostics

ML programs can be trained to examine medical images or other information and look for certain markers of illness. Much like a tool that predicts cancer risk based on mammograms.

Fraud Prevention

Machines are becoming more and more advanced. They can analyze patterns, like how someone normally spends or where they normally shop. These help to identify potentially fraudulent credit card transactions with just a few clicks of the mouse.

Product Recommendations

The ML behind the recommendation engines on Netflix and YouTube is what determines your Facebook feed, as well as product recommendations.

Subject Matter Experts

Subject Matter Experts

One of the most important things for businesses to have is a Subject Matter Expert (SME). The SME is a person who is well-skilled in a particular product or service, a particular job, machine, function, or technology, etc. These individuals can provide direction and guidance on what needs doing in order to help your company grow. They can offer advice when needed about how best to approach certain tasks or problems at hand.

What Are Subject Matters?

A Subject Matter Expert (SME) is someone who has the knowledge and skills to solve specific problems or help meet challenges in their field. They can sometimes serve as an expert witness for lawsuits, but this depends on what kind of expertise they have specifically related to law cases.

SMEs are retained by corporations or law firms to leverage their particular expertise to guide projects, address needs, or solve problems. SMEs can serve in lawsuits or legal actions with their testimony of expertise.

A Subject Matter Expert (SME) is a person who has in-depth knowledge and experience with specific topics. They can be found in all areas of any business, from information technology to customer support.

Subject Matter Examples

Information Technology SMEs

Information Technology (IT) professionals are in contact with various SMEs when integrating new software applications or fixing bugs that were discovered during testing. For example, a company may want to know whether they can trust the new application being developed for their smartphones. This is because it has not been tested with other applications yet. The Data Management Specialist will help the team understand how they can extract and format their marketing project’s data in an organized fashion.

Architectural SMEs

Engineers and architects will call on experts when considering new building technologies or design approaches.

Project Teams SMEs

When it comes time to solve a new type of problem, project teams need help from SMEs. These individuals know more specifically what they’re doing and can provide the correct information for your company’s process or product line-up to be successful.

Expert Witness SMEs

Expert witnesses are called upon to give expert opinions in law court cases, especially liability lawsuits.

Innovator SMEs

Innovators who are striving to innovate will often draw upon the originator or an outside specialist when they need help with a technical challenge.

Company Training Program SMEs

Companies hire SMEs to help develop training programs for new employees.

Social Media SMEs

A social media marketing expert with extensive experience in the field may be able to train your team on how best to use these platforms for success.

Importance Of Subject Matter Experts In Government Contracting

Federal government agencies have many stringent and detailed requirements for their project needs. These requirements must be met. And the federal agency must be convinced of a vendor’s competency before it will seriously consider hiring that vendor. Only by employing SMEs in a

particular field under discussion can a vendor ensure competent and compliant service for the federal agency.

Limitations Of Subject Matter Experts

One of the unique challenges about being an expert in anything is that you may not know as much outside your field. This means it is important to keep up to date on what other fields are doing and how those things relate back to yours.

SMEs Know Too Much

The truth is that there is not always a simple answer to what customers need and want. SMEs may have difficulty answering a question with a straightforward resolution. They are aware of too many variables and contingencies for the customer’s environment and problem.

SMEs Cannot Write According To The Proposal Style

Unfortunately, these experts are ill-prepared to work within a stringent compliance-driven proposal outline. They would tend toward lengthy technical discussion, and the imposed ridiculous page limits would significantly hamper their expressed knowledge.

Conclusion

Subject matter experts (SMEs) are necessary to almost every proposal. They can provide lessons learned and make recommendations for continuous process improvements. It is important that they work on contract with your customer since SMEs know what needs to be done best of all.

A business proposal for the federal government is a complex document requiring great care and collaboration from many team players. A good way to ensure the proposal is well-developed is by using software technology enhanced with Artificial Intelligence (AI) and Natural Language Processing (NLP) capabilities.

The Proposal & Contracts Suite is an out-of-the-box solution developed by Scion Analytics, which can help ensure the efficient development of your RFPs.

Everyday Helpful Artificial Intelligence

Everyday Helpful Artificial Intelligence

It is possible that most people are intimidated with the topic of Artificial Intelligence (AI), or they do not find the subject relevant to everyday life. It probably sounds more like science fiction rather than something as useful as a hammer or screwdriver.

Despite these attitudes, the fact is that AI is already very much a part of everyday life. It is so much a very useful part of everyday life that most people would hate to be without it if that were even possible. We will look at some everyday uses of AI which greatly benefits vast numbers of people everywhere.

AI machines can remember behavior patterns and adapt their responses to conform with those behaviors or encourage changes. AI is a computerized method in which data collection, statistical analysis, and learning from experience through specifically designed algorithms are learned. These learnings are combined into one process that enables computers to act on information based on what they have learned thus far. This is accomplished without requiring humans directly guiding them every step of the way.

AI is a comprehensive field. The most important technologies that make up AI include Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP).

Machine Learning (ML) is an AI technique where machines learn how better to respond based on structured datasets and ongoing feedback from humans or algorithms.

Deep Learning is often thought to be a more advanced kind of ML because it learns through representation, but the data does not need to be structured.

Natural Language Processing (NLP) is a field of study that uses the power and skillfulness of human beings to create computer languages. These tools allow machines, such as those in Google’s search engine or Apple’s Siri program for iPhone, translate between different forms that humans speak. It uses spoken words on the one end, which are translated into ones containing numerical data at another end.

Navigational Maps

AI has drastically improved traveling. Instead of having to rely on printed maps or directions, you can now use Google Maps with just the tap of your phone screen.

Facial Recognition

Virtual filters on the face and using face ID to unlock phones are two examples that incorporate AI technology into modern society. One is identifying human faces while another uses recognition software for surveillance or security purposes in government facilities as well at airports.

Text Autocorrection

AI algorithms are being used to identify incorrect usage of language, suggesting corrections in word processors and every other written medium.

Search And Recommendations

With the help of your online activity, smart recommendation systems can make suggestions that will be aligned with what you like. This way they can learn about and deliver products tailored just for you.

Chatbots

Chatbots are an AI solution to the modern-day conversational demands of customers and employees alike. The programmable algorithms enable machines to answer frequently asked questions or take orders for products.

Digital Assistants

Digital assistants have been an integral part of our lives since they were first created. They can do everything from making phone calls to finding out what you are looking for in the moment. It is becoming easier every day thanks to AI-powered voice search technology like Siri or Google Assistant. These work tirelessly behind the scenes using Natural Language Processing (NLP), Machine Learning (ML) algorithms. These analyze datasets compiled by humans through statistical analysis techniques such as linear regression or Hidden Markov Models–to find relevant information about anything.

Social Media

As AI becomes more advanced, social media applications are using the technology to monitor content and serve advertisements.

E-Payments

Imagine being able to do your banking transactions from the comfort of home. Bank branches are now using AI to simplify payment processes and make it easier than ever before. Using intelligent algorithms have made it possible to make deposits, transfer money, and even open accounts from anywhere. They use AI for security, identity management, and privacy controls.