Discord hops the generative AI train with ChatGPT-style tools

After you categorize tasks and add categorized timeblocks to your day, Morgen’s AI slots them in. It can import tasks from other apps, it includes a Calendly-style tool to book meetings, and it has a workflow tool to sync events between calendars or add buffers between tasks. Its AI scheduling feature isn’t available on mobile, though, and it lacks Sunsama’s review tools for more introspection about your day. Motion automatically schedules tasks around gaps in your workday, based on task priority, and it does that well.

RingCX

“I wanted to build a platform that converges everything… not just bundling products together but actually building one application that does it all,” Evans told VentureBeat in a video chat interview several days ago. This is accomplished through AI agents that act as “digital sentinels,” that serve as “always-on, context-aware cybersecurity companions integrated into phones, smart glasses, or any other digital interfaces,” he said. Explore our coverage of top AI software trends and enterprise-ready solutions in 2025.

No. 10: Adobe Express

Interactive voice response (IVR) is an automated system that interacts with callers, collects information, and directs calls to the appropriate recipient using voice or keypad inputs. This feature aids in handling high call volumes, lowering operational costs, and giving 24/7 customer support. By enabling customers to resolve queries independently, IVR elevates the customer experience.

It presents detailed call analytics and predictive contact suggestions based on the conversation’s context. Collectively, these elements contribute to an efficient and smooth user experience. Artificial intelligence call center software can improve customer service, reduce costs and maximize efficiency.

• The company recently launched Agentforce in Slack, bringing task-specific digital teammates that can update CRM records, post in channels, and assist with employee onboarding.
• The company has launched several updates designed to streamline workflows, reduce time sent on repetitive tasks, and improve access to key information.
• Talkdesk has a simple interface that is both aesthetically pleasing and functional.
• As part of the same subscription, the app can turn YouTube videos into articles, generate video descriptions and create social posts to go along with your main video content.
• Adobe Express has a thriving community of creators and business owners inside its Facebook group, with a lot of quality questions and content.

“AI in Slack is built inside our trusted infrastructure and inherits all the protections and controls of our core platform. That includes support for FedRAMP, encryption key management, international data residency, data loss prevention, and the Einstein Trust Layer,” the company wrote. To address confusion caused by workplace shorthand, Slack is launching a feature that provides on-demand definitions for acronyms, project names, and internal terms. The virtual coach will also provide staff another option to get solid advice on demand at all times, on top of existing avenues to arrange for meetings with managers, mentors or human resources teammates for guidance. Dubbed iCoach, the generative artificial intelligence-powered software will guide users via a virtual persona called Ren. Join leaders from Block, GSK, and SAP for an exclusive look at how autonomous agents are reshaping enterprise workflows – from real-time decision-making to end-to-end automation.

ClickUp Chat’s integration of AI aims to bring communication and productivity together in its platform. The Posts feature allows for longer-form, asynchronous communication, making it easier to share updates, announcements, or detailed ideas without the fear of missing out on important chat threads. The company has long aimed to reduce inefficiencies caused by the need for multiple disconnected tools, a problem Evans himself experienced in his previous ventures. According to Zeb Evans, Founder and CEO of ClickUp, the new tool isn’t just another chat app, but a new way of working.

The company is also extending its reach through new pricing strategies, including significant government discounts that mirror Google’s competitive tactics. In May, Salesforce announced up to 90% discounts for federal agencies through November, replacing fragmented agency-by-agency negotiations. That moment of confusion, of searching or asking, slows everything down,” the company noted in its announcement.

• And if you have to go to that much trouble, you might as well schedule the task yourself.
• If you need AI call center software with extensive custom report creation features, consider Dialpad.
• Additionally, Slack’s AI will provide writing tips in canvas, a feature within the platform designed to help teams view and work together on shared assets.

Why Salesforce is blocking AI competitors from accessing Slack data

Antispace is task management turned into a game, complete with AI-generated avatars and a backstory for your character. It too lets you chat with AI to add tasks and plan your day, but it has no integrations to manage tasks across multiple apps. You could build something similar in any to-do list app manually, by reviewing every app in your portfolio each morning and then adding your commitments to the day’s itinerary. Or you could build automations to copy new tasks into your primary to-do list app for you.

Advances in Natural Language Processing

There is, naturally, a great deal more one could learn about NLP’s theories and strategies; becoming a better communicator is only one facet of this field of study. However, NLP’s focus on communication is fundamental and something of which salespeople should be aware. In essence, the NLP does not address any of the challenges that you typically face in developing a real-world line of business application. It simply presents the opportunity to deliver a broader and more satisfying experience using a chat interface.

Natural language processing is the key to communicating with users, but doesn’t solve the business problem on its own

Mapping the context, specificity, and personalization of NLP to the industry it serves is challenging. If such an evolution is not taken, chatbots will continue to be costlier to develop and maintain than traditional applications. All of us react to situations and make judgments at a subconscious level. Malcolm Gladwell even explored this phenomenon not long ago in his best-seller, Blink. Marketers, whether they are salespeople or advertisers, would do well to increase their skills in non-verbal communication and in perceiving people’s presuppositions.

Beyond NLP: 8 challenges to building a chatbot

NLP is clearly relevant to one-on-one sales interactions, but it also is applicable to other areas of marketing, such as advertising. While it is easier to discern how to sell to a particular person when speaking to him or her individually, advertisers are faced with the more difficult task of targeting a mass of people at once. Consequently, many advertisers have overlooked how NLP might benefit their marketing campaigns.

The selection is subjective, based on our pick of the technologies we believe to be important and of greatest interest to InfoWorld readers. InfoWorld does not accept marketing collateral for publication and reserves the right to edit all contributed content.

Meeting the leadership challenge with business NLP

• And even though one academic study found that many methods being used to evaluate customers’ decisions are ineffective, the study also demonstrated that neuromarketing did in fact work.
• PPI will be running a Business Practitioner in the US in the fall of 2005.
• As these complexities have increased, the burden of understanding them has long surpassed the business parties who rely on them.
• Jeff Hoffman of HubSpot points out that NLP “claims people react more strongly to language that invokes one of their senses,” and that people fall roughly into the categories of visual, auditory, and kinesthetic learning.
• That’s one of three major recommendations for NLP bias researchers a recent study makes.

It fundamentally changes the way work is done in the legal profession, where knowledge is a commodity. Historically, law firms have been judged on their collective partners’ experience, which is essentially a form of intellectual property (IP). Neuromarketing has had its share of detractors (as has NLP), but it is nevertheless emerging as a legitimate field of study as scientists are conducting scholarly verifiable research. And even though one academic study found that many methods being used to evaluate customers’ decisions are ineffective, the study also demonstrated that neuromarketing did in fact work. Neuromarketing is the study of what is going on the human brain when people react to advertising.

• Authors suggest NLP researchers join other disciplines like sociolinguistics, sociology, and social psychology in examining social hierarchies like racism in order to understand how language is used to maintain social hierarchy, reinforce stereotypes, or oppress and marginalize people.
• AI for contract review makes it possible to automate the identification of contractual obligations that otherwise would be missed.
• We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI.
• Malcolm Gladwell even explored this phenomenon not long ago in his best-seller, Blink.

Ned is so obtuse (although perhaps deliberately so) that he seems utterly oblivious to the fact that Phil has no wish to talk to him. Arguably, most people are not as dense as Ned is, but some are certainly more skilled than others at reading non-verbal cues. New Tech Forum provides a venue to explore and discuss emerging enterprise technology in unprecedented depth and breadth.

How NLP Can Boost Your Marketing Influence

We welcome theoretical-applied and applied research, proposing novel computational and/or hardware solutions. I caught up with Andy Abbott, Heretik’s CTO, to learn about the challenges his team has encountered in creating an AI solution for the legal domain. Of course, when targeting different groups of people, it is still important to be strategic. The mere presence of images or words in a marketing campaign will not be enough to cause people to want to buy your product.

This draws on best NLP practice to focus on a leaderís role to motivate and empower their business and the business community. Over a period of three days delegates will develop a 30-day leadership plan based on their own and organisationís needs. Time will be given to explore vision, values, frameworks, and scenarios with practical solutions in a dedicated environment. Time frames, opportunities and challenges will also be considered.Inspired Leaders need an ever increasing range of skills and attitudes to maintain control over todayís business environment. Itís essential to master themselves, their teams, their stakeholders and at times their industry.

Microsoft researchers say NLP bias studies must consider role of social hierarchies like racism

So as we develop NLP for the legal domain, there’s some game theory involved. AI also surfaces information that previously would have been difficult to find, because you weren’t looking for it. For example, let’s say a firm is the industry leader in oil and gas law, specializing in mineral rights, and they developed and licensed an AI package to review mineral rights in the state of Wyoming. That may sound like niche expertise but if the software were made available for other attorneys to use, it could alert a lawyer in Florida who is reviewing deeds for a deceased client who has mineral rights in Wyoming. In the legal domain, AI can uncover all kinds of important information. Years ago, a person’s word or handshake was all that was needed between two parties to do business.

Compare that to the tens or even hundreds of pages of contract agreements that are required to transact business today. As these complexities have increased, the burden of understanding them has long surpassed the business parties who rely on them. Tim Cummins, CEO of the International Association for Contract and Commercial Management (IACCM) emphasized this point with the results of a recent survey that showed 88% of business people say contracts are difficult or impossible to understand. We also have technical challenges that are typical for NLP across industries.

Clinical efficacy of pre-trained large language models through the lens of aphasia

As the recently released GPT-3 and several recent studies demonstrate, racial bias, as well as bias based on gender, occupation, and religion, can be found in popular NLP language models. But a team of AI researchers wants the NLP bias research community to more closely examine and explore relationships between language, power, and social hierarchies like racism in their work. That’s one of three major recommendations for NLP bias researchers a recent study makes. Researchers also argue NLP bias research should be grounded in research that goes beyond machine learning in order to document connections between bias social hierarchy and language. “Without this grounding, researchers and practitioners risk measuring or mitigating only what is convenient to measure or mitigate, rather than what is most normatively concerning,” the paper reads. “We recommend that researchers and practitioners similarly ask how existing social hierarchies and language ideologies drive the development and deployment of NLP systems, and how these systems therefore reproduce these hierarchies and ideologies,” the paper reads.