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CAS-PA ServiceNow Certified Application Specialist - Performance Analytics thinking |

CAS-PA thinking - ServiceNow Certified Application Specialist - Performance Analytics Updated: 2024

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Exam Code: CAS-PA ServiceNow Certified Application Specialist - Performance Analytics thinking January 2024 by team
ServiceNow Certified Application Specialist - Performance Analytics
ServiceNow Application thinking

Other ServiceNow exams

ServiceNow-CSA ServiceNow Certified System Administrator 2023
Servicenow-CAD ServiceNow Certified Application Developer
Servicenow-CIS-CSM Certified Implementation Specialist - Customer Service Management
Servicenow-CIS-EM Certified Implementation Specialist - Event Mangement
Servicenow-CIS-HR Certified Implementation Specialist - Human Resources
Servicenow-CIS-RC Certified Implementation Specialist - Risk and Compliance
Servicenow-CIS-SAM Certified Implementation Specialist - Software Asset Management
Servicenow-CIS-VR Certified Implementation Specialist - Vulnerability Response
Servicenow-PR000370 Certified System Administrator
Servicenow-CIS-ITSM Certified Implementation Specialist IT Service Management
ServiceNow-CIS-HAM Certified Implementation Specialist - Hardware Asset Management
CIS-RCI ServiceNow Certified Implementation Specialist - Risk and Compliance (CIS-RCI)
CAS-PA ServiceNow Certified Application Specialist - Performance Analytics
CIS-FSM ServiceNow Certified Implementation Specialist - Field Service Management
CIS-VRM ServiceNow Vendor Risk Management
CIS-CPG ServiceNow Certified Implementation Specialist - Cloud Provisioning and Governance (CIS-CPG)

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Question: 134
What does anti-signal indicate in KPI Signals?
A. No signal has been detected
B. Long-term stability
C. Abnormal variation in the scores of a KPI
D. A workflow has changed
Answer: B
Question: 135
Which of the following are suggested when you type in a query on Analytics Q&A? (Choose three.)
A. accurate searches
B. Tables and columns
C. Breakdowns
D. Indicators
Answer: A,B,D
When you use Analytics Q&A, the suggestions from previous searches are now shown together with the suggested
indicators, tables, and columns.
As you type in a query, Analytics Q&A suggests accurate searches, indicators, tables, and columns that match what you
have typed so far. Only the tables and columns to which you have access are shown.
If Analytics Q&A cannot determine which table you want, it shows you up to three likely tables.
Question: 136
What role is required to create personal targets and thresholds for users who can view an indicator on the Analytics
A. pa_viewer
B. pa_target_admin
C. pa_threshold_admin
D. No role
Answer: D
On the Analytics Hub, no roles are required to create personal targets and thresholds.
A threshold or a target can be personal or global.
A personal threshold or target is visible only to the user that created it.
A personal threshold appears as a light grey dotted line. A personal target appears as a dark line.
Personal thresholds and targets appear only on the Analytics Hub and KPI Details but not on widgets.
Question: 137
Which of the following can you do when you set a target for an indicator on the Analytics Hub? (Choose three.)
A. Set the improvement as a percentage.
B. Set a review date on which to consider updating the target.
C. Set the threshold as an improvement on the average score.
D. Set a start date in the future.
Answer: A,B,D
You can set target values for indicators. When you set a target for an indicator on the Analytics Hub, you can now do
the following:
* Set a start date in the future.
* Set a review date on which to consider updating the target.
* Set the target as an improvement on the average score or on the previous target. You can set the improvement as a
You can have the targets apply only to specific breakdown elements and time series. The target starts to apply at a
selected date and continues to apply until you set the next target. However, you can set a review date on which to
reconsider the target.
Question: 138
How do you create and associate breakdowns on the breakdown source form?
A. By selecting the 'New' button on the 'Breakdowns' related list
B. From the 'Additional actions' menu
C. From the 'Create Breakdowns' related link
D. By adding multiple 'Facts tables' under the Source tab
Answer: A
A breakdown source is defined as a set of records from a table or database view or as a bucket group. Multiple
breakdowns can use the same breakdown source.
Breakdown sources specify which unique values, called breakdown elements, a breakdown contains.
Breakdown source records have a related list that lists the breakdowns that are based on that source. You can create a
breakdown by selecting the New button while in this list. The list works like the Indicators list on indicator source
Other options in this question do not exist on the breakdown source form.
After you create breakdowns that use this source, these breakdowns are listed in the Breakdowns tab.
Question: 139
How does KPI Signals support notifications?
A. By forwarding email notifications
B. By automated signal detection jobs
C. Through regular back-ups
D. By setting auto-reply responses
Answer: B
To support notifications, the KPI Signals application provides automated signal detection jobs. For formula indicators,
you can modify the jobs to line up with the data collection jobs for the contributing indicators.
The KPI Signals application includes jobs that detect signals automatically. These jobs run so responsible users can be
notified of new signals without opening the application. The job for signals on formula indicators requires scheduling.
When you view an indicator in KPI Details and open the KPI Signals panel, that indicator is checked for signals. You,
therefore, always have the most up-to-date signals. However, the KPI Signals application also has automated signal
detection jobs. These jobs send notifications about signals to subscribed users without them having the application
Question: 140
What is an easy way for a responsible user to get real-time updates on the signals for a
particular KPI?
A. Monitoring the signal score on a dashboard
B. Receive email notifications
C. Schedule a report for the signal data
D. Manually check the KPI doe signals
Answer: B
As a responsible user, you can receive email notifications about new or unresolved signals, anti-signals, or any actions
taken on signals.
You can configure how frequently you get these reminders and the maximum number of reminders to get for a signal.
You no longer have to open KPI Signals and manually check each KPI for signals. Scheduling a report for the signal
data does not provide real-time updates. Manually check the KPI for signals and monitoring the signal score on a
dashboard requires the user to constantly check for the updates without a pause, which is not easy.
Question: 141
How should an admin activate the KPI Signals?
A. Raise a ServiceNow Support (HI) request
B. Request from the ServiceNow Store
C. It is active by default
D. Activate the sn-kpi-signals plugin
Answer: C
You no longer have to activate the KPI Signals ( plugin. It is active by default.
If you do not want this feature, request a Now Platform administrator to set the property to false. Because this property does not exist by default,
the administrator must add it.
If you reactivate KPI Signals, signal detection resumes from the time you originally deactivated the feature, not from
the time you reactivated it.
Question: 142
What calendar type can you use to analyse scores using time periods?
A. Team Calendar
B. Maintenance Calendar
C. Custom Business Calendar
D. On-Call Calendar
Answer: C
Analyse scores using time periods from a custom business calendar instead of only the standard calendar.
When you are creating an Indicator Source, you can select either the standard calendar or a business calendar defined
on the instance.
If you use a business calendar, you can create data collection jobs that run on the Business Calendar: Entry start or
Business Calendar: Entry end times.
If you select a business calendar, you have the Calendar Frequency field. This field is required. The business calendar
you selected determines the range of available frequencies.
(Optional) If you have configured this indicator source to use a business calendar, set the number of periods to retain
scores and snapshots and find seasonal patterns.
Question: 143
What role or access do users need to act on a signal to reset a baseline or dismiss a signal?
A. Responsible users without workspace access
B. Users with the admin. pa_admin. or pa_kpi_signal_admin role without being a responsible user
C. Only users with the admin role
D. Users irrespective of their level of responsibility
Answer: B
Users with the admin, pa_admin, or pa_kpi_signal_admin role can reset a baseline or dismiss a signal without being a
responsible user.
Users with other roles must become responsible users to take such actions. These users also need a role that gives them
access to a relevant workspace.
You can assign responsibility for KPI Signals for a KPI to yourself or someone else. You can also unassign

ServiceNow Application thinking - BingNews Search results ServiceNow Application thinking - BingNews ServiceNow: No End In Sight
Customer Satisfaction Survey Concept, Users Rate Service Experiences On Online Application, Customers Can Evaluate Quality Of Service Leading To Business Reputation Rating.

Thapana Onphalai

I've written about ServiceNow (NYSE:NOW) a couple of times, and I am continually impressed every time I revisit them. I first bought shares in 2018, with that lot up 280% from purchase. I've added to that position, and the company is in my

Mon, 01 Jan 2024 21:46:00 -0600 en text/html
Looking At ServiceNow's accurate Unusual Options Activity

Investors with a lot of money to spend have taken a bearish stance on ServiceNow NOW.

And retail traders should know.

We noticed this today when the trades showed up on publicly available options history that we track here at Benzinga.

Whether these are institutions or just wealthy individuals, we don't know. But when something this big happens with NOW, it often means somebody knows something is about to happen.

So how do we know what these investors just did?

Today, Benzinga's options scanner spotted 15 uncommon options trades for ServiceNow.

This isn't normal.

The overall sentiment of these big-money traders is split between 13% bullish and 86%, bearish.

Out of all of the special options we uncovered, 7 are puts, for a total amount of $787,430, and 8 are calls, for a total amount of $655,150.

Expected Price Movements

Taking into account the Volume and Open Interest on these contracts, it appears that whales have been targeting a price range from $560.0 to $705.0 for ServiceNow over the last 3 months.

Analyzing Volume & Open Interest

Looking at the volume and open interest is an insightful way to conduct due diligence on a stock.

This data can help you track the liquidity and interest for ServiceNow's options for a given strike price.

Below, we can observe the evolution of the volume and open interest of calls and puts, respectively, for all of ServiceNow's whale activity within a strike price range from $560.0 to $705.0 in the last 30 days.

ServiceNow 30-Day Option Volume & Interest Snapshot

Noteworthy Options Activity:

Symbol PUT/CALL Trade Type Sentiment Exp. Date Strike Price Total Trade Price Open Interest Volume
NOW PUT SWEEP BEARISH 01/19/24 $680.00 $335.4K 584 26
NOW CALL TRADE BEARISH 02/16/24 $700.00 $286.6K 335 34
NOW PUT TRADE BEARISH 02/16/24 $680.00 $188.1K 197 9
NOW CALL TRADE BULLISH 01/12/24 $560.00 $133.0K 0 10
NOW PUT TRADE BEARISH 01/05/24 $705.00 $72.0K 67 35

About ServiceNow

ServiceNow Inc provides software solutions to structure and automate various business processes via a SaaS delivery model. The company primarily focuses on the IT function for enterprise customers. ServiceNow began with IT service management, expanded within the IT function, and more recently directed its workflow automation logic to functional areas beyond IT, notably customer service, HR service delivery, and security operations. ServiceNow also offers an application development platform as a service.

Following our analysis of the options activities associated with ServiceNow, we pivot to a closer look at the company's own performance.

Present Market Standing of ServiceNow

  • Trading volume stands at 258,744, with NOW's price down by -3.88%, positioned at $679.1.
  • RSI indicators show the stock to be is currently neutral between overbought and oversold.
  • Earnings announcement expected in 22 days.

Expert Opinions on ServiceNow

In the last month, 1 experts released ratings on this stock with an average target price of $770.0.

  • Consistent in their evaluation, an analyst from Argus Research keeps a Buy rating on ServiceNow with a target price of $770.

Options are a riskier asset compared to just trading the stock, but they have higher profit potential. Serious options traders manage this risk by educating themselves daily, scaling in and out of trades, following more than one indicator, and following the markets closely.

If you want to stay updated on the latest options trades for ServiceNow, Benzinga Pro gives you real-time options trades alerts.

© 2024 Benzinga does not provide investment advice. All rights reserved.

Tue, 02 Jan 2024 01:00:00 -0600 en text/html
ServiceNow's Options Frenzy: What You Need to Know

Whales with a lot of money to spend have taken a noticeably bearish stance on ServiceNow.

Looking at options history for ServiceNow NOW we detected 8 trades.

If we consider the specifics of each trade, it is accurate to state that 37% of the investors opened trades with bullish expectations and 62% with bearish.

From the overall spotted trades, 3 are puts, for a total amount of $184,739 and 5, calls, for a total amount of $228,315.

Projected Price Targets

After evaluating the trading volumes and Open Interest, it's evident that the major market movers are focusing on a price band between $300.0 and $1000.0 for ServiceNow, spanning the last three months.

Insights into Volume & Open Interest

Examining the volume and open interest provides crucial insights into stock research. This information is key in gauging liquidity and interest levels for ServiceNow's options at certain strike prices. Below, we present a snapshot of the trends in volume and open interest for calls and puts across ServiceNow's significant trades, within a strike price range of $300.0 to $1000.0, over the past month.

ServiceNow Call and Put Volume: 30-Day Overview

Significant Options Trades Detected:

Symbol PUT/CALL Trade Type Sentiment Exp. Date Strike Price Total Trade Price Open Interest Volume
NOW PUT SWEEP NEUTRAL 09/20/24 $1000.00 $119.6K 0 1
NOW CALL TRADE BULLISH 06/21/24 $300.00 $82.4K 3 0
NOW CALL TRADE BEARISH 01/19/24 $600.00 $53.4K 757 0
NOW CALL TRADE BULLISH 06/21/24 $550.00 $35.7K 54 2
NOW PUT SWEEP BEARISH 01/05/24 $705.00 $35.2K 36 0

About ServiceNow

ServiceNow Inc provides software solutions to structure and automate various business processes via a SaaS delivery model. The company primarily focuses on the IT function for enterprise customers. ServiceNow began with IT service management, expanded within the IT function, and more recently directed its workflow automation logic to functional areas beyond IT, notably customer service, HR service delivery, and security operations. ServiceNow also offers an application development platform as a service.

After a thorough review of the options trading surrounding ServiceNow, we move to examine the company in more detail. This includes an assessment of its current market status and performance.

Where Is ServiceNow Standing Right Now?

  • With a trading volume of 133,075, the price of NOW is down by 0.0%, reaching $701.23.
  • Current RSI values indicate that the stock is may be approaching overbought.
  • Next earnings report is scheduled for 28 days from now.

Professional Analyst Ratings for ServiceNow

A total of 2 professional analysts have given their take on this stock in the last 30 days, setting an average price target of $747.5.

  • An analyst from Wells Fargo persists with their Overweight rating on ServiceNow, maintaining a target price of $725.
  • Maintaining their stance, an analyst from Argus Research continues to hold a Buy rating for ServiceNow, targeting a price of $770.

Options are a riskier asset compared to just trading the stock, but they have higher profit potential. Serious options traders manage this risk by educating themselves daily, scaling in and out of trades, following more than one indicator, and following the markets closely.

If you want to stay updated on the latest options trades for ServiceNow, Benzinga Pro gives you real-time options trades alerts.

© 2024 Benzinga does not provide investment advice. All rights reserved.

Wed, 27 Dec 2023 02:46:00 -0600 en text/html
ServiceNow Strikes Deal To Buy Observability Tech Developer Lightstep

Lightstep’s software is used by DevOps teams to analyze system-wide metrics, tracing data and logs in real time to understand the cause and effects of changes to application performance and reliability, accelerating cloud application development.

Digital workflow software vendor ServiceNow is acquiring Lightstep, a developer of system observability technology, in what ServiceNow says is one of its biggest acquisitions.

Monday ServiceNow announced an agreement to buy Lightstep but did not disclose the financial terms of the deal. ServiceNow expects to complete the acquisition by the end of the current quarter.

Lightstep, based in San Francisco, develops next-generation application monitoring and observability tools used by DevOps engineers to build, deploy, run and monitor cloud-native applications. The company’s software is used by GitHub, Spotify and Twilio, according to ServiceNow

[Related: ServiceNow ‘Quebec’ Brings Workflow Development, AI Capabilities To Wider Audience]

Lightstep was founded in 2015 by CEO Ben Sigelman, Chief Operating Officer Ben Cronin and Chief Architect Daniel Spoonhower. Team members at the company advanced modern observability through work at Google on tracing and metrics monitoring and created both the OpenTracing and OpenTelemetry open-source projects.

The underlying technology of the Lightspeed software analyzes system-wide metrics, tracing data and logs in real time to understand the cause and effects of changes to application performance and reliability and accelerate “development velocity” without compromising quality, according to ServiceNow.

“Today, observability primarily benefits the DevOps teams that build and operate mission-critical apps,“ said Ben Sigelman, CEO and co-founder at Lightstep, in a statement. ”We‘ve always believed that the value of observability should extend across the entire enterprise, providing greater clarity and confidence to every team involved in these modern, digital businesses.”

“By joining ServiceNow, together we will realize that vision for our customers and help transform the world of work in the process – and we couldn‘t be more excited about it,” Sigelman said.

By adding Lightstep’s capabilities to its technology portfolio, ServiceNow can extend its reach beyond IT service management and IT operations management to a customer’s DevOps teams.

ServiceNow also will apply Lightstep’s observability capabilities “across the enterprise through digital workflows that convert real-time insights into action across all the technologies, people and processes that enable digital businesses,” the company said in a statement.

ServiceNow’s Now Platform coordinates technical and team responses and actions around workflow changes that drive digital transformation.

“Customers will be able to more easily monitor and respond to critical signals and indicators of software health using Lightstep’s capabilities with ServiceNow’s IT workflows solutions’ ability to weave disparate elements into a seamless digital fabric,” ServiceNow said in a statement. “This gives business the confidence and clarity to drive faster innovation and better outcomes across the entire digital experience.”

“Companies are betting on going digital in order to thrive in the 21st century, but the transition is often challenging to navigate,“ said Pablo Stern, senior vice president, IT workflow products at ServiceNow, in a statement. ”With Lightstep, ServiceNow will transform how software solutions are delivered to customers. This will ultimately make it easier for customers to innovate quickly. Now they‘ll be able to build and operate their software faster than ever before and take the new era of work head on with confidence.”

Altogether ServiceNow has made nearly 20 acquisitions going back to 2013, including four AI technology-related acquisition is 2020. In March ServiceNow struck a deal to buy Intellibot, an India-based developer of robotic process automation technology.

Mon, 10 May 2021 05:26:00 -0500 text/html
WOXSEN University Collaborates With ServiceNow To Offer Academic University Program No result found, try new keyword!encourage critical thinking and higher understanding of digital skills, while in the University. The program incorporates practical simulations, with access to ServiceNow Application Developer ... Tue, 17 Oct 2023 01:32:00 -0500 en-US text/html Examining Generative AI's Transformative Effects

By Sophia Velastegui

C200 member Sophia Velastegui is the Chief Product Officer of Aptiv, a pioneering automotive and autonomous tech company. Sophia has served as Chief Technology Officer for AI at Microsoft within the Business Applications group, where she played a role in advancing traditional AI and OpenAI/ChatGPT. She has held significant roles at tech giants Google/Alphabet & Apple. Sophia also serves as board director for Blackline (NASDAQ:BL).

As we continue to navigate the dynamic intersection of technology and business, it is essential for corporate leadership to reflect on the advancements that continue to redefine the business landscape. At the forefront of this transformation stands ChatGPT, an innovation that not only warrants acknowledgment but demands a thoughtful analysis of its ripple effects on all business models.

ChatGPT: A Brief Overview

ChatGPT, the most prominent example of cutting-edge Generative AI, has emerged as a game-changer in the AI landscape. Developed by OpenAI, it represents a remarkable leap forward, pushing the boundaries of what was once thought possible in AI language models and beyond.

This conversational model’s achievements are nothing short of groundbreaking. Within just two months of its launch in January 2023, ChatGPT attained an impressive 100 million monthly active users, securing its position as the fastest-growing consumer application in history—a testament to its widespread adoption and societal impact. To put this into perspective, TikTok took approximately nine months to reach the same user milestone after its global launch, while Instagram achieved this in a comparatively longer span of 2-1/2 years.

Generative AI: Shaping the Future of Business

ChatGPT's influence extends to the broader landscape of generative AI. No longer confined to a mere tool, it has evolved into a driving force behind the future of business—affecting a paradigm shift where generative AI is not just an aspiration, but a strategic imperative for sustainable growth and competitive advantage.

This influence is palpable in the transformation of business operations; ChatGPT's integration has led to streamlined communication, elevated customer interactions, and a redefined landscape of efficiency and productivity. Its capacity to decipher and generate human-like text not only expedites decision-making but also has opened avenues for innovation and creativity previously inaccessible by AI.

The Broader Ecosystem: Beyond a Singular Tool

ChatGPT is not an isolated phenomenon. It exists within a broader ecosystem of events and products that have collectively shaped the business landscape. Executives need to keep informed of this interconnected web of advancements, ensuring that strategies encompass the entirety of the evolving business landscape.

However, the ubiquity of ChatGPT hasn't translated uniformly across the population. As revealed by a Pew Research Center survey from May 2023, only 59% of American adults are aware of ChatGPT, and a mere 14% have engaged with this innovative platform. These statistics underscore the challenges and opportunities that lie ahead as ChatGPT continues to shape the AI landscape.

The Future of Generative AI

AI typically focuses on a single type of input (e.g., text). However, the future involves accommodating multimodal signal types, meaning the AI system can process and interpret information from different sources and types—understanding not only text, but potentially images, audio, or other forms of data like your biometric signals from your Apple Watch.

This hints at a future where personalized digital assistants may redefine the very fabric of our daily lives. Imagine a world where your assistant intuitively understands you, providing a 360-degree view of your preferences, needs, and habits. This vision is already underway beyond text-based interactions, with advancements like DALL·E, designed for image generation, paving the way for a richer, more immersive and layered AI experience. By integrating advancements, future iterations of generative AI will become more intuitive—meeting you where you are instead of requiring precise language to comprehend your instructions, and incorporating elements such as biometrics and environmental signals to gain additional context.

Expanding AI Capabilities

As AI capabilities expand, there's an anticipation that generative AI will extend its applications to various data types beyond text.

By the year 2030, According to the World Economic Forum, the integration of AI into healthcare systems will allow it to access and analyze information from multiple sources, detecting complex patterns in chronic conditions to enhance treatment strategies.

The transformative impact extends to predictive analytics, where AI will empower healthcare systems to forecast an individual's risk of specific diseases. This foresight will enable proactive measures, allowing for the swift implementation of preventative interventions.

AI-powered predictive healthcare networks are also expected to aid in decreasing patient wait times, improving staff workflows, and reducing the ever-growing administrative burden by the year 2030. The collective result will be an elevated patient experience, illustrated by personalized care pathways and improved overall efficiency.

Evolving From Broad Resource to Specialized Solution

These expectations are reminiscent of the early days of the internet when companies relied heavily on comprehensive solutions like Oracle for ERP, considered the go-to solution for a wide array of business needs. Over time, however, domain-specific solutions evolved in the form of specialized SaaS products like Workday for HR and ServiceNow for IT and customer service.

In a parallel manner, ChatGPT serves as the Swiss army knife of generative AI, offering a broad-ranging solution across many applications—allowing companies to leverage its benefits without developing and maintaining their own complex systems specific for their domain.

As generative AI technology matures, and understanding continues to grow, we can anticipate further evolution and branching, likely leading to the development of specialized solutions catering to specific industries and use cases. Similar to the emergence of domain-specific SaaS products, we can expect the rise of new market leaders, each excelling in their niche and contributing to greater adoption of generative AI technologies across industries.

Complexities and Challenges of Generative AI

Generative AI, epitomized by the emergence of ChatGPT, presents exciting possibilities while maintaining a complex landscape beneath the surface. The allure of instantaneous content generation is undeniable, but concerns arise, particularly in the form of hallucinations—instances where the system produces inaccurate or fictional information that may sound entirely plausible.

AI systems consist of three key components: computational resources, data, and AI models; their effectiveness depends on synergy among these elements. In generative AI, training data quality is critical, requiring diligent curation to rectify biases and inaccuracies. Additionally, limitations in planning and backtracking reveal deficiencies in contextual and strategic thinking within these systems.

Factual accuracy is another issue. The absence of a predetermined truth framework in generative AI responses emphasizes the need for meticulous fact-checking. Despite lacking a concept of truth and accuracy, ChatGPT intentionally conveys responses with unwavering confidence, creating a blurred distinction between fiction and reality. This inherent design limitation raises concerns as the model processes all information as truth.

Another challenge arises in the significant demand for computational resources these systems require, frequently leaning heavily on costly highly performant GPUs (graphic processing units) rather than the more cost-effective CPUs (compute processing units) especially designed for generative AI workload. This limitation is further intensified by a shortage of GPUs to keep pace with the increasing demand.

Governance and Regulation in the Era of Generative AI

In June 2023, the European Parliament approved the EU Artificial Intelligence Act (EU AI Act), establishing accountability for AI developers, providers, and users to ensure safe implementation. Aligned with the European Commission's risk-based regulatory framework, the EU AI Act categorizes AI applications into four risk levels: unacceptable, high, limited, and minimal. Unacceptable risks, posing clear threats to safety, livelihoods, and rights, will be banned.

While there currently are no comprehensive AI regulations in the US, the accurate AI executive order on testing indicates a step towards ensuring the safety and reliability of its use, with numerous legislative and regulatory initiatives also being considered at both federal and state levels.

Effective governance requires collaborative efforts with regulatory bodies, industry stakeholders, and policymakers to formulate standardized guidelines that balance innovation with societal well-being. Our responsibility as company leadership lies in understanding these regulations, actively contributing to discussions, promoting ethical AI practices, and championing the establishment of regulatory frameworks that foster innovation while safeguarding societal interests.

Additional Concerns With Using Generative AI

As the capabilities of generative AI continue to advance, additional concerns related to potential misuse and vulnerabilities have surfaced:

  1. Jailbreaking: Generative AI models may face the risk of jailbreaking attempts, where malicious actors seek unauthorized access to the underlying system or exploit vulnerabilities.
  2. Prompt Injection: Unwanted or harmful instructions injected into the AI system through manipulated prompts can lead to the generation of undesirable or inappropriate content.
  3. Poisoning: Poisoning attacks involve manipulating the training data to introduce biases or distort the behavior of the generative AI model, leading to biased or unreliable outputs.

Addressing these concerns requires a multi-faceted approach involving rigorous security measures, continuous monitoring, and ongoing research to stay ahead of emerging threats. This proactive stance will contribute to the responsible and secure deployment of generative AI technologies in diverse domains.

ChatGPT: a Catalyst for Generative AI Adoption

ChatGPT is more than a standalone innovation; it is a catalyst for the broader adoption of generative AI. Its success has paved the way for similar technologies, creating an environment where businesses are increasingly open to explore and integrate generative AI into their business.

The profound advancements in generative AI are propelling us into a future laden with unprecedented possibilities. Yet, this progress prompts an examination of the ethical challenges that accompany it. The potential pitfalls, ranging from unintentional biases to privacy concerns, underscore the critical importance of implementing safeguards throughout the development process.

Tue, 19 Dec 2023 00:59:00 -0600 Committee of 200 en text/html
ServiceNow Expands Hybrid Work Environment Capabilities With Acquisition

ServiceNow strikes deal to buy Mapwize, a developer of indoor-mapping and wayfinding software, used to help workers navigate offices and utilize workplace resources.


Workflow software company ServiceNow will acquire Mapwize, a French developer of indoor-mapping and wayfinding software, under an agreement ServiceNow announced Wednesday.

ServiceNow plans to build the capabilities of Mapwize’s applications into its flagship digital workflow Now Platform and Workplace Service Delivery Suite to assist businesses and organizations that have adopted hybrid work practices.

“In the new world of hybrid work, the role of workplace services has never been more critical in creating great employee experiences,” said Blake McConnell, ServiceNow senior vice president of employee workflows, in a statement. “With Mapwize, ServiceNow will power the future of employee experiences by making it easier for people to navigate their work environment and access the workspace information and workplace services they need to remain productive.”

[Related: ServiceNow Nabs Deloitte All-Stars Larry Quinlan, Erica Volini]

ServiceNow said it expects to complete the acquisition of Mapwize sometime during the current (third) quarter of 2021. Terms of the acquisition were not disclosed.

Mapwize develops “indoor mapping” applications used by employees to navigate offices and reserve conference rooms, seats, workspaces and other workplace resources, according to the ServiceNow acquisition announcement. The Mapwize capabilities also help workplace teams “manage and update workplace floor maps based on usage trends and evolving real-estate trends.”

The Mapwize acquisition is the latest of several ServiceNow has made this year including Intellibot, a developer of robotic process automation software, and Lightstep, a provider of system observability technology.

Mapwize, based in Lille, France, was founded in 2014 by CEO Mederic Morel and CTO Mathieu Gerard.

The acquisition of Mapwize and its applications is particularly timely as many businesses and organizations adopt hybrid in-office/work-from-home practices. The applications, which run on laptops and mobile devices, are designed to “support agile and flexible workplaces,” according to ServiceNow.

ServiceNow said Mapwize’s “mapping solutions, product features and technical talent will complement and enhance” the capabilities of ServiceNow’s Workplace Service Delivery Suite, including the Workplace Space Mapping, Workplace Reservation Management, Workplace Space Management, Workplace Visitor Management, and Case and Knowledge Management applications and the Safe Workplace Suite.

“With ServiceNow, we have the unique opportunity to scale our technology to help global organizations navigate hybrid work environments,” Morel said in a statement. “Our technology, paired with the Now Platform and Workplace Service Delivery Suite, will remove the stress and time of navigating the workplace, allowing employees to stay agile and efficient in any environment, on any device.”

Wed, 11 Aug 2021 03:59:00 -0500 text/html
Application of computational thinking

Data types, structures and operators - Edexcel

Programs use data, known as ‘values’. Variables hold values. Each variable in a program must have a data type. Sometimes a programmer needs to store a lot of related data. To do this they use structures such as arrays.

Tue, 14 Mar 2023 15:50:00 -0500 en-GB text/html
Thinking Probabilistically No result found, try new keyword!Probability theory has diverse applications in a plethora of fields ... mechanics courses … the methods for studying random phenomena introduced in Thinking Probabilistically will help readers ... Wed, 27 Dec 2023 20:10:00 -0600 Thinking and Deciding

Beginning with its first edition and through subsequent editions, Thinking and Deciding has established itself as the required text and important reference work for students and scholars of human cognition and rationality. In this, the fourth edition, Jonathan Baron retains the comprehensive attention to the key questions addressed in the previous editions – How should we think? What, if anything, keeps us from thinking that way? How can we Boost our thinking and decision making? – and his expanded treatment of Topics such as risk, utilitarianism, Baye's theorem, and moral thinking. With the student in mind, the fourth edition emphasizes the development of an understanding of the fundamental concepts in judgment and decision making. This book is essential memorizing for students and scholars in judgment and decision making and related fields, including psychology, economics, law, medicine, and business.

“… An impressively broad and serious guide to the psychology of thinking and deciding.” Choice

“This volume represents an impressive textbook that is worthy of consideration in courses on thinking and decision making. … Well written and well produced.” – Contemporary Psychology

“Baron has taken on the task of examining in detail the full range and diversity of psychological research which helps him and us to understand the nature of thinking as he sees it, and to explore its application to teaching. It is a heroic effort, and thoroughly recommended.” Times Higher Education Supplement

“This magisterial book ... lays out the issues in exemplary fashion ... . This book is as balanced and clear as one is likely to find. It is an outstanding introduction to and summary of the psychology of decision making and should be widely read.” Medical Decision Making

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