QUICK FILTERS
Featured
6 min read
Josh Lemoine
One AI has been a component of One Model since nearly the beginning of the company’s existence. It is an integral part of the One Model platform and, as such, the team that develops One AI features aligns with the core principles of One Model. That said, there are also some more nuanced priorities that the team has remained focused on over the years. These additional core principles relate specifically to the fields of machine learning and data science. When we set out to develop a new version of our forecasting capabilities, the team kept sight of the principles that have guided the creation of the product over the years. The new forecasting capabilities combine ease of use with powerful configurability and are available right where you want them: in Storyboards. If you’re a One Model customer or considering being one, you may be interested in knowing what drives the shape of the product. Let’s take an inside look at important concepts to developing One AI functionality achieved by tying the forecasting features to the following guiding principles. Transparency In the beginning, One AI consisted of a single data scientist tackling projects in notebooks. Showing the work involved in an analysis was just part of the process. The usefulness of doing so was apparent, and ethics and transparency became core values integral to the development of One AI over the years. One of the recent enhancements to forecasting provides greater transparency into which forecasting method was leveraged and how it was configured. We added an information icon to clearly indicate that additional information is available. Performance scores are provided if situational intelligence was used to choose a forecasting method. Ease of Use As One AI has matured, we've placed a lot of emphasis on ease of use. Simply put, you don’t need to have a background in statistics or data science to get value from One AI. Embedded Insights (of which forecasting is an example) and One AI Recipes are examples of tools that improve the accessibility of One AI. Running a forecast has always been easy. The appearance of the lightbulb icon makes it clear when a forecast is available. Now, the "easy button" is more powerful. One AI can automatically select between a curve fit model and an autoregressive integrated moving average (ARIMA) model based on the data contained in the trend, using AIC model scores that balance model complexity and fit. In simpler terms, One AI is increasingly leveraging situational intelligence to determine the best configuration without the user having to manually configure settings. Powerful and Configurable The skills of the future are becoming the skills of the present. Python, R, and other data science-related skills are on the rise in a significant way. More and more One Model users possess these skills. The team developing One AI has always strived to create tools configurable enough to benefit data scientists. Having machine learning and statistical capability available in the same platform as the people data the analysis is being performed on is a driver of efficiency and data security. One Model users now have the option to manipulate both general and model-specific settings related to forecasting. General settings include the ability to select the number of periods to predict, confidence interval, and bounds. If you don’t want One AI to select a forecasting model automatically, you can manually choose from Curve Fit, ARIMA, and Prophet. Taking things a step further, you can allow One AI to automatically select the best settings for that model based on the trend data, or you can configure custom settings pertaining specifically to each forecasting model. Facilitates Learning Making complex things accessible to more people creates opportunities for learning to occur. The team at One Model has been on a One AI documentation bender and has been busy creating resources to help our users. We’re also increasingly integrating additional information and context into the places where the user can benefit most from it. This is delivered through inline text, tooltips, and information popups. The main risk in forecasting is in interpreting the results. When we designed the forecasting enhancements, we introduced an information icon to tiles where forecasting is available. Tooltips were also employed to define each of the available settings. Cutting-Edge Technology In the world of data science and AI, things move fast. Generative AI is the most immediate and vivid example of this. It's an industry where you must innovate or be left behind. At One Model, we recognize this. We don’t jump on every new tech bandwagon, but we keep a finger on the pulse of innovation in the space. When it comes to forecasting, One Model offers several techniques. Two methods, curve fit and ARIMA, are tried and tested and have been around for a relatively long time. They’re sometimes referred to as “classical techniques”. The third, Prophet from Meta, is a more “modern” forecasting library. In the recent forecasting enhancements, we made our Prophet option more powerful by exposing many configuration options. Closing Thoughts Hopefully, this article has provided some visibility into the thinking behind the product decisions the team at One Model makes when developing One AI tools. We’re fortunate to be layering these tools on top of One Model’s industry-leading data integration, modeling, and visualization capabilities. We strive to deliver the best AI on the best people analytics platform.
Read Article
Featured
4 min read
Dennis Behrman
In the world of business, talent is everything. Having the right people in the right positions can make or break an organization. That's why predictive modeling has become such a valuable tool in workforce management. Predictive modeling helps organizations make data-driven decisions about their talent, ensuring that they are hiring, promoting, and retaining the right people for their business. One AI is a platform that takes predictive modeling to the next level. One AI is hands-down, the fastest and easiest way to build a predictive model that is transparent, defensible, and accurate. It also adds the benefit of modeling only your data, and not the data from outside entities. This highly-ethical approach to predictive modeling of workforce data results in better, faster talent decisions while also being future-proof for the coming wave of regulations around artificial intelligence. One of the most compelling features of One AI is the One AI Recipes feature. One AI Recipes is a pre-built predictive modeling tool that allows users to build a model in minutes. With just a few clicks, users can import their data, select the desired outcome, and generate a predictive model. One AI Recipes can be used to predict a wide range of outcomes, including employee turnover, performance, and engagement. One AI Recipes is designed to be simple and intuitive. Users do not need to have any prior experience with predictive modeling to use One AI Recipes. The platform guides users through each step of the process, ensuring that they are making informed decisions based on their data. Predict Anything with the Data You Currently Have Another benefit of One AI Recipes is that it is highly tailored to each specific organisation where it is used. Analytics and data scientists can adjust the model parameters in natural language to fit their specific needs. For example, the no-code interface creates a model that focuses on the specific factors that are important to the scope of their predictions, such as job satisfaction, turnover, retention, development, region, level, and so on. One AI Recipes is also highly accurate. The platform uses advanced machine learning algorithms to analyze the data and generate predictions. This means that the predictions are based on the most up-to-date and relevant data available. Now You Can Defend Your Forecasts Perhaps most importantly, One AI Recipes is transparent and defensible. The platform provides users with a clear explanation of how the model was generated and what factors were considered. This allows users to understand the logic behind the predictions and to make informed decisions based on the data. We're confident that One AI Recipes is the most powerful tool for workforce managers yet. It allows leaders to make data-driven decisions about their talent quickly and easily, while also ensuring that those decisions are ethical and defensible. With One AI Recipes, predictive modeling is no longer the domain of data scientists and analysts. It is now accessible to anyone who wants to make better, faster talent decisions. Request a Personal Demo to See How Easily You Can Predict People Outcomes
Read Article
Featured
4 min read
Tony Ashton
As you saw in the last One Model product update we are really focused on delivering a compelling capability for Storytelling with Data. Our storyboarding capability is designed to harness the power of One Model’s amazing Data Orchestration and OneAI platforms to unify your data and provide predictive insights to drive better decisions and business outcomes. Key storyboarding capabilities we covered in the last release included new data visualizations, new data visualization options/control, filter search, geo-mapping and the ability to Export to PowerPoint. In solving people analytics challenges one of the most useful tools at our disposal is correlations. Understanding if two variables are significantly related is critical to drive understanding and well designed interventions. However, something I rarely hear is someone say: "I got into HR because I really love statistics". An important part of our Storyboard vision is to democratize AI and provide statistical decision support across the entire One Model platform. In the last update we shared details of our real-time forecasting within Storyboards and building on this, we have been working on delivering a wide range of statistical services in the hands of all users. With One Model you have long had the ability to create scatterplots to visually understand the relationship between two variables and identify notable clusters or trends. Within a scatterplot you now have the ability to run a Correlation or show a Line of Best Fit to determine the statistical relationship between two metrics to answer questions such as “What is the relationship between employee engagement and retention?” Taking this to the next level, we have created an explanatory layer that interprets the statistics of the correlation and provides a simple explanation for anyone to understand the results. The explanation appears as text sitting above the chart and describes whether or not there is a correlation, to what degree, as well as the likely significance. Additionally, if you click the info icon you will be able to get more details about the actual correlation and significance values, the formula and definition of the metrics in play and details of how to understand correlations and significance. There is also a link to an even more comprehensive guide in our help portal. This is a game changer for HR, managers, or anyone using data to make decisions. For the Data Scientists and Statisticians out there, OneAI uses an automatic heuristic to determine which correlation metric to display to the user. This heuristic chooses between the Pearson Correlation Coefficient, the Spearman Ranked Coefficient, and the Cramer’s V Statistic. If both incoming datasets are numeric, and the relationship between those datasets is linear, then the Pearson Correlation Coefficient will be displayed to the user. If the two incoming datasets are numeric but not linearly related, then the Spearman Ranked Coefficient is used. If the two datasets are categorical, a Cramer’s V Statistic is displayed. We have also added an option to specifically pick what correlation will be used for a given visualization if you want to override the automatic heuristics from One Model. These are just a couple of examples of how One Model is taking Storytelling with Data to the next level with embedding insights. We have a lot more capability like this coming in our product roadmap and we can’t wait to get it into your hands. Here’s a quick video showcasing the latest Embedded Insights within One Model. One Model provides a people analytics platform that pulls together all your workforce data into one place for faster, better, evidence-based workforce decisions through flexible storyboards and advanced machine learning.
Read Article
Ready to Get the Most Out of Your HR Data?
