United States

Adapting to the future | Educause

Institutions are balancing capacity issues and rapid technological advancements—including artificial intelligence—while addressing a loss of trust in higher education.

To adapt to the future, technology and data leaders must work strategically to restore trust, prepare for policy updates, and plan for online education growth.

Two items re: AI in our learning ecosystems

On 11/27/2024, in Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education technology, emerging technologies, experimentation, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, platforms, productivity / tips and tricks, research, skills, student-related, teaching & learning, tools, training / L&D, United States, universities, vendors, by Daniel Christian

From DSC:
Notebook LM continues to make waves…

“Why Technology-Driven Law Firms Are Poised For Long-Term Success” [Farrar] + other items re: legaltech

On 11/27/2024, in Artificial Intelligence/Agents/LLMs/and Related, cloud-based computing / apps / other cloud-related, human-computer interaction (HCI), ideas, innovation, instructional design, law schools, learning, learning ecosystem, Learning Experience Design, Legal operations, legal reform, legal technologies, legislatures / government / legal, skills, tools, United States, vendors, by Daniel Christian

Below is an excerpt from 2024: The State of Generative AI in the Enterprise — from Menlo Ventures

Legal: Historically resistant to tech, the legal industry ($350 million in enterprise AI spend) is now embracing generative AI to manage massive amounts of unstructured data and automate complex, pattern-based workflows. The field broadly divides into litigation and transactional law, with numerous subspecialties. Rooted in litigation, Everlaw* focuses on legal holds, e-discovery, and trial preparation, while Harvey and Spellbook are advancing AI in transactional law with solutions for contract review, legal research, and M&A. Specific practice areas are also targeted AI innovations: EvenUp focuses on injury law, Garden on patents and intellectual property, Manifest on immigration and employment law, while Eve* is re-inventing plaintiff casework from client intake to resolution.

Excerpt from Brainyacts #250 (from 11/22/24) — from the Leveraging Generative AI in Client Interviews section

Here’s what the article from Forbes said:

CodeSignal, an AI tech company, has launched Conversation Practice, an AI-driven platform to help learners practice critical workplace communication and soft skills.
Conversation Practice uses multiple AI models and a natural spoken interface to simulate real-world scenarios and provide feedback.
The goal is to address the challenge of developing conversational skills through iterative practice, without the awkwardness of peer role-play.

What I learned about this software changed my perception about how I can prepare in the future for client meetings. Here’s what I’ve taken away from the potential use of this software in a legal practice setting:

Why Technology-Driven Law Firms Are Poised For Long-Term Success — from forbes.com by Daniel Farrar

I see the shift to cloud-based digital systems, especially for small and midsized law firms, as evening the playing field by providing access to robust tools that can aid legal services. Here are some examples of how legal professionals are leveraging tech every day:

- Cloud-based case management solutions. These help enhance productivity through collaboration tools and automated workflows while keeping data secure.
- E-discovery tools. These tools manage vast amounts of data and help speed up litigation processes.
- Artificial intelligence. AI has helped automate tasks for legal professionals including for case management, research, contract review and predictive analytics.

2024: The State of Generative AI in the Enterprise — from menlovc.com (Menlo Ventures)
The enterprise AI landscape is being rewritten in real time. As pilots give way to production, we surveyed 600 U.S. enterprise IT decision-makers to reveal the emerging winners and losers.

This spike in spending reflects a wave of organizational optimism; 72% of decision-makers anticipate broader adoption of generative AI tools in the near future. This confidence isn’t just speculative—generative AI tools are already deeply embedded in the daily work of professionals, from programmers to healthcare providers.

Despite this positive outlook and increasing investment, many decision-makers are still figuring out what will and won’t work for their businesses. More than a third of our survey respondents do not have a clear vision for how generative AI will be implemented across their organizations. This doesn’t mean they’re investing without direction; it simply underscores that we’re still in the early stages of a large-scale transformation. Enterprise leaders are just beginning to grasp the profound impact generative AI will have on their organizations.

Business spending on AI surged 500% this year to $13.8 billion, says Menlo Ventures — from cnbc.com by Hayden Field

Key Points

Business spending on generative AI surged 500% this year, hitting $13.8 billion — up from just $2.3 billion in 2023, according to data from Menlo Ventures released Wednesday.
OpenAI ceded market share in enterprise AI, declining from 50% to 34%, per the report.
Amazon-backed Anthropic doubled its market share from 12% to 24%.

Microsoft quietly assembles the largest AI agent ecosystem—and no one else is close — from venturebeat.com by Matt Marshall

Microsoft has quietly built the largest enterprise AI agent ecosystem, with over 100,000 organizations creating or editing AI agents through its Copilot Studio since launch – a milestone that positions the company ahead in one of enterprise tech’s most closely watched and exciting segments.
…
The rapid adoption comes as Microsoft significantly expands its agent capabilities. At its Ignite conference [that started on 11/19/24], the company announced it will allow enterprises to use any of the 1,800 large language models (LLMs) in the Azure catalog within these agents – a significant move beyond its exclusive reliance on OpenAI’s models. The company also unveiled autonomous agents that can work independently, detecting events and orchestrating complex workflows with minimal human oversight.

Now Hear This: World’s Most Flexible Sound Machine Debuts — from
Using text and audio as inputs, a new generative AI model from NVIDIA can create any combination of music, voices and sounds.

Along these lines, also see:

Nvidia unveils AI model for music, audio that can modify voices, generate new sounds — from seekingalpha.com

AI Agents Versus Human Agency: 4 Ways To Navigate Our AI-Driven World — from forbes.com by Cornelia C. Walther

To understand the implications of AI agents, it’s useful to clarify the distinctions between AI, generative AI, and AI agents and explore the opportunities and risks they present to our autonomy, relationships, and decision-making.
…
AI Agents: These are specialized applications of AI designed to perform tasks or simulate interactions. AI agents can be categorized into:

- Tool Agents…
- Simulation Agents..

While generative AI creates outputs from prompts, AI agents use AI to act with intention, whether to assist (tool agents) or emulate (simulation agents). The latter’s ability to mirror human thought and action offers fascinating possibilities — and raises significant risks.

For a true meritocracy, education must not be one-size-fits-all [Chung]

On 11/27/2024, in career development, curriculum, Daniel S. Christian, education, education reform, Europe, experimentation, K-12 related, leadership, learning ecosystem, more voice more choice more control, skills, strategy, teachers, United States, vision/possibilities, vocational / trades, youth, by Daniel Christian

For a true meritocracy, education must not be one-size-fits-all — from edsource.org by Eric Chung

What we can do is stop deciding who is educated, intelligent and successful based on only one type of student. Instead, we should recognize the value of all students, and offer more mainstream career and technical opportunities across K-12 education.

From DSC:
Note the power of CHOICE in this next excerpt:

There is another possibility. Consider Finland, which in the 1970s switched from the German model to one that teaches a combination of academic and technical subjects until age 16, when students choose a track. The vocational path for students interested in highly -skilled trades includes carpentry and culinary arts, but it also offers applied sciences, health care, and social services, which in the United States would require attending traditional academic universities.

.
Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

Hopping on the Affordability Bandwagon [Knox]

On 11/27/2024, in business side of he, change, changing business models, colleges, cost of getting a degree, higher education, parents/guardians, student-related, United States, universities, by Daniel Christian

Hopping on the Affordability Bandwagon — from insidehighered.com by Liam Knox
Five selective colleges launched strikingly similar student aid initiatives last week for low- and middle-income students. What’s behind the frenzy to boost financial aid?

The announcements have come pouring in at a time when public resentment of elite institutions has reached a fever pitch, doubts about the value of college are at a historic high and the impact of the Supreme Court’s affirmative action ruling on demographics is becoming clear. And after last year’s bungled FAFSA rollout, families are warier than ever of financial aid promises.

“We know what’s going on with confidence in higher education, and one element of that is increasing cost and increasing debt levels,” said James Milliken, chancellor of the UT system.

It’s part of a broader marketing and recruitment effort to raise awareness of the financial aid resources at colleges with staggeringly high sticker prices—she calls it a “clear cost” initiative. And as more colleges expand financial aid, it creates a domino effect among peer institutions looking to compete for highly qualified applicants from lower income brackets, she said.

Tania LaViolet, director of research and innovation at the Aspen Institute

Skill-Based Training: Embrace the Benefits; Stay Wary of the Hype — from learningguild.com by Paige Yousey

1. Direct job relevance
One of the biggest draws of skill-based training is its direct relevance to employees’ daily roles. By focusing on teaching job-specific skills, this approach helps workers feel immediately empowered to apply what they learn, leading to a quick payoff for both the individual and the organization. Yet, while this tight focus is a major benefit, it’s important to consider some potential drawbacks that could arise from an overly narrow approach.

Be wary of:

Overly Narrow Focus: Highly specialized training might leave employees with little room to apply their skills to broader challenges, limiting versatility and growth potential.
Risk of Obsolescence: Skills can quickly become outdated, especially in fast-evolving industries. L&D leaders should aim for regular updates to maintain relevance.
Neglect of Soft Skills: While technical skills are crucial, ignoring soft skills like communication and problem-solving may lead to a lack of balanced competency.

2. Enhanced job performance…
3. Addresses skill gaps…
…and several more areas to consider

Another item from Paige Yousey

5 Key EdTech Innovations to Watch — from learningguild.com by Paige Yousey

AI-driven course design
…
Strengths

Content creation and updates: AI streamlines the creation of training materials by identifying resource gaps and generating tailored content, while also refreshing existing materials based on industry trends and employee feedback to maintain relevance.
Data-driven insights: Use AI tools to provide valuable analytics to inform course development and instructional strategies, helping learner designers identify effective practices and improve overall learning outcomes.
Efficiency: Automating repetitive tasks, such as learner assessments and administrative duties, enables L&D professionals to concentrate on developing impactful training programs and fostering learner engagement.

Concerns

Limited understanding of context: AI may struggle to understand the specific educational context or the unique needs of diverse learner populations, potentially hindering effectiveness.
Oversimplification of learning: AI may reduce complex educational concepts to simple metrics or algorithms, oversimplifying the learning process and neglecting deeper cognitive development.
Resistance to change: Learning leaders may face resistance from staff who are skeptical about integrating AI into their training practices.

Also from the Learning Guild, see:

Use Twine to Easily Create Engaging, Immersive Scenario-Based Learning — from learningguild.com by Bill Brandon

Scenario-based learning immerses learners in realistic scenarios that mimic real-world challenges they might face in their roles. These learning experiences are highly relevant and relatable. SBL is active learning. Instead of passively consuming information, learners actively engage with the content by making decisions and solving problems within the scenario. This approach enhances critical thinking and decision-making skills.

SBL can be more effective when storytelling techniques create a narrative that guides learners through the scenario to maintain engagement and make the learning memorable. Learners receive immediate feedback on their decisions and learn from their mistakes. Reflection can deepen their understanding. Branching scenarios add simulated complex decision-making processes and show the outcome of various actions through interactive scenarios where learner choices lead to different outcomes.

Embrace the Future: Why L&D Leaders Should Prioritize AI Digital Literacy — from learningguild.com by Dr. Erica McCaig

The role of L&D leaders in AI digital literacy
For L&D leaders, developing AI digital literacy within an organization requires a well-structured curriculum and development plan that equips employees with the knowledge, skills, and ethical grounding needed to thrive in an AI-augmented workplace. This curriculum should encompass a range of competencies that enhance technical understanding and foster a mindset ready for innovation and responsible use of AI. Key areas to focus on include:

Understanding AI Fundamentals: …
Proficiency with AI Tools: …
Ethical Considerations: …
Cultivating Critical Thinking: …

7 Legal Tech Trends To Watch In 2025 — from lexology.com by Sacha Kirk
Australia, United Kingdom November 25 2024

In-house legal teams are changing from a traditional support function to becoming proactive business enablers. New tools are helping legal departments enhance efficiency, improve compliance, and to deliver greater strategic value.

Here’s a look at seven emerging trends that will shape legal tech in 2025 and insights on how in-house teams can capitalise on these innovations.

1. AI Solutions…
2. Regulatory Intelligence Platforms…
…
7. Self-Service Legal Tools and Knowledge Management
As the demand on in-house legal teams continues to grow, self-service tools are becoming indispensable for managing routine legal tasks. In 2025, these tools are expected to evolve further, enabling employees across the organisation to handle straightforward legal processes independently. Whether it’s accessing pre-approved templates, completing standard agreements, or finding answers to common legal queries, self-service platforms reduce the dependency on legal teams for everyday tasks.

Advanced self-service tools go beyond templates, incorporating intuitive workflows, approval pathways, and built-in guidance to ensure compliance with legal and organisational policies. By empowering business users to manage low-risk matters on their own, these tools free up legal teams to focus on complex and high-value work.

How to use NotebookLM for personalized knowledge synthesis — from ai-supremacy.com by Michael Spencer and Alex McFarland
Two powerful workflows that unlock everything else. Intro: Golden Age of AI Tools and AI agent frameworks begins in 2025.

What is Google Learn about?
Google’s new AI tool, Learn About, is designed as a conversational learning companion that adapts to individual learning needs and curiosity. It allows users to explore various topics by entering questions, uploading images or documents, or selecting from curated topics. The tool aims to provide personalized responses tailored to the user’s knowledge level, making it user-friendly and engaging for learners of all ages.

Is Generative AI leading to a new take on Educational technology? It certainly appears promising heading into 2025.

The Learn About tool utilizes the LearnLM AI model, which is grounded in educational research and focuses on how people learn. Google insists that unlike traditional chatbots, it emphasizes interactive and visual elements in its responses, enhancing the educational experience. For instance, when asked about complex topics like the size of the universe, Learn About not only provides factual information but also includes related content, vocabulary building tools, and contextual explanations to deepen understanding.

What Teacher Pay and Benefits Look Like, in Charts — from edweek.org by Sarah D. Sparks

Special education staffing shortages put students’ futures at risk. How to solve that is tricky. — from chalkbeat.org by Kalyn Belsha

The debate comes as the number of students with disabilities is growing. Some 7.5 million students required special education services as of the 2022-23 school year, the latest federal data shows, or around 15% of students. That was up from 7.1 million or 14% of students in the 2018-19 school year, just before the pandemic hit.

It’s unclear if the rise is due to schools getting better at identifying students with disabilities or if more children have needs now. Many young children missed early intervention and early special education services during the pandemic, and many educators say they are seeing higher behavioral needs and wider academic gaps in their classrooms.

“Students are arriving in our classrooms with a high level of dysregulation, which is displayed through their fight, flight, or freeze responses,” Tiffany Anderson, the superintendent of Topeka, Kansas’ public schools, wrote in her statement. “Students are also displaying more physically aggressive behavior.”

Expanding Access, Value and Experiences Through Credentialing — from gettingsmart.com by Nate McClennen, Tom Vander Ark and Mason Pashia
A Landscape Analysis of Credentialing and Its Impact on K-12

Executive Summary

This report examines the evolving landscape of credentialing and learner records within global education systems, highlighting a shift from traditional time-based signals—such as courses and grades—to competency-based signals (credentials and learner records).

Also recommended by Getting Smart, see:

New Goals Learning Experiences and Signals — — from gettingsmart.com by Tom Vander Ark and Carri Schneider

Retrieval practice improves learning for neurodiverse students — from by Pooja K. Agarwal, Ph.D.

In my 15+ years of teaching, I have had students with autism spectrum disorder, ADHD, dyslexia, and a range of learning disabilities. I have grown in my understanding of inclusive teaching practices and I strive to incorporate universal design principles in my teaching.

From my classroom experience, I know that retrieval practice improves learning for all of my students, including those who are neurodiverse. But what have researchers found about retrieval practice with neurodiverse learners?

(Side note: If you’d like an intro on neurodiversity and what it means in the classroom, I recommend this podcast episode from The Learning Scientists and this podcast episode from Teaching in Higher Ed. For teaching tips, I recommend this article from the University of Illinois CITL.)

Instructure Is Ready To Lead The Next Evolution In Learning — from forbes.com by Ray Ravaglia

Learning Management In The AI Future
While LMS platforms like Canvas have positively impacted education, they’ve rarely lived up to their potential for personalized learning. With the advent of artificial intelligence (AI), this is set to change in revolutionary ways.

The promise of AI lies in its ability to automate repetitive tasks associated with student assessment and management, freeing educators to focus on education. More significantly, AI has the potential to go beyond the narrow focus on the end products of learning (like assignments) to capture insights into the learning process itself. This means analyzing the entire transcript of activities within the LMS, providing a dynamic, data-driven view of student progress rather than just seeing signposts of where students have been and what they have taken away.
…
Things become more potent by moving away from a particular student’s traversal of a specific course to looking at large aggregations of students traversing similar courses. This is why Instructure’s acquisition of Parchment, a company specializing in credential and transcript management, is so significant.

Sharpen your students’ interview skills — from timeshighereducation.com by Lewis Humphreys (though higher education-related, this is still solid information for those in K12)
The employees of the future will need to showcase their skills in job interviews. Make sure they’re prepared for each setting, writes Lewis Humphreys

In today’s ultra-competitive job market, strong interview skills are paramount for students taking their first steps into the professional world. University careers services play a crucial role in equipping our students with the tools and confidence needed to excel in a range of interview settings. From pre-recorded video interviews to live online sessions and traditional face-to-face meetings, students must be adaptable and well-prepared. Here, I’ll explore ways universities can teach interview skills to students and graduates, helping them to present themselves and their skills in the best light possible.

Reflections on “Introducing Copilot Actions, new agents, and tools to empower IT teams” [Spataro]

On 11/21/2024, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, business, Daniel S. Christian, human-computer interaction (HCI), ideas, innovation, Microsoft, platforms, productivity / tips and tricks, tools, United States, vendors, by Daniel Christian

Introducing Copilot Actions, new agents, and tools to empower IT teams — from microsoft.com by Jared Spataro

[On November 19th] at Microsoft Ignite 2024, we’re accelerating our ambition to empower every employee with Copilot as a personal assistant and to transform every business process with agents built in Microsoft Copilot Studio.

Announcements include:

Copilot Actions in Microsoft 365 Copilot to help you automate everyday repetitive tasks.
New agents in Microsoft 365 to unlock SharePoint knowledge, provide real-time language interpretation in Microsoft Teams meetings, and automate employee self-service.
The Copilot Control System to help IT professionals confidently manage Copilot and agents securely.

These announcements build on our wave 2 momentum, including the new autonomous agent capabilities that we announced in October 2024.

Per the Rundown AI:

By integrating AI agents directly into Microsoft’s billion-plus users’ daily workflows, this release could normalize agentic AI faster than any previous rollout. Just as users now reach for specific apps or plugins to solve particular problems, specialized agents could soon become the natural first stop for getting work done.

Along these lines, also see:

AI agents — what they are, and how they’ll change the way we work — from news.microsoft.com by Susanna Ray

An agent takes the power of generative AI a step further, because instead of just assisting you, agents can work alongside you or even on your behalf. Agents can do a range of things, from responding to questions to more complicated or multistep assignments. What sets them apart from a personal assistant is that they can be tailored to have a particular expertise.

For example, you could create an agent to know everything about your company’s product catalog so it can draft detailed responses to customer questions or automatically compile product details for an upcoming presentation.

Microsoft pitches AI ‘agents’ that can perform tasks on their own at Ignite 2024 — from techxplore.com
Microsoft CEO Satya Nadella told customers at a conference in Chicago on Tuesday that the company is teaching a new set of artificial intelligence tools how to “act on our behalf across our work and life.”

From DSC:
I am not trying to push all things AI. There are serious concerns that I and others have with agents and other AI-based technologies especially:

When competitive juices get going and such forces throw people and companies into a sort of an AI arms race, and
When many people haven’t yet obtained the wisdom of reflecting on things like “just because we CAN build this doesn’t mean we SHOULD build it”, or
When governments seek to be the leader of AI due to military applications (and yes, I’m looking at the U.S. Federal Government especially here)
Etc, etc.

But there are also areas where I’m more hopeful and positive about AI-related technologies — such as providing personalized learning and productivity tools (like those from Microsoft above).

VR training aims to help doctors avoid bias — from inavateonthenet.net

A new virtual reality training programme aims to tackle biases in healthcare settings, aimed at improving recognition, understanding, and addressing implicit bias towards black mothers.

Participants in the program at the University of Illinois Urbana-Champaign underwent a series of three modules, with the first module focusing on implicit bias and how it can negatively affect a patient at a doctor’s appointment.

“Trade School Enrollment Surges Post-Pandemic, Outpacing Traditional Universities” + other items re: HE

On 11/19/2024, in colleges, curriculum, game-changing environment, health, higher education, parents/guardians, student-related, trends, United States, universities, vocational / trades, by Daniel Christian

Trade School Enrollment Surges Post-Pandemic, Outpacing Traditional Universities — from businesswire.com
New Report Highlights Growth in Healthcare and Culinary Arts Programs

CHICAGO–(BUSINESS WIRE)–A new report released today by Validated Insights, a higher education marketing firm, reveals a significant increase in trade school enrollment following the pandemic, with a 4.9% growth from 2020 to 2023. This surge contrasts sharply with a 0.6% decline in university enrollment during the same period, highlighting a growing preference for career-focused education.
…
The report highlights the diverse landscape of trade schools, with varying enrollment trends across different categories and subtypes. While some sectors face challenges, others, like Culinary Arts and Beauty and Wellness, present significant growth opportunities and shifting student attitudes.

A trend colleges might not want applicants to notice: It’s becoming easier to get in — from hechingerreport.orgby Jon Marcus
Despite public perception, and for the first time in decades, acceptance rates are going up

As enrollment in colleges and universities continues to decline — down by more than 2 million students, or 10 percent, in the 10 years ending 2022 — they’re not only casting wider nets. Something else dramatic is happening to the college application process, for the first time in decades:

It’s becoming easier to get in.

Colleges and universities, on average, are admitting a larger proportion of their applicants than they did 20 years ago, new research by the conservative think tank the American Enterprise Institute finds.

“Leveraging AI to Grow Your Legal Practice” [americanbar.org] + other items re: legaltech

On 11/19/2024, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, Australia, bots, Canada, emerging technologies, future, game-changing environment, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, UK, United States, vendors, by Daniel Christian

Five key issues to consider when adopting an AI-based legal tech — from legalfutures.co.uk by Mark Hughes

As more of our familiar legal resources have started to embrace a generative AI overhaul, and new players have come to the market, there are some key issues that your law firm needs to consider when adopting an AI-based legal tech.

Licensing
Data protection
The data sets
…and others

Knowable Introduces Gen AI Tool It Says Will Revolutionize How Companies Interact with their Contracts — from lawnext.com by Bob Ambrogi

Knowable, a legal technology company specializing in helping organizations bring order and organization to their executed agreements, has announced Ask Knowable, a suite of generative AI-powered tools aimed at transforming how legal teams interact with and understand what is in their contracts.

Released today as a commercial preview and set to launch for general availability in March 2025, the feature marks a significant step forward in leveraging large language models to address the complexities of contract management, the company says.

The Global Legal Post teams up with LexisNexis to explore challenges and opportunities of Gen AI adoption — from globallegalpost.com by
Series of articles will investigate key criteria to consider when investing in Gen AI

The Global Legal Post has teamed up with LexisNexis to help inform readers’ decision-making in the selection of generative AI (Gen AI) legal research solutions.

The Generative AI Legal Research Hub in association with LexisNexis will host a series of articles exploring the key criteria law firms and legal departments should consider when seeking to harness the power of Gen AI to improve the delivery of legal services.

Leveraging AI to Grow Your Legal Practice — from americanbar.org

Summary

AI-powered tools like chat and scheduling meet clients’ demand for instant, personalized service, improving engagement and satisfaction.
Firms using AI see up to a 30% increase in lead conversion, cutting client acquisition costs and maximizing marketing investments.
AI streamlines processes, speeds up response times, and enhances client engagement—driving growth and long-term client retention.

How a tech GC views AI-enabled efficiencies and regulation — from legaldive.com by Justin Bachman
PagerDuty’s top in-house counsel sees legal AI tools as a way to scale resources without adding headcount while focusing lawyers on their high-value work.

Innovations in Legal Practice: How Tim Billick’s Firm Stays Ahead with AI and Technology — from techtimes.com by Elena McCormick

Enhancing Client Service through Technology
Beyond internal efficiency, Billick’s firm utilizes technology to improve client communication and engagement. By adopting client-facing AI tools, such as chatbots for routine inquiries and client portals for real-time updates, Practus makes legal processes more transparent and accessible to its clients. According to Billick, this responsiveness is essential in IP law, where clients often need quick updates and answers to time-sensitive questions about patents, trademarks, and licensing agreements.

AI-driven client management software is also part of the firm’s toolkit, enabling Billick and his team to track each client’s case progress and share updates efficiently. The firm’s technology infrastructure supports clients from various sectors, including engineering, software development, and consumer products, tailoring case workflows to meet unique needs within each industry. “Clients appreciate having immediate access to their case status, especially in industries where timing is crucial,” Billick shares.

New Generative AI Study Highlights Adoption, Use and Opportunities in the Legal Industry — from prnewswire.com by Relativity

CHICAGO, Nov. 12, 2024 /PRNewswire/ — Relativity, a global legal technology company, today announced findings from the IDC InfoBrief, Generative AI in Legal 2024, commissioned by Relativity. The study uncovers the rapid increase of generative AI adoption in the legal field, examining how legal professionals are navigating emerging challenges and seizing opportunities to drive legal innovation.

The international study surveyed attorneys, paralegals, legal operations professionals and legal IT professionals from law firms, corporations and government agencies. Respondents were located in Australia, Canada, Ireland, New Zealand, the United Kingdom and the United States. The data uncovered important trends on how generative AI has impacted the legal industry and how legal professionals will use generative AI in the coming years.

The Edtech Insiders Generative AI Map — from edtechinsiders.substack.com by Ben Kornell, Alex Sarlin, Sarah Morin, and Laurence Holt
A market map and database featuring 60+ use cases for GenAI in education and 300+ GenAI powered education tools.

A Student’s Guide to Writing with ChatGPT— from openai.com

Used thoughtfully, ChatGPT can be a powerful tool to help students develop skills of rigorous thinking and clear writing, assisting them in thinking through ideas, mastering complex concepts, and getting feedback on drafts.

There are also ways to use ChatGPT that are counterproductive to learning—like generating an essay instead of writing it oneself, which deprives students of the opportunity to practice, improve their skills, and grapple with the material.

For students committed to becoming better writers and thinkers, here are some ways to use ChatGPT to engage more deeply with the learning process.

Community Colleges Are Rolling Out AI Programs—With a Boost from Big Tech — from workshift.org by Colleen Connolly

The Big Idea: As employers increasingly seek out applicants with AI skills, community colleges are well-positioned to train up the workforce. Partnerships with tech companies, like the AI Incubator Network, are helping some colleges get the resources and funding they need to overhaul programs and create new AI-focused ones.

Along these lines also see:

Practical AI Training — from the-job.beehiiv.com by Paul Fain
Community colleges get help from Big Tech to prepare students for applied AI roles at smaller companies.

Miami Dade and other two-year colleges try to be nimble by offering training for AI-related jobs while focusing on local employers. Also, Intel’s business struggles while the two-year sector wonders if Republicans will cut funds for semiconductor production.

Can One AI Agent Do Everything? How To Redesign Jobs for AI? HR Expertise And A Big Future for L&D. — from joshbersin.com by Josh Bersin

Here’s the AI summary, which is pretty good.

In this conversation, Josh Bersin discusses the evolving landscape of AI platforms, particularly focusing on Microsoft’s positioning and the challenges of creating a universal AI agent. He delves into the complexities of government efficiency, emphasizing the institutional challenges faced in re-engineering government operations.

The conversation also highlights the automation of work tasks and the need for businesses to decompose job functions for better efficiency.

Bersin stresses the importance of expertise in HR, advocating for a shift towards full stack professionals who possess a broad understanding of various HR functions.

Finally, he addresses the impending disruption in Learning and Development (L&D) due to AI advancements, predicting a significant transformation in how L&D professionals will manage knowledge and skills.

Learning Ecosystems

VR training aims to help doctors avoid bias [inavateonthenet.net]

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